test

app.py

@@ -11,11 +11,14 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 with gr.Blocks() as demo:
     gr.Markdown("# LLM Evaluator With Linguistic Scrutiny")
 
+    gr.Markdown(" Description ")
+
     with gr.Tab("POS"):
-        gr.Markdown("Strategy 1 QA")
         with gr.Row():
             prompt = gr.Textbox(show_label=False, placeholder="Enter prompt")
             send_button_POS = gr.Button("Send", scale=0)
+
+        gr.Markdown("Strategy 1 QA")
         with gr.Row():
             vicuna_chatbot1 = gr.Chatbot(label="vicuna-7b", live=True)
             llama_chatbot1 = gr.Chatbot(label="llama-7b", live=False)
@@ -30,11 +33,14 @@ with gr.Blocks() as demo:
             vicuna_chatbot3 = gr.Chatbot(label="vicuna-7b", live=True)
             llama_chatbot3 = gr.Chatbot(label="llama-7b", live=False)
             gpt_chatbot3 = gr.Chatbot(label="gpt-3.5", live=False)
+        
         clear = gr.ClearButton([prompt, vicuna_chatbot1])
+        
     with gr.Tab("Chunk"):
         with gr.Row():
             prompt_chunk = gr.Textbox(show_label=False, placeholder="Enter prompt")
             send_button_Chunk = gr.Button("Send", scale=0)
+
         gr.Markdown("Strategy 1 QA")
         with gr.Row():
             vicuna_chatbot1_chunk = gr.Chatbot(label="vicuna-7b", live=True)
@@ -50,6 +56,7 @@ with gr.Blocks() as demo:
             vicuna_chatbot3_chunk = gr.Chatbot(label="vicuna-7b", live=True)
             llama_chatbot3_chunk = gr.Chatbot(label="llama-7b", live=False)
             gpt_chatbot3_chunk = gr.Chatbot(label="gpt-3.5", live=False)
+        
         clear = gr.ClearButton([prompt_chunk, vicuna_chatbot1_chunk])
 
     # Define the function for generating responses