app.py

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
app = Flask(__name__)
UPLOAD_FOLDER = '/code/uploads'
if not os.path.exists(UPLOAD_FOLDER):
    os.makedirs(UPLOAD_FOLDER)
    
conversation_memory = ConversationBufferMemory()

# 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 'bookkeeping' in incoming_msg:
        response_text = "Please provide the details you'd like to record."
    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? You can send an image with "pest" or "disease" to classify it.'
    )

if __name__ == '__main__':
    send_initial_message('916382792828')
    app.run(host='0.0.0.0',  port=7860)