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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from flask import Flask, request, jsonify
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from bs4 import BeautifulSoup
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import requests
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from textblob import TextBlob
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import openai
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import os
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import logging
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app = Flask(__name__)
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# Set up OpenAI API key
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openai.api_key = os.getenv('OPENAI_API_KEY')
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# Configure logging
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logging.basicConfig(level=logging.DEBUG)
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# Route to handle AI chat responses
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@app.route('/chat', methods=['POST'])
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def chat():
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logging.info('Received chat request')
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data = request.json
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logging.debug(f'Received data: {data}')
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prompt = data.get('prompt')
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if not prompt:
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logging.error('No prompt provided in the request')
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return jsonify({'error': 'No prompt provided'}), 400
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response = openai.Completion.create(
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engine="text-davinci-003",
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prompt=prompt,
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max_tokens=300
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)
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return jsonify(response.choices[0].text.strip())
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# Route to scrape content from teamparadise1165.com
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@app.route('/scrape', methods=['GET'])
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def scrape():
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logging.info('Received scrape request')
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url = 'https://teamparadise1165.com'
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response = requests.get(url)
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if response.status_code == 200:
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soup = BeautifulSoup(response.content, 'html.parser')
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content = soup.prettify()
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return content
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else:
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logging.error(f'Failed to retrieve content: {response.status_code}')
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return 'Failed to retrieve content', 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5000)
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