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

app = Flask(__name__)
UPLOAD_FOLDER = 'uploads'
if not os.path.exists(UPLOAD_FOLDER):
    os.makedirs(UPLOAD_FOLDER)
from inference_sdk import InferenceHTTPClient
def predict_disease(filepath):    
    CLIENT = InferenceHTTPClient(
        api_url="https://classify.roboflow.com",
        api_key="oF1aC4b1FBCDtK8CoKx7"
    )
    
    result = CLIENT.infer(filepath, model_id="plant-disease-detection-iefbi/1")
    return result['predicted_classes'][0]

def predict_pest(filepath):
    CLIENT = InferenceHTTPClient(
    api_url="https://detect.roboflow.com",
    api_key="oF1aC4b1FBCDtK8CoKx7")
    
    result = CLIENT.infer(filepath, model_id="pest-detection-ueoco/1")
    return result['predicted_classes'][0]

# 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'

# Placeholder functions for image classification
def classify_pest(image_path):
    # Implement pest classification model here
    return f"Detected Pest: [Pest Name] for image at {image_path}"

def classify_disease(image_path):
    # Implement disease classification model here
    return f"Detected Disease: [Disease Name] for image at {image_path}"
@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))

    if num_media > 0:
        media_url = request.values.get('MediaUrl0')
        content_type = request.values.get('MediaContentType0')

        if content_type.startswith('image/'):
            r = requests.get(media_url)
            
            # Generate a unique filename
            filename = f"{uuid.uuid4()}.jpg"
            filepath = os.path.join(UPLOAD_FOLDER, filename)
            try:
                
                
                
                
                
                if ('pest' in incoming_msg) or ('Pest' in incoming_msg):
                    response_text = predict_pest(filepath)
                elif ('disease' in incoming_msg) or ('Disease' in incoming_msg):
                    response_text = predict_disease(filepath)
                else:
                    response_text = "Please specify if you want to detect a pest or a disease."
            except Exception as e:
                print(f"Error processing image: {e}")
                response_text = 'Invalid image'
        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:
        response_text = get_agricultural_insights(incoming_msg)
    
    send_message(sender, response_text)
    return '', 204  # Return an empty response to Twilio

def get_agricultural_insights(query):
    # Implement your agricultural insights logic here
    return f"Insights related to: {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)