219 lines
6.2 KiB
Python
219 lines
6.2 KiB
Python
import logging
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import os
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import random
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import re
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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, redirect, 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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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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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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logging.info(f"Valid HTML Found! {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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logging.info("No valid HTML found, trying to parse...")
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html = "<html>" + match[1]
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html_match = html.split("</html>")
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possible_html = html_match[0] + "</html>"
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if "(topic)" not in possible_html and "(slugified_related_topic_name)" not in possible_html:
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return possible_html
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def get_random_topic() -> str:
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"""
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Gets a random topic from chatgpt
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Args:
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None
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Returns:
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A random topic
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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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"Give me a random list of 10 topics to talk about in a comma separated list. Each topic should be less "
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"than 5 words long and should not contain commas. Be as creative as possible and choose topics from "
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"multiple genres and industries."
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),
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)
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topics = completion.choices[0].message.content.split(",")
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if len(topics) < 5:
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logging.info(f"The topics is too short: {topics}. Retrying...")
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return get_random_topic()
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logging.info(f"The topics list is: {topics}")
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topic = random.choice(topics)
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return topic.strip()
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except openai.error.RateLimitError:
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return get_random_topic()
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def generate_topic_image(topic: str) -> str:
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"""
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Generates an image for the topic
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Args:
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topic: The topic to generate an image for
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Returns:
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The URL of the image
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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(f"Generate a prompt for dall-e about {topic}"),
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)
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dalle_prompt = completion.choices[0].message.content
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logging.info(f"The Dall-E prompt is: {dalle_prompt}")
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image = openai.Image.create(prompt=dalle_prompt, n=1, size="256x256")
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return image["data"][0]["url"]
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except Exception:
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generate_topic_image(topic)
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def get_chatgpt_html_response(message: str, count: int = 0) -> 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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count: The number of times this function has been called
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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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count += 1
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if count >= 5:
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return f"Error! ChatGPT is having problems with this topic: {message}. Try a new one."
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logging.info(f"The topic to generate is {message}")
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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 5 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. The name of these topics should not be more than 5 words. Finally, replace "
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"(new_topics) with a 5 links with completely new and random topics to talk about. These links "
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"should follow the same rules as before. Do not replace (image_source). Respond only the 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_html_response(message, count)
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response = completion.choices[0].message.content
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html = extract_html_from_chatgpt_response(response)
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if not html:
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logging.info(f"No HTML was found. The response was {response}. Retrying...")
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return get_chatgpt_html_response(message, count)
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pattern = r'src="([^"]*)"'
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image = generate_topic_image(message)
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logging.info(f"The image is {image}")
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html_with_image = re.sub(pattern, f'src="{image}"', html)
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return html_with_image
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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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random_topic = get_random_topic()
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return get_chatgpt_html_response(random_topic)
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@app.route("/infinite")
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def topic():
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topic = request.args.get("topic", None)
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if not topic:
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return redirect("/start")
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unslugified_topic = topic.replace("-", " ").replace("_", " ").replace("%20", " ").replace("\n", " ")
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if len(unslugified_topic.split()) > 5:
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logging.info(f"The topic is too long: {unslugified_topic}")
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return "Error! Your topic should be < 5 words"
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return get_chatgpt_html_response(unslugified_topic)
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