Update app.py

app.py

@@ -1,3 +1,4 @@
+import requests
 from flask import Flask, request
 from twilio.twiml.messaging_response import MessagingResponse
 from twilio.rest import Client
@@ -27,6 +28,8 @@ def classify_disease(image):
     # Implement disease classification model here
     return "Detected Disease: [Disease Name]"
 
+
+
 @app.route('/whatsapp', methods=['POST'])
 def whatsapp_webhook():
     incoming_msg = request.values.get('Body', '').lower()
@@ -41,15 +44,18 @@ def whatsapp_webhook():
         
         if content_type.startswith('image/'):
             # Download and process the image
-            image_data = client.request(media_url)
-            image = Image.open(io.BytesIO(image_data.content))
-            
-            if 'pest' in incoming_msg:
-                response_text = classify_pest(image)
-            elif 'disease' in incoming_msg:
-                response_text = classify_disease(image)
+            response = requests.get(media_url)
+            if response.status_code == 200:
+                image = Image.open(io.BytesIO(response.content))
+                
+                if 'pest' in incoming_msg:
+                    response_text = classify_pest(image)
+                elif 'disease' in incoming_msg:
+                    response_text = classify_disease(image)
+                else:
+                    response_text = "Please specify if you want to detect a pest or a disease."
             else:
-                response_text = "Please specify if you want to detect a pest or a disease."
+                response_text = "Failed to download the image. Please try again."
         else:
             response_text = "The attached file is not an image. Please send an image for classification."
     elif 'bookkeeping' in incoming_msg:
@@ -58,7 +64,7 @@ def whatsapp_webhook():
         response_text = get_agricultural_insights(incoming_msg)
     
     send_message(sender, response_text)
-    return '', 204  # Return an empty response to Twilio
+    return '', 204
 
 def get_agricultural_insights(query):
     # Implement your agricultural insights logic here