remove comments

app.py

@@ -33,7 +33,7 @@ def answer_question(history, temperature, top_p, repetition_penalty, top_k, ques
         "top_p": top_p,
         "repetition_penalty": repetition_penalty,
         "top_k": top_k,
-        "max_length": 512,  # Adjust based on your needs
+        "max_length": 512,
         "do_sample": True,
     }
     prompt = get_prompt(question)
@@ -42,7 +42,7 @@ def answer_question(history, temperature, top_p, repetition_penalty, top_k, ques
     divider = "\n\n" if history else ""
     print(answer)
     new_history = history + divider + f"USER: {question}\nASSISTANT: {answer}\n"
-    return new_history, ""  # Return updated history and clear the question input
+    return new_history, ""
 
 
 def send_action(_=None):
@@ -58,7 +58,6 @@ with gr.Blocks() as app:
             gr.Image(
                 value=logo_path,
             )
-            # write info about the model
             gr.Markdown(
                 "### Model Info\n"
                 "This model is a 150M paramater LLaMA2 model trained from scratch on Azerbaijani text. It can be used to generate text based on the given prompt. \n\nAlso note that this is very small model which can be scaled up in terms of data and model size to get better results.\n\nPlease ask general knowledge questions to the model.\n\nAlso play with the model settings especially the temperature."