Update app.py

app.py

@@ -130,7 +130,7 @@ agent = initialize_agent(
 def encode_image_to_base64(image_path):
     return pytesseract.image_to_string(Image.open(image_path))
 def chatbot_response(m,query):
-    
+    k=query['text']
     if query.get('files'):
         # Encode image to base64
         image_data=""
@@ -144,12 +144,13 @@ def chatbot_response(m,query):
                
             ]
         )
+        k+=" System :Image(s) was added to this prompt by this user. Text Extracted from this image (Some words may be misspelled ,Use your understanding ):"+image_data
     else:
         # If no image, only pass the text
         message = HumanMessage(content=[{"type": "text", "text": query}])
 
     # Invoke the model with the multimodal message
-    result = agent.invoke(prompt.format(m,message))
+    result = agent.invoke(prompt.format(m,k))
     response = result['output']
     intermediate_steps = result.get('intermediate_steps', [])