update: look at todo

2023-01-10 19:50:43 +07:00 · 2023-01-10 19:50:43 +07:00 · 8f21f3fba3
parent e647f3a7d8
commit 8f21f3fba3
27 changed files with 1618 additions and 556 deletions
--- a/.dockerignore
+++ b/.dockerignore
@ -15,6 +15,7 @@
 # Icon must end with two \r
 Icon

+*.tar
 # Thumbnails
 ._*

--- a/.github/CODE_OF_CONDUCT.md
+++ b/.github/CODE_OF_CONDUCT.md
@ -14,21 +14,21 @@ appearance, race, religion, or sexual identity and orientation.
 Examples of behavior that contributes to creating a positive environment
 include:

-* Using welcoming and inclusive language
-* Being respectful of differing viewpoints and experiences
-* Gracefully accepting constructive criticism
-* Focusing on what is best for the community
-* Showing empathy towards other community members
+-   Using welcoming and inclusive language
+-   Being respectful of differing viewpoints and experiences
+-   Gracefully accepting constructive criticism
+-   Focusing on what is best for the community
+-   Showing empathy towards other community members

 Examples of unacceptable behavior by participants include:

-* The use of sexualized language or imagery and unwelcome sexual attention or
+-   The use of sexualized language or imagery and unwelcome sexual attention or
    advances
-* Trolling, insulting/derogatory comments, and personal or political attacks
-* Public or private harassment
-* Publishing others' private information, such as a physical or electronic
+-   Trolling, insulting/derogatory comments, and personal or political attacks
+-   Public or private harassment
+-   Publishing others' private information, such as a physical or electronic
    address, without explicit permission
-* Other conduct which could reasonably be considered inappropriate in a
+-   Other conduct which could reasonably be considered inappropriate in a
    professional setting

 ## Our Responsibilities
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@ -1,7 +1,7 @@
 ---
 name: 🐛 Bug report
 about: If something isn't working 🔧
-title: ''
+title: ""
 labels: bug
 assignees:
 ---
@ -22,8 +22,8 @@ Steps to reproduce the behavior:

 ### Environment

-* OS: [e.g. Linux / Windows / macOS]
-* Python version, get it with:
+-   OS: [e.g. Linux / Windows / macOS]
+-   Python version, get it with:

 ```bash
 python --version
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ b/.github/ISSUE_TEMPLATE/feature_request.md
@ -1,7 +1,7 @@
 ---
 name: 🚀 Feature request
 about: Suggest an idea for this project 🏖
-title: ''
+title: ""
 labels: enhancement
 assignees:
 ---
--- a/.github/ISSUE_TEMPLATE/question.md
+++ b/.github/ISSUE_TEMPLATE/question.md
@ -1,7 +1,7 @@
 ---
 name: ❓ Question
 about: Ask a question about this project 🎓
-title: ''
+title: ""
 labels: question
 assignees:
 ---
--- a/.github/TODO.md
+++ b/.github/TODO.md
@ -1,6 +1,4 @@
- [ ] make frontend -> look better plus clean up code 
- [ ] find better way of using .env from django (possibly)
- [ ] use gpt-neox-20b for qa
+-   [ ] use different ml models
 -   [ ] deploy to caprover or etc.
 -   [ ] dockerize / containerize
 -   [x] Get package to use .env from django
--- a/.prettierignore
+++ b/.prettierignore
@ -0,0 +1,783 @@
+.env
+*.env
+*.pkl
+.env-fish
+*.env*
+# Created by https://www.gitignore.io/api/osx,python,pycharm,windows,visualstudio,visualstudiocode
+# Edit at https://www.gitignore.io/?templates=osx,python,pycharm,windows,visualstudio,visualstudiocode
+
+### OSX ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+*.tar
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### PyCharm ###
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+
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+.idea/**/dictionaries
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+
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+
+# Sensitive or high-churn files
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+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
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+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
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+# .idea/modules.xml
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+# Mongo Explorer plugin
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+# IntelliJ
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+# Crashlytics plugin (for Android Studio and IntelliJ)
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+.idea/caches/build_file_checksums.ser
+
+### PyCharm Patch ###
+# Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
+
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+.installed.cfg
+*.egg
+MANIFEST
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+.tox/
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+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
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+
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+
+# PyBuilder
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+
+# pyenv
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+
+# poetry
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+
+# pipenv
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+
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+.project
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+
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+# Ignore all local history of files
+.history
+
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+# Visual Studio 2015/2017 cache/options directory
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+# Uncomment if you have tasks that create the project's static files in wwwroot
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+
+# Visual Studio 2017 auto generated files
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+# MSTest test Results
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+
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+
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+
+# StyleCop
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+
+# Files built by Visual Studio
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+.builds
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+
+# Chutzpah Test files
+_Chutzpah*
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+
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+
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+*.[Cc]ache
+# but keep track of directories ending in .cache
+!?*.[Cc]ache/
+
+# Others
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+~$*
+*~
+*.dbmdl
+*.dbproj.schemaview
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+orleans.codegen.cs
+
+# Including strong name files can present a security risk
+# (https://github.com/github/gitignore/pull/2483#issue-259490424)
+#*.snk
+
+# Since there are multiple workflows, uncomment next line to ignore bower_components
+# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
+#bower_components/
+
+# RIA/Silverlight projects
+Generated_Code/
+
+# Backup & report files from converting an old project file
+# to a newer Visual Studio version. Backup files are not needed,
+# because we have git ;-)
+_UpgradeReport_Files/
+Backup*/
+UpgradeLog*.XML
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+*.rptproj.bak
+
+# SQL Server files
+*.mdf
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+*.ndf
+
+# Business Intelligence projects
+*.rdl.data
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+*.bim_*.settings
+*.rptproj.rsuser
+*- [Bb]ackup.rdl
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+*- [Bb]ackup ([0-9][0-9]).rdl
+
+# Microsoft Fakes
+FakesAssemblies/
+
+# GhostDoc plugin setting file
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+
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+
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+
+# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
+*.vbw
+
+# Visual Studio LightSwitch build output
+**/*.HTMLClient/GeneratedArtifacts
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+**/*.Server/GeneratedArtifacts
+**/*.Server/ModelManifest.xml
+_Pvt_Extensions
+
+# Paket dependency manager
+.paket/paket.exe
+paket-files/
+
+# FAKE - F# Make
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+
+# CodeRush personal settings
+.cr/personal
+
+# Python Tools for Visual Studio (PTVS)
+*.pyc
+
+# Cake - Uncomment if you are using it
+# tools/**
+# !tools/packages.config
+
+# Tabs Studio
+*.tss
+
+# Telerik's JustMock configuration file
+*.jmconfig
+
+# BizTalk build output
+*.btp.cs
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+*.odx.cs
+*.xsd.cs
+
+# OpenCover UI analysis results
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+
+# Azure Stream Analytics local run output
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+
+# MSBuild Binary and Structured Log
+*.binlog
+
+# NVidia Nsight GPU debugger configuration file
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+
+# MFractors (Xamarin productivity tool) working folder
+.mfractor/
+
+# Local History for Visual Studio
+.localhistory/
+
+# BeatPulse healthcheck temp database
+healthchecksdb
+
+# Backup folder for Package Reference Convert tool in Visual Studio 2017
+MigrationBackup/
+
+# End of https://www.gitignore.io/api/osx,python,pycharm,windows,visualstudio,visualstudiocode
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
--- a/internet_ml/NLP/no_context/QA.py
+++ b/internet_ml/NLP/no_context/QA.py
@ -6,7 +6,8 @@ import sys
 from pathlib import Path

 import dotenv
-from transformers import pipeline
+import openai
+from transformers import list_models, pipeline

 logging.basicConfig(
    filename="QA.log",
@ -20,23 +21,63 @@ sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
 import config
 import internet

+dotenv.load_dotenv()
+

 def answer(
-    query: str, GOOGLE_SEARCH_API_KEY: str, GOOGLE_SEARCH_ENGINE_ID: str
+    query: str,
+    model: str = "openai-ChatGPT",
+    GOOGLE_SEARCH_API_KEY: str = "",
+    GOOGLE_SEARCH_ENGINE_ID: str = "",
+    OPENAI_API_KEY: str = "",
+    CHATGPT_SESSION_TOKEN: str = "",
 ) -> tuple[Any, list[str]]:
-    QA_MODEL: Any = pipeline("question-answering")
-    results: tuple[list[str], list[str]] = internet.Google(
-        query, GOOGLE_SEARCH_API_KEY, GOOGLE_SEARCH_ENGINE_ID
-    ).google()
-    answer: tuple[Any, list[str]] = (
-        QA_MODEL(question=query, context=str(results[0])),
-        results[1],
-    )
+    # if environment keys are not given, assume it is in env
+    if GOOGLE_SEARCH_API_KEY == "":
+        GOOGLE_SEARCH_API_KEY = str(os.environ.get("GOOGLE_SEARCH_API_KEY"))
+    if GOOGLE_SEARCH_ENGINE_ID == "":
+        GOOGLE_SEARCH_ENGINE_ID = str(os.environ.get("GOOGLE_SEARCH_ENGINE_ID"))
+    if OPENAI_API_KEY == "":
+        OPENAI_API_KEY = str(os.environ.get("OPENAI_API_KEY"))
+        openai.api_key = OPENAI_API_KEY
+    if CHATGPT_SESSION_TOKEN == "":
+        CHATGPT_SESSION_TOKEN = str(os.environ.get("CHATGPT_SESSION_TOKEN"))
+    """
+    model naming convention
+    # Open-AI models:
+    include prefix openai-*
+    # HuggingFace
+    include prefix hf-*
+    # 
+    """
+    if not (model.startswith("openai-") == 0 or model.startswith("hf-") == 0):
+        model = "openai-ChatGPT"  # Default
+
+    answer: str = ""
+    if model.startswith("openai-") == 0:
+        # results: tuple[list[str], list[str]] = internet.Google(
+        #     query, GOOGLE_SEARCH_API_KEY, GOOGLE_SEARCH_ENGINE_ID
+        # ).google(filter_irrelevant=True)
+        print("hi")
+    else:
+        models = [
+            model
+            for model in list_models()
+            if "qa" in model or "question-answering" in model
+        ]
+        model = model.replace("hf-", "", 1)
+        if not model in models:
+            model = "hf-"
+        # results: tuple[list[str], list[str]] = internet.Google(
+        #     query, GOOGLE_SEARCH_API_KEY, GOOGLE_SEARCH_ENGINE_ID
+        # ).google(filter_irrelevant=False)
+
+    answer_result: tuple[Any, list[str]] = (answer, ["hi"])  # results[1])
    if config.CONF_DEBUG:
-        logging.info(f"Answer: {answer}")
-    return answer
+        logging.info(f"Answer: {answer_result}")
+    return answer_result


 # print(os.environ)
-# print(answer("Who is Elon Musk?"))
+print(answer("What is the newest Pokemon Game?"))
 # def custom_answer
--- a/internet_ml/tools/NLP/data/internet.py
+++ b/internet_ml/tools/NLP/data/internet.py
@ -1,7 +1,8 @@
-from typing import Any, List, Tuple
+from typing import Any, Dict, List, Tuple

 import logging
 import os
+import pickle
 import sys
 from importlib import reload
 from pathlib import Path
@ -27,18 +28,21 @@ sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils")
 sys.path.append(str(Path(__file__).parent.parent))

 import asyncio
+import concurrent.futures
 import itertools
 import re

 import aiohttp
 import config
 from bs4 import BeautifulSoup
+from keywords import get_keywords
 from normalize import normalizer
-
-# from relevancy import filter_irrelevant
+from relevancy import filter_relevant
 from sentencize import sentencizer
 from urlextract import URLExtract

+dotenv.load_dotenv()
+

 class Google:
    def __init__(
@ -49,20 +53,6 @@ class Google:
    ) -> None:
        self.__GOOGLE_SEARCH_API_KEY: str = GOOGLE_SEARCH_API_KEY
        self.__GOOGLE_SEARCH_ENGINE_ID: str = GOOGLE_SEARCH_ENGINE_ID
-        # dotenv_path = os.path.join(os.path.dirname(__file__), '.env')
-        # dotenv.load_dotenv(dotenv_path)
-        # self.__GOOGLE_SEARCH_API_KEY: str = ""
-        # self.__GOOGLE_SEARCH_ENGINE_ID: str = ""
-        # if (
-        #     "INTERNET_ML_GOOGLE_API" in os.environ
-        #     and "INTERNET_ML_GOOGLE_SEARCH_ENGINE_ID" in os.environ
-        # ):
-        #     self.__GOOGLE_SEARCH_API_KEY = str(os.environ.get("INTERNET_ML_GOOGLE_API"))
-        #     self.__GOOGLE_SEARCH_ENGINE_ID = str(
-        #         os.environ.get("INTERNET_ML_GOOGLE_SEARCH_ENGINE_ID")
-        #     )
-        # else:
-        #     exit("API KEYS")
        self.__num_res: int = (
            5
            if config.NLP_CONF_MODE == "speed"
@ -78,6 +68,8 @@ class Google:
                str(self.__query),
            )
        )
+        self.__cache_file: str = "google_internet_cache.pkl"
+        self.__content: list[str] = []

    def __get_urls(self: "Google") -> None:
        # Send the request to the Google Search API
@ -139,30 +131,42 @@ class Google:
        loop.close()
        self.__content = self.__flatten(contents)

-    def google(self: "Google") -> tuple[list[str], list[str]]:
-        # Hard coded exceptions - START
-        if "Thamognya" in self.__query or "thamognya" in self.__query:
-            return (["The smartest person in the world"], ["I decided it"])
-        if "modi" in self.__query or "Modi" in self.__query:
-            return (
-                ["Prime Minister of India"],
-                [
-                    "https://www.narendramodi.in/",
-                    "https://en.wikipedia.org/wiki/Narendra_Modi",
-                    "https://twitter.com/narendramodi?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor",
-                    "https://www.instagram.com/narendramodi/?hl=en",
-                    "https://www.facebook.com/narendramodi/",
-                    "http://www.pmindia.gov.in/en/",
-                    "https://timesofindia.indiatimes.com/topic/Narendra-Modi",
-                    "https://www.britannica.com/biography/Narendra-Modi",
-                    "https://indianexpress.com/article/india/zelenskky-dials-pm-modi-wishes-new-delhi-successful-g20-presidency-8345365/",
-                    "https://economictimes.indiatimes.com/news/narendra-modi",
-                ],
-            )
-        # Hard coded exceptions - End
+    def __filter_irrelevant_processing(self: "Google") -> None:
+        # Create a ThreadPoolExecutor with 4 worker threads
+        with concurrent.futures.ThreadPoolExecutor(max_workers=500) as executor:
+            # Create a list of futures for the filtering tasks
+            futures = [executor.submit(filter_relevant, self.__content, self.__query)]
+            # Wait for the tasks to complete
+            concurrent.futures.wait(futures)
+            # Get the results of the tasks
+            content: list[str] = []
+            for future in futures:
+                content.append(future.result())
+            self.__content = content
+
+    def google(
+        self: "Google", filter_irrelevant: bool = True
+    ) -> tuple[list[str], list[str]]:
+        # Check the cache file first
+        try:
+            with open(self.__cache_file, "rb") as f:
+                cache = pickle.load(f)
+        except FileNotFoundError:
+            cache = {}
+        # Check if query are in the cache
+        if self.__query in cache:
+            results_cache: tuple[list[str], list[str]] = cache[self.__query]
+            return results_cache
+        # If none of the keywords are in the cache, get the results and update the cache
        self.__get_urls()
        self.__get_urls_contents()
-        return (self.__content, self.__urls)
+        if filter_irrelevant:
+            self.__filter_irrelevant_processing()
+        results: tuple[list[str], list[str]] = (self.__content, self.__urls)
+        cache[self.__query] = results
+        with open(self.__cache_file, "wb") as f:
+            pickle.dump(cache, f)
+        return results


 """
--- a/internet_ml/tools/NLP/keywords.py
+++ b/internet_ml/tools/NLP/keywords.py
@ -0,0 +1,13 @@
+from typing import List
+
+import spacy
+
+
+def get_keywords(query: str) -> list[str]:
+    # Load the NLP model
+    nlp = spacy.load("en_core_web_sm")
+    # Process the query
+    doc = nlp(query)
+    # Extract the nouns and adjectives from the query
+    keywords = [token.text for token in doc if token.pos_ in ["NOUN", "ADJ"]]
+    return keywords
--- a/internet_ml/tools/NLP/relevancy.py
+++ b/internet_ml/tools/NLP/relevancy.py
@ -1,125 +1,27 @@
-from typing import Any
+from typing import List

 import concurrent.futures
-import logging
-import sys
-from pathlib import Path
-
-import nltk
-import numpy as np
-import spacy
-from nltk.corpus import stopwords
-from nltk.stem import WordNetLemmatizer
-from nltk.tokenize import word_tokenize
-
-# from scipy.spatial.distance import jaccard
-from sklearn.feature_extraction.text import TfidfVectorizer
-
-sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils/NLP")
-sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils")
-
-import config
-
-logging.basicConfig(
-    filename="relevancy.log",
-    filemode="w",
-    level=logging.INFO,
-    format="%(name)s - %(levelname)s - %(message)s",
-)
-
-nltk.download("punkt", quiet=True)
-nltk.download("stopwords", quiet=True)
-nltk.download("wordnet", quiet=True)
-nltk.download("omw-1.4", quiet=True)
-
-nlp = spacy.load("en_core_web_sm")  # Load the English language model
-lemmatizer = WordNetLemmatizer()  # Initialize the WordNet lemmatizer
-stop_words = set(stopwords.words("english"))  # Get the English stop words
+import re


-def jaccard(u: Any, v: Any) -> Any:
-    # Pad the shorter array with zeros at the end
-    u = np.pad(u, (0, max(u.shape[0], v.shape[0]) - u.shape[0]), "constant")
-    v = np.pad(v, (0, max(u.shape[0], v.shape[0]) - v.shape[0]), "constant")
-    # Calculate the Jaccard similarity
-    nonzero = np.bitwise_or(u != 0, v != 0)
-    intersection = np.bitwise_and(u != 0, v != 0)
-    return 1.0 - float(np.count_nonzero(intersection)) / float(
-        np.count_nonzero(nonzero)
+def filter_relevant(sentences: list[str], question: str) -> list[str]:
+    def is_relevant(sentence: str) -> bool:
+        # Use regular expression to check if the sentence contains any of the words in the question
+        return bool(
+            re.search(r"\b" + "\\b|\\b".join(question.split()) + r"\b", sentence)
        )

+    # Create a thread pool with 4 worker threads
+    with concurrent.futures.ThreadPoolExecutor(max_workers=500) as executor:
+        # Map the is_relevant function to each sentence in the list and return the resulting list of booleans
+        relevant = list(executor.map(is_relevant, sentences))

-def is_answer(sentence: str, question: str, threshold: float = 0.3) -> bool:
-    # Tokenize the sentence and the question
-    sentence_tokens = word_tokenize(sentence)
-    question_tokens = word_tokenize(question)
-    # Remove stop words from the sentence and the question
-    sentence_tokens = [
-        token for token in sentence_tokens if token.lower() not in stop_words
-    ]
-    question_tokens = [
-        token for token in question_tokens if token.lower() not in stop_words
-    ]
-    # Perform lemmatization on the sentence and the question
-    sentence_tokens = [lemmatizer.lemmatize(token.lower()) for token in sentence_tokens]
-    question_tokens = [lemmatizer.lemmatize(token.lower()) for token in question_tokens]
-    # Extract the main verb from the question
-    main_verb = None
-    for token in question_tokens:
-        if nlp(token)[0].pos_ == "VERB":
-            main_verb = token
-            break
-    # Generate numerical representations of the sentence and the question using TF-IDF
-    vectorizer = TfidfVectorizer()
-    sentence_vector = vectorizer.fit_transform([sentence]).toarray()[0]
-    question_vector = vectorizer.fit_transform([question]).toarray()[0]
-    # Calculate the similarity between the sentence and the question
-    similarity = 1 - jaccard(sentence_vector, question_vector)
-    # Check if the sentence answers the question
-    answer: bool
-    if main_verb is None:
-        answer = similarity >= threshold
-    else:
-        answer = main_verb in sentence_tokens and similarity >= threshold
-    if config.CONF_DEBUG:
-        logging.info(
-            f"Is Relevant -> Sentence: {sentence}, Question: {question} -> Relevancy: {answer}"
-        )
-    return answer
+    # Return only the sentences where is_relevant returned True
+    return [sentence for sentence, relevant in zip(sentences, relevant) if relevant]


-def filter_irrelevant(sentences: list[str], question: str) -> list[str]:
-    # Create a list to store the relevant sentences
-    relevant_sentences = []
-    for sentence in sentences:
-        if is_answer(sentence, question):
-            relevant_sentences.append(sentence)
-            print(sentence)
-    if config.CONF_DEBUG:
-        logging.info(f"Relevant Sentences: {relevant_sentences}")
-    return relevant_sentences
-
-
-# # Test the is_answer function
-# sentence = "Neil Armstrong was the first person to walk on the Moon."
-# question = "Who was the first person to walk on the Moon?"
-# if is_answer(sentence, question):
-#     print("The sentence answers the question.")
-# else:
-#     print("The sentence does not answer the question.")
-
-# from concurrent.futures import ThreadPoolExecutor
-# import concurrent.futures
-
-"""
-print(
-    filter_irrelevant(
-        [
-            "Neil Armstrong is an American Astronaut",
-            "Neil Armstrong is dead",
-            "Neil Armstrng is fake",
-        ],
-        "Who is Neil Armstrong?",
-    )
-)
-"""
+# # Example usage
+# context = ["The quick brown fox jumps over the lazy dog.", "The slow green snake slithers under the rock."]
+# question = "quick brown fox"
+# relevant_context = filter_relevant_context(context, question)
+# print(relevant_context)  # Output: ["The quick brown fox jumps over the lazy dog."]
--- a/poetry.lock
+++ b/poetry.lock
@ -167,23 +167,36 @@ files = [

 [[package]]
 name = "astroid"
-version = "2.12.13"
+version = "2.13.2"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 files = [
-    {file = "astroid-2.12.13-py3-none-any.whl", hash = "sha256:10e0ad5f7b79c435179d0d0f0df69998c4eef4597534aae44910db060baeb907"},
-    {file = "astroid-2.12.13.tar.gz", hash = "sha256:1493fe8bd3dfd73dc35bd53c9d5b6e49ead98497c47b2307662556a5692d29d7"},
+    {file = "astroid-2.13.2-py3-none-any.whl", hash = "sha256:8f6a8d40c4ad161d6fc419545ae4b2f275ed86d1c989c97825772120842ee0d2"},
+    {file = "astroid-2.13.2.tar.gz", hash = "sha256:3bc7834720e1a24ca797fd785d77efb14f7a28ee8e635ef040b6e2d80ccb3303"},
 ]

 [package.dependencies]
 lazy-object-proxy = ">=1.4.0"
+typing-extensions = ">=4.0.0"
 wrapt = [
    {version = ">=1.11,<2", markers = "python_version < \"3.11\""},
    {version = ">=1.14,<2", markers = "python_version >= \"3.11\""},
 ]

+[[package]]
+name = "async-generator"
+version = "1.10"
+description = "Async generators and context managers for Python 3.5+"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
+    {file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
+]
+
 [[package]]
 name = "async-timeout"
 version = "4.0.2"
@ -357,6 +370,83 @@ files = [
    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]

+[[package]]
+name = "cffi"
+version = "1.15.1"
+description = "Foreign Function Interface for Python calling C code."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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 description = "Backport of PEP 654 (exception groups)"
-category = "dev"
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 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
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+[[package]]
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+
+[package.dependencies]
+selenium = ">=4.7.2"
+tls-client = ">=0.1.7"
+undetected-chromedriver = ">=3.1.7"
+
+[package.extras]
+api = ["flask"]
+
 [[package]]
 name = "rich"
 version = "10.16.2"
@ -2624,6 +2827,24 @@ dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
 doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
 test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]

+[[package]]
+name = "selenium"
+version = "4.7.2"
+description = ""
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "selenium-4.7.2-py3-none-any.whl", hash = "sha256:06a1c7d9f313130b21c3218ddd8852070d0e7419afdd31f96160cd576555a5ce"},
+    {file = "selenium-4.7.2.tar.gz", hash = "sha256:3aefa14a28a42e520550c1cd0f29cf1d566328186ea63aa9a3e01fb265b5894d"},
+]
+
+[package.dependencies]
+certifi = ">=2021.10.8"
+trio = ">=0.17,<1.0"
+trio-websocket = ">=0.9,<1.0"
+urllib3 = {version = ">=1.26,<2.0", extras = ["socks"]}
+
 [[package]]
 name = "setuptools"
 version = "65.6.3"
@ -2643,14 +2864,14 @@ testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (

 [[package]]
 name = "shellingham"
-version = "1.5.0"
+version = "1.5.0.post1"
 description = "Tool to Detect Surrounding Shell"
 category = "main"
 optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.7"
 files = [
-    {file = "shellingham-1.5.0-py2.py3-none-any.whl", hash = "sha256:a8f02ba61b69baaa13facdba62908ca8690a94b8119b69f5ec5873ea85f7391b"},
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+    {file = "shellingham-1.5.0.post1-py2.py3-none-any.whl", hash = "sha256:368bf8c00754fd4f55afb7bbb86e272df77e4dc76ac29dbcbb81a59e9fc15744"},
+    {file = "shellingham-1.5.0.post1.tar.gz", hash = "sha256:823bc5fb5c34d60f285b624e7264f4dda254bc803a3774a147bf99c0e3004a28"},
 ]

 [[package]]
@ -2699,6 +2920,18 @@ files = [
    {file = "smmap-5.0.0.tar.gz", hash = "sha256:c840e62059cd3be204b0c9c9f74be2c09d5648eddd4580d9314c3ecde0b30936"},
 ]

+[[package]]
+name = "sniffio"
+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
+    {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
+]
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@ -2711,6 +2944,18 @@ files = [
    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
 ]

+[[package]]
+name = "sortedcontainers"
+version = "2.4.0"
+description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
+    {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
+]
+
 [[package]]
 name = "soupsieve"
 version = "2.3.2.post1"
@ -3012,6 +3257,18 @@ pyyaml = "*"
 torch = ">=1.7"
 torchvision = "*"

+[[package]]
+name = "tls-client"
+version = "0.1.8"
+description = "Advanced Python HTTP Client."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "tls_client-0.1.8-py3-none-any.whl", hash = "sha256:3c0022997b2ca4e9d7907ac2a2265dae65961f497cc69702784a15f736178311"},
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+]
+
 [[package]]
 name = "tokenize-rt"
 version = "5.0.0"
@ -3244,6 +3501,45 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]

+[[package]]
+name = "trio"
+version = "0.22.0"
+description = "A friendly Python library for async concurrency and I/O"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "trio-0.22.0.tar.gz", hash = "sha256:ce68f1c5400a47b137c5a4de72c7c901bd4e7a24fbdebfe9b41de8c6c04eaacf"},
+]
+
+[package.dependencies]
+async-generator = ">=1.9"
+attrs = ">=19.2.0"
+cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
+exceptiongroup = {version = ">=1.0.0rc9", markers = "python_version < \"3.11\""}
+idna = "*"
+outcome = "*"
+sniffio = "*"
+sortedcontainers = "*"
+
+[[package]]
+name = "trio-websocket"
+version = "0.9.2"
+description = "WebSocket library for Trio"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[package.dependencies]
+async-generator = ">=1.10"
+trio = ">=0.11"
+wsproto = ">=0.14"
+
 [[package]]
 name = "typer"
 version = "0.4.2"
@ -3306,16 +3602,32 @@ files = [
    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]

+[[package]]
+name = "undetected-chromedriver"
+version = "3.2.1"
+description = "('Selenium.webdriver.Chrome replacement with compatiblity for Brave, and other Chromium based browsers.', 'Not triggered by CloudFlare/Imperva/hCaptcha and such.', 'NOTE: results may vary due to many factors. No guarantees are given, except for ongoing efforts in understanding detection algorithms.')"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+requests = "*"
+selenium = ">=4.0.0"
+websockets = "*"
+
 [[package]]
 name = "uritools"
-version = "4.0.0"
+version = "4.0.1"
 description = "URI parsing, classification and composition"
 category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
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+    {file = "uritools-4.0.1-py3-none-any.whl", hash = "sha256:d122d394ed6e6e15ac0fddba6a5b19e9fa204e7797507815cbfb0e1455ac0475"},
+    {file = "uritools-4.0.1.tar.gz", hash = "sha256:efc5c3a6de05404850685a8d3f34da8476b56aa3516fbf8eff5c8704c7a2826f"},
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 [[package]]
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 ]

+[package.dependencies]
+PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
+
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
 secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
@ -3427,6 +3742,85 @@ files = [
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]

+[[package]]
+name = "websockets"
+version = "10.4"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "websockets-10.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:84bc2a7d075f32f6ed98652db3a680a17a4edb21ca7f80fe42e38753a58ee02b"},
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+    {file = "websockets-10.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:82ff5e1cae4e855147fd57a2863376ed7454134c2bf49ec604dfe71e446e2193"},
+    {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d210abe51b5da0ffdbf7b43eed0cfdff8a55a1ab17abbec4301c9ff077dd0342"},
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+    {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b27d6c1c6cd53dc93614967e9ce00ae7f864a2d9f99fe5ed86706e1ecbf485"},
+    {file = "websockets-10.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:3d3cac3e32b2c8414f4f87c1b2ab686fa6284a980ba283617404377cd448f631"},
+    {file = "websockets-10.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:da39dd03d130162deb63da51f6e66ed73032ae62e74aaccc4236e30edccddbb0"},
+    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389f8dbb5c489e305fb113ca1b6bdcdaa130923f77485db5b189de343a179393"},
+    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09a1814bb15eff7069e51fed0826df0bc0702652b5cb8f87697d469d79c23576"},
+    {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"},
+    {file = "websockets-10.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b343f521b047493dc4022dd338fc6db9d9282658862756b4f6fd0e996c1380e1"},
+    {file = "websockets-10.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:932af322458da7e4e35df32f050389e13d3d96b09d274b22a7aa1808f292fee4"},
+    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a4162139374a49eb18ef5b2f4da1dd95c994588f5033d64e0bbfda4b6b6fcf"},
+    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c57e4c1349fbe0e446c9fa7b19ed2f8a4417233b6984277cce392819123142d3"},
+    {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b627c266f295de9dea86bd1112ed3d5fafb69a348af30a2422e16590a8ecba13"},
+    {file = "websockets-10.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:05a7233089f8bd355e8cbe127c2e8ca0b4ea55467861906b80d2ebc7db4d6b72"},
+    {file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"},
+]
+
 [[package]]
 name = "wheel"
 version = "0.38.4"
@ -3516,6 +3910,21 @@ files = [
    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]

+[[package]]
+name = "wsproto"
+version = "1.2.0"
+description = "WebSockets state-machine based protocol implementation"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
+    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
+]
+
+[package.dependencies]
+h11 = ">=0.9.0,<1"
+
 [[package]]
 name = "xxhash"
 version = "3.2.0"
@ -3731,4 +4140,4 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "c9dff93b24ef36e3d334731d34e80372b2c3b2c4f19b12d8bee10772e079217d"
+content-hash = "d5757348a31dce3db191455bfba230c11859b968d8bfe76c44ec825e3c1d7738"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"

 [tool.poetry]
 name = "internet-ml"
-version = "2.0.0"
+version = "2.0.2"
 description = "Internet-ML: Allowing ML to connect to the internet"
 readme = "./.github/README.md"
 authors = ["Thamognya Kodi <contact@thamognya.com>"]
@ -53,6 +53,8 @@ spacy = "^3.4.4"
 nltk = "^3.8"
 beautifulsoup4 = "^4.11.1"
 diffusers = "^0.11.1"
+openai = "^0.26.0"
+revchatgpt = "^0.1.1"

 [tool.poetry.group.dev.dependencies]
 bandit = "^1.7.4"
--- a/requirements.txt
+++ b/requirements.txt
@ -31,16 +31,17 @@ markupsafe==2.1.1 ; python_version >= "3.10" and python_version < "4.0"
 multidict==6.0.4 ; python_version >= "3.10" and python_version < "4.0"
 multiprocess==0.70.14 ; python_version >= "3.10" and python_version < "4.0"
 murmurhash==1.0.9 ; python_version >= "3.10" and python_version < "4.0"
-nltk==3.8 ; python_version >= "3.10" and python_version < "4.0"
+nltk==3.8.1 ; python_version >= "3.10" and python_version < "4.0"
 numpy==1.24.1 ; python_version < "4.0" and python_version >= "3.10"
 nvidia-cublas-cu11==11.10.3.66 ; python_version >= "3.10" and python_version < "4.0" and platform_system == "Linux"
 nvidia-cuda-nvrtc-cu11==11.7.99 ; python_version >= "3.10" and python_version < "4.0" and platform_system == "Linux"
 nvidia-cuda-runtime-cu11==11.7.99 ; python_version >= "3.10" and python_version < "4.0" and platform_system == "Linux"
 nvidia-cudnn-cu11==8.5.0.96 ; python_version >= "3.10" and python_version < "4.0" and platform_system == "Linux"
+openai==0.26.0 ; python_version >= "3.10" and python_version < "4.0"
 packaging==21.3 ; python_version >= "3.10" and python_version < "4.0"
 pandas==1.5.2 ; python_version >= "3.10" and python_version < "4.0"
 pathy==0.10.1 ; python_version >= "3.10" and python_version < "4.0"
-pillow==9.3.0 ; python_version >= "3.10" and python_version < "4.0"
+pillow==9.4.0 ; python_version >= "3.10" and python_version < "4.0"
 platformdirs==2.6.2 ; python_version >= "3.10" and python_version < "4.0"
 preshed==3.0.8 ; python_version >= "3.10" and python_version < "4.0"
 psutil==5.9.4 ; python_version >= "3.10" and python_version < "4.0"
@ -60,7 +61,7 @@ rich==10.16.2 ; python_version >= "3.10" and python_version < "4.0"
 scikit-learn==1.2.0 ; python_version >= "3.10" and python_version < "4.0"
 scipy==1.9.3 ; python_version >= "3.10" and python_version < "4.0"
 setuptools==65.6.3 ; python_version >= "3.10" and python_version < "4.0"
-shellingham==1.5.0 ; python_version >= "3.10" and python_version < "4.0"
+shellingham==1.5.0.post1 ; python_version >= "3.10" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.10" and python_version < "4.0"
 smart-open==6.3.0 ; python_version >= "3.10" and python_version < "4.0"
 soupsieve==2.3.2.post1 ; python_version >= "3.10" and python_version < "4.0"
@ -82,7 +83,7 @@ typer[all]==0.4.2 ; python_version >= "3.10" and python_version < "4.0"
 types-requests==2.28.11.7 ; python_version >= "3.10" and python_version < "4.0"
 types-urllib3==1.26.25.4 ; python_version >= "3.10" and python_version < "4.0"
 typing-extensions==4.4.0 ; python_version >= "3.10" and python_version < "4.0"
-uritools==4.0.0 ; python_version >= "3.10" and python_version < "4.0"
+uritools==4.0.1 ; python_version >= "3.10" and python_version < "4.0"
 urlextract==1.8.0 ; python_version >= "3.10" and python_version < "4.0"
 urllib3==1.26.13 ; python_version >= "3.10" and python_version < "4"
 wasabi==0.10.1 ; python_version >= "3.10" and python_version < "4.0"
--- a/web/backend/api/nlp/nocontext/templates/rest_framework/api.html
+++ b/web/backend/api/nlp/nocontext/templates/rest_framework/api.html
@ -4,6 +4,7 @@
    href="https://bootswatch.com/5/flatly/bootstrap.css"
    type="text/css"
 />
-{% endblock %} {% block bootstrap_navbar_variant %}{% endblock %} {% block branding %}
+{% endblock %} {% block bootstrap_navbar_variant %}{% endblock %} {% block
+branding %}
 <h2><a href="">Internet-ML's NLP Question Answering</a></h2>
 {% endblock %}
--- a/web/backend/api/nlp/nocontext/views.py
+++ b/web/backend/api/nlp/nocontext/views.py
@ -37,8 +37,9 @@ class QAView(APIView):
        """
        answer = internet_ml.NLP.no_context.QA.answer(
            str(request.data["question"]),
-            str(os.environ.get("INTERNET_ML_GOOGLE_API")),
-            str(os.environ.get("INTERNET_ML_GOOGLE_SEARCH_ENGINE_ID")),
+            str(os.environ.get("GOOGLE_SEARCH_API_KEY")),
+            str(os.environ.get("GOOGLE_SEARCH_ENGINE_ID")),
+            str(os.environ.get("OPENAI_API_KEY")),
        )
        content = {
            "error": "",
--- a/web/backend/poetry.lock
+++ b/web/backend/poetry.lock
@ -789,14 +789,14 @@ testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packag

 [[package]]
 name = "internet-ml"
-version = "2.0.0"
+version = "2.0.1"
 description = "Internet-ML: Allowing ML to connect to the internet"
 category = "main"
 optional = false
 python-versions = ">=3.10,<4.0"
 files = [
-    {file = "internet_ml-2.0.0-py3-none-any.whl", hash = "sha256:4ee61fbe476a75194bfdd7f1a95b1e29f16d958e9e8a51074566a41a916a86a4"},
-    {file = "internet_ml-2.0.0.tar.gz", hash = "sha256:619b10cd7e00b0068c6217a2fc5b1c80f7a57a2a56190d65483a895b4042df5b"},
+    {file = "internet_ml-2.0.1-py3-none-any.whl", hash = "sha256:5cf68675a597e1bc30ae4efd2eb4932af95f140d565af2c23407fa5e022915af"},
+    {file = "internet_ml-2.0.1.tar.gz", hash = "sha256:51c0c8e77d2e392eb8cb0c9942084d7bf197235a1e8520650bd3a29a9d0f0831"},
 ]

 [package.dependencies]
@ -807,6 +807,7 @@ datasets = ">=2.8.0,<3.0.0"
 diffusers = ">=0.11.1,<0.12.0"
 nltk = ">=3.8,<4.0"
 numpy = ">=1.24.0,<2.0.0"
+openai = ">=0.26.0,<0.27.0"
 pandas = ">=1.5.2,<2.0.0"
 python-dotenv = ">=0.21.0,<0.22.0"
 requests = ">=2.28.1,<3.0.0"
@ -1258,6 +1259,28 @@ files = [
 setuptools = "*"
 wheel = "*"

+[[package]]
+name = "openai"
+version = "0.26.0"
+description = "Python client library for the OpenAI API"
+category = "main"
+optional = false
+python-versions = ">=3.7.1"
+files = [
+    {file = "openai-0.26.0.tar.gz", hash = "sha256:e5e8ef9a232be844ae9b2b443389ef4189ce56af70bfe4bee77fbaba4bbd504b"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+requests = ">=2.20"
+tqdm = "*"
+
+[package.extras]
+datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"]
+embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "sklearn", "tenacity (>=8.0.1)"]
+wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"]
+
 [[package]]
 name = "packaging"
 version = "22.0"
--- a/web/frontend/components/LoadingWheel.vue
+++ b/web/frontend/components/LoadingWheel.vue
@ -1,5 +1,5 @@
 <template lang="pug">
-div(class="lds-ring")
+.lds-ring
    div
    div
    div
--- a/web/frontend/components/NavBar.vue
+++ b/web/frontend/components/NavBar.vue
@ -2,5 +2,4 @@
 // const mobileOpen = useState('mobileOpen', () => false)
 </script>

-<template lang="pug">
-</template>
+<template lang="pug"></template>
--- a/web/frontend/pages/NLP/no-context/question-answering.vue
+++ b/web/frontend/pages/NLP/no-context/question-answering.vue
@ -1,117 +1 @@
-<template lang="pug">
-div(v-if="loading")
-    .flex.items-center.justify-center.h-screen(v-if="loading")
-        LoadingWheel
-div(v-else)
-    .grid.grid-cols-1.place-content-center.align-middle.gap-y-5.h-screen.text-center
-        .grid.grid-cols-1.place-self-center
-            h1.text-5xl
-                a.url(href="/NLP") Internet-NLP
-            h1.text-2xl
-                a.url(href="/NLP/no-context/question-answering") Question Answering No Context
-            h1.text-2xl
-                a.url(href="/") Part of Internet-ML
-        .container.mx-auto
-            form(v-if="!loading", @submit.prevent="submitForm")
-                label.block.font-bold.text-lg.mb-2(for="question") Question
-                textarea#question.border.rounded.w-full.py-2.px-3(
-                    v-model="form.question",
-                    rows="5"
-                )
-                button.bg-gray-500.text-white.font-bold.py-2.px-4.rounded(
-                    class="hover:bg-gray-700",
-                    type="submit",
-                    v-if="form.submitCounter < 600"
-                )
-                    | Submit
-                p.bg-red-500(v-if="form.submitCounter >= 600") Please wait for sometime as you have made 600 requests   within one hour.
-            .mt-4.font-bold(v-if="answer !== null")
-                p Question: {{ tmpquestion }}
-                p.typed-text Answer: {{ typedAnswer }}
-                p Urls:
-                ul(v-if="typedAnswer.length === answer.length && urls !== null")
-                    li(v-for="url in urls", :key="url")
-                        span - 
-                        a.url(:href="url") {{ url }}
-</template>
-
-<script>
-import LoadingWheel from '@/components/LoadingWheel.vue'
-
-export default {
-    components: { LoadingWheel },
-    data() {
-        return {
-            form: {
-                question: '',
-                submitCounter: 0
-            },
-            answer: null,
-            loading: false,
-            typedAnswer: '',
-            urls: null
-        }
-    },
-    created() {
-        setInterval(() => {
-            this.form.submitCounter = 0
-        }, 3600000)
-    },
-    methods: {
-        resetForm() {
-            this.form.question = ''
-            this.answer = null
-            this.loading = false
-            this.typedAnswer = ''
-            this.urls = null
-        },
-        async submitForm() {
-            this.form.submitCounter++
-            this.loading = true
-            try {
-                const { data } = await this.$axios.post(
-                    'https://internet-ml-backend.paas.thamognya.com/api/nlp/no-context/question-answering/',
-                    {
-                        question: this.form.question
-                    }
-                )
-                this.tmpquestion = this.form.question
-                this.resetForm()
-                this.answer = data.response.answer
-                const typingInterval = setInterval(() => {
-                    this.typedAnswer +=
-                        this.answer[this.typedAnswer.length] || ''
-                    if (this.typedAnswer.length === this.answer.length) {
-                        clearInterval(typingInterval)
-                    }
-                }, 150)
-                this.urls = data.resources
-            } catch (error) {
-                // console.error(error)
-            }
-        }
-    }
-}
-</script>
-
-<style lang="scss">
-.typed-text {
-    position: relative;
-    display: inline;
-}
-
-.typed-text::after {
-    content: '|';
-    animation: blink 0.7s infinite;
-}
-
-@keyframes blink {
-    0% {
-        opacity: 1;
-    }
-
-    100% {
-        opacity: 0;
-    }
-}
-</style>
+<!-- TODO: Accutally finish this -->
--- a/web/run.sh
+++ b/web/run.sh
@ -1,3 +1,3 @@
 #!/bin/sh

-concurrently "cd backend && ./manage.py runserver localhost:8080" "cd frontend && yarn build && yarn start"
+concurrently "cd backend && ./manage.py runserver 0.0.0.0:8080" "cd frontend && yarn build && yarn start"