diff --git a/internet_ml/NLP/no_context/QA.py b/internet_ml/NLP/no_context/QA.py index 8f2823e..c884a54 100644 --- a/internet_ml/NLP/no_context/QA.py +++ b/internet_ml/NLP/no_context/QA.py @@ -66,19 +66,18 @@ def answer( conversation_id=CHATGPT_CONVERSATION_ID, parent_id=CHATGPT_PARENT_ID, ) - prompt = f"Utilize the following context: {' '.join(filter(lambda x: isinstance(x, str), results[0]))[:10000]} and answer the question only with the given context: {query}" + prompt = f"Utilize the following context: {' '.join(filter(lambda x: isinstance(x, str), results[0]))[:4000]} and answer the question only with the given context: {query}" response = chatbot.ask( prompt=prompt, conversation_id=CHATGPT_CONVERSATION_ID, parent_id=CHATGPT_PARENT_ID, ) - print(response) return (response["message"], results[1]) else: if model == "openai-text-davinci-003": results: tuple[list[str], list[str]] = internet.Google( query, GOOGLE_SEARCH_API_KEY, GOOGLE_SEARCH_ENGINE_ID - ).google(filter_irrelevant=True) + ).google(filter_irrelevant=False) context = " ".join(results[0]) context[: (4097 - len(query) - 10)] response = openai.Completion.create( @@ -102,5 +101,10 @@ def answer( # print(os.environ) -print(answer(query="What is the latest Pokemon Game in 2022?", model="openai-chatgpt")) +print( + answer( + query="What is Club is Crisitano Ronaldo in 2023?", + model="openai-text-davinci-003", + ) +) # def custom_answer diff --git a/internet_ml/tools/NLP/data/adremover.py b/internet_ml/tools/NLP/data/adremover.py new file mode 100644 index 0000000..5cc8e3e --- /dev/null +++ b/internet_ml/tools/NLP/data/adremover.py @@ -0,0 +1,35 @@ +from typing import List + +from concurrent.futures import ThreadPoolExecutor, as_completed + +import requests + + +class AdRemover: + def __init__(self, rules: list[str]): + self.rules = set() + with ThreadPoolExecutor(max_workers=500) as executor: + future_to_rule = { + executor.submit(requests.get, rule): rule for rule in rules + } + for future in as_completed(future_to_rule): + rule = future_to_rule[future] + try: + response = future.result() + self.rules.update(response.text.splitlines()) + except Exception as e: + print(f"{rule} generated an exception: {e}") + + def remove_ads(self, html: str) -> str: + """Remove ads from the HTML based on the ad block rules""" + with ThreadPoolExecutor(max_workers=500) as executor: + future_to_rule = { + executor.submit(html.replace, rule, ""): rule for rule in self.rules + } + for future in as_completed(future_to_rule): + rule = future_to_rule[future] + try: + html = future.result() + except Exception as e: + print(f"{rule} generated an exception: {e}") + return html diff --git a/internet_ml/tools/NLP/data/internet.py b/internet_ml/tools/NLP/data/internet.py index ae928c7..0df7c06 100644 --- a/internet_ml/tools/NLP/data/internet.py +++ b/internet_ml/tools/NLP/data/internet.py @@ -24,6 +24,7 @@ import re import aiohttp import config +from adremover import AdRemover from bs4 import BeautifulSoup from keywords import get_keywords from normalize import normalizer @@ -59,6 +60,11 @@ class Google: ) ) self.__content: list[str] = [] + ADBLOCK_RULES = [ + "https://easylist-downloads.adblockplus.org/ruadlist+easylist.txt", + "https://filters.adtidy.org/extension/chromium/filters/1.txt", + ] + self.__ad_remover = AdRemover(ADBLOCK_RULES) def __get_urls(self: "Google") -> None: # Send the request to the Google Search API @@ -84,6 +90,7 @@ class Google: try: async with session.get(url, headers=HTTP_USERAGENT) as response: html = await response.text() + html = self.__ad_remover.remove_ads(html) soup = BeautifulSoup(html, "html.parser") text = soup.get_text() normalized_text = normalizer(text) diff --git a/poetry.lock b/poetry.lock index e2681d1..5da9493 100644 --- a/poetry.lock +++ b/poetry.lock @@ -628,6 +628,18 @@ files = [ [package.dependencies] coverage = "*" +[[package]] +name = "cssselect" +version = "1.2.0" +description = "cssselect parses CSS3 Selectors and 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