Update app.py

app.py

@@ -9,11 +9,11 @@ model = pipeline(model='google/flan-t5-base')
 def chatbot(input_text):
 
     prompt = f"Give the answer of the given input in context from the bhagwat geeta. give suggestions to user which are based upon the meanings of shlok in bhagwat geeta, input = {input_text}"
-  # Generate a response from the Hugging Face model
-  response = model(prompt, max_length=250, do_sample=True)[0]['generated_text'].strip()
+    # Generate a response from the Hugging Face model
+    response = model(prompt, max_length=250, do_sample=True)[0]['generated_text'].strip()
   
-  # Return the bot response
-  return response
+    # Return the bot response
+    return response
 
 # Define the Gradio interface
 gradio_interface = gradio.Interface(