edited seamless_client name

app.py

@@ -222,14 +222,18 @@ def convert_to_markdown(vectara_response_json):
 
 def process_and_query(text=None, image=None, audio=None):
     try:
+        # augment the prompt before feeding it to vectara
+        text = "the user asks the following to his health adviser " + text
         # If an image is provided, process it with OpenAI and use the response as the text query for Vectara
         if image is not None:
             text = process_image(image)
+            return text
         if audio is not None:
             text = process_speech(audio)
+            # augment the prompt before feeding it to vectara
+            text = "the user asks the following to his health adviser " + text
             
-        # augment the prompt before feeding it to vectara
-        text = "the user asks the following to his health adviser " + text
+
         # Now, use the text (either provided by the user or obtained from OpenAI) to query Vectara
         vectara_response_json = query_vectara(text)
         markdown_output = convert_to_markdown(vectara_response_json)