Update app.py

app.py

@@ -28,32 +28,31 @@ def classify_pest(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_sid = request.values.get('MediaSid0')
+        media_url = request.values.get('MediaUrl0')
         content_type = request.values.get('MediaContentType0')
         
         if content_type.startswith('image/'):
             try:
-                # Retrieve the media using Twilio client
-                media = client.messages.media(request.values.get('MessageSid')).list()[0]
-                
                 # Generate a unique filename
                 filename = f"{uuid.uuid4()}.jpg"
                 filepath = os.path.join(UPLOAD_FOLDER, filename)
                 
-                # Download and save the image
+                # Download and save the image using the media URL
+                response = requests.get(media_url)
+                image_data = response.content
+                
                 with open(filepath, 'wb') as f:
-                    f.write(media.fetch())
+                    f.write(image_data)
                 
+                # Call the appropriate classification function
                 if 'pest' in incoming_msg:
                     response_text = classify_pest(filepath)
                 elif 'disease' in incoming_msg: