Update chatbot.py

chatbot.py

@@ -202,7 +202,7 @@ def toggle_input_visibility(input_type):
 def cleanup_response(response):
     # Extract only the part after "Answer:" and remove any trailing spaces
     answer_start = response.find("Answer:")
-    if answer_start != -1:
+    if (answer_start != -1):
         response = response[answer_start + len("Answer:"):].strip()
     return response
 
@@ -214,22 +214,24 @@ def chatbot(audio, input_type, text):
             return "Error transcribing audio: " + transcription["error"], None
         query = transcription['text']
         condition, patient_id = extract_details_from_prompt(query)
+        patient_history = ""
         if condition and patient_id:
             patient_history = get_specific_patient_data(patient_data, condition, patient_id)
-            payload = {
-                "inputs": f"role: ophthalmologist assistant patient history: {patient_history} question: {query}"
-            }
-            response = query_huggingface(payload)
-            if isinstance(response, list):
-                raw_response = response[0].get("generated_text", "Sorry, I couldn't generate a response.")
-            else:
-                raw_response = response.get("generated_text", "Sorry, I couldn't generate a response.")
+        payload = {
+            "inputs": f"role: ophthalmologist assistant patient history: {patient_history} question: {query}"
+        }
+        response = query_huggingface(payload)
+        if isinstance(response, list):
+            raw_response = response[0].get("generated_text", "Sorry, I couldn't generate a response.")
+        else:
+            raw_response = response.get("generated_text", "Sorry, I couldn't generate a response.")
 
-            clean_response = cleanup_response(raw_response)
-            return clean_response, None
+        clean_response = cleanup_response(raw_response)
+        return clean_response, None
 
     elif input_type == "Text":
         condition, patient_id = extract_details_from_prompt(text)
+        patient_history = ""
         if condition and patient_id:
             patient_history = get_specific_patient_data(patient_data, condition, patient_id)
         payload = {