from flask import Flask, request from twilio.twiml.messaging_response import MessagingResponse from twilio.rest import Client import os import requests from PIL import Image import io import uuid import shutil from other_function import predict_pest,predict_disease,convert_img,generate_response,ConversationBufferMemory,get_weather,get_rates app = Flask(__name__) UPLOAD_FOLDER = '/code/uploads' if not os.path.exists(UPLOAD_FOLDER): os.makedirs(UPLOAD_FOLDER) conversation_memory = ConversationBufferMemory(max_size=6) # Initialize the Flask app account_sid = os.environ.get('TWILIO_ACCOUNT_SID') auth_token = os.environ.get('TWILIO_AUTH_TOKEN') client = Client(account_sid, auth_token) # WhatsApp number to send messages from (your Twilio number) from_whatsapp_number = 'whatsapp:+14155238886' @app.route('/whatsapp', methods=['POST']) @app.route('/whatsapp', methods=['POST']) def whatsapp_webhook(): incoming_msg = request.values.get('Body', '').lower() sender = request.values.get('From') # Check if an image is attached num_media = int(request.values.get('NumMedia', 0)) # Get the chat history chat_history = conversation_memory.get_memory() if num_media > 0: media_url = request.values.get('MediaUrl0') content_type = request.values.get('MediaContentType0') if content_type.startswith('image/'): filepath = convert_img(media_url, account_sid, auth_token) try: disease = predict_disease(filepath) except: disease = None try: pest = predict_pest(filepath) except: pest = None if disease: response_text = f"Detected disease: {disease}" # Generate additional insights about the disease disease_info = generate_response(f"Provide brief information about {disease} in plants", chat_history) response_text += f"\n\nAdditional information: {disease_info}" elif pest: response_text = f"Detected pest: {pest}" # Generate additional insights about the pest pest_info = generate_response(f"Provide brief information about {pest} in agriculture", chat_history) response_text += f"\n\nAdditional information: {pest_info}" else: response_text = "Please upload another image with good quality." else: response_text = "The attached file is not an image. Please send an image for classification." elif ('weather' in incoming_msg.lower()) or ('climate' in incoming_msg.lower()) or ('temperature' in incoming_msg.lower()): response_text=get_weather(incoming_msg.lower()) elif 'bookkeeping' in incoming_msg: response_text = "Please provide the details you'd like to record." elif ('rates' in incoming_msg.lower()) or ('price' in incoming_msg.lower()) or ('market' in incoming_msg.lower()) or ('rate' in incoming_msg.lower()) or ('prices' in incoming_msg.lower()): rate_data=get_rates() response_text=generate_response(incoming_msg+'data'+rate_data, chat_history) else: # Generate response considering the chat history response_text = generate_response(incoming_msg, chat_history) # Add the interaction to memory conversation_memory.add_to_memory({"user": incoming_msg, "assistant": response_text}) send_message(sender, response_text) return '', 204 def get_agricultural_insights(query): return generate_response(query) def send_message(to, body): try: message = client.messages.create( from_=from_whatsapp_number, body=body, to=to ) print(f"Message sent with SID: {message.sid}") except Exception as e: print(f"Error sending message: {e}") # Function to send an initial message def send_initial_message(to_number): send_message( f'whatsapp:{to_number}', 'Welcome to the Agri AI Chatbot! How can I assist you today?' ) if __name__ == '__main__': send_initial_message('916382792828') send_initial_message('919080522395') app.run(host='0.0.0.0', port=7860)