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| import logging | |
| import os | |
| from flask import Flask, render_template, request, jsonify | |
| from flask_cors import CORS | |
| import DocumentQA | |
| # Initialize Flask app and CORS | |
| app = Flask(__name__) | |
| cors = CORS(app, resources={r"/*": {"origins": "*"}}) | |
| app.logger.setLevel(logging.ERROR) | |
| qa_system = DocumentQA.DocumentQA() | |
| # Define the route for the index page | |
| def index(): | |
| return render_template('index.html') # Render the index.html template | |
| # Define the route for processing messages | |
| def process_message_route(): | |
| user_message = request.json['userMessage'] # Extract the user's message from the request | |
| print('user_message', user_message) | |
| bot_response = qa_system.query(user_message) # Process the user's message using the worker module | |
| # Return the bot's response as JSON | |
| return jsonify({ | |
| "botResponse": bot_response | |
| }), 200 | |
| # Define the route for processing documents | |
| def process_document_route(): | |
| # Check if a file was uploaded | |
| if 'file' not in request.files: | |
| return jsonify({ | |
| "botResponse": "It seems like the file was not uploaded correctly, can you try " | |
| "again. If the problem persists, try using a different file" | |
| }), 400 | |
| file = request.files['file'] # Extract the uploaded file from the request | |
| file_path = file.filename # Define the path where the file will be saved | |
| file.save(file_path) # Save the file | |
| qa_system.process_document(file_path) # Process the document using the worker module | |
| # Return a success message as JSON | |
| return jsonify({ | |
| "botResponse": "Thank you for providing your PDF document. I have analyzed it, so now you can ask me any " | |
| "questions regarding it!" | |
| }), 200 | |
| # Run the Flask app | |
| if __name__ == "__main__": | |
| app.run(debug=True, port=7860, host='0.0.0.0') | |