130 lines
3.1 KiB
Python
130 lines
3.1 KiB
Python
import os
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from typing import Union
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import openai
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from dotenv import load_dotenv
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from flask import Flask, request
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from html5lib import HTMLParser
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from htmls import index_html, prompt_html_template
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load_dotenv()
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app = Flask(__name__)
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openai.api_key = os.getenv("OPENAI_KEY")
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def format_message(message: str) -> list:
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"""
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Formats the message to send to chatgpt
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Args:
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message: The message to send to chatgpt
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Returns:
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The formatted message in a list
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Raises:
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None
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"""
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return [
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{
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"role": "system",
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"content": (
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"You are a very knowledgeable person with random knowledge for everything the humanity has ever done"
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),
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},
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{"role": "user", "content": message},
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]
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def extract_html_from_chatgpt_response(returned_string: str) -> Union[str, None]:
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"""
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Extracts the HTML from the chatgpt response
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Args:
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returned_string: The string returned by chatgpt
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Returns:
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The HTML if it is valid, None otherwise
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Raises:
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None
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"""
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validator = HTMLParser(strict=True)
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try:
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validator.parse(returned_string)
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return returned_string
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except Exception:
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match = returned_string.split("<html>")
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if len(match) > 1:
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html = "<html>" + match[1]
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html_match = html.split("</html>")
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if len(html_match) > 1:
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html = html_match[0] + "</html>"
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try:
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validator.parse(html)
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return html
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except Exception:
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return None
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def get_chatgpt_response(message: str) -> str:
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"""
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Gets the response from chatgpt
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Args:
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message: The message to send to chatgpt
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Returns:
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The HTML response from chatgpt
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Raises:
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None
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"""
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try:
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=format_message(
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(
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f"Give me information about {message}. Now, given this HTML: \n {prompt_html_template} \n replace "
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"(topic) with the name of the selected topic and (topic_info) with 5 parragraphs talking about the "
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"topic. Replace (related_links) with 10 links related to the topic. For these links, the href "
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"should be '/infinite?topic=(slugified_related_topic_name)' and the text should be the name of the "
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"related topic. Respond only the converted code"
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)
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),
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)
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except openai.error.RateLimitError:
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return get_chatgpt_response(message)
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html = extract_html_from_chatgpt_response(completion.choices[0].message.content)
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if not html:
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return get_chatgpt_response(message)
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return html
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@app.route("/")
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def index():
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return index_html
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@app.route("/start")
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def start():
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return get_chatgpt_response("a random topic")
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@app.route("/infinite")
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def topic():
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topic = request.args.get("topic")
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return get_chatgpt_response(topic)
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if __name__ == "__main__":
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app.run()
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