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import logging | |
import os | |
from flask import Flask, render_template, request, jsonify | |
from flask_cors import CORS | |
import worker_huggingface # Import the worker module | |
# Initialize Flask app and CORS | |
app = Flask(__name__) | |
cors = CORS(app, resources={r"/*": {"origins": "*"}}) | |
app.logger.setLevel(logging.ERROR) | |
# 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 = worker_huggingface.process_prompt(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 | |
worker_huggingface.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') | |