Update app.py

app.py

@@ -3,24 +3,39 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
 
-def respond(message, history, max_tokens, temperature, top_p):
-    """Sends only the user input as the prompt, ensuring a clean response."""
-    
+def format_alpaca_prompt(user_input, system_prompt):
+    """Formats input in Alpaca/LLaMA style"""
+    prompt = f"""{system_prompt}
+
+### Instruction:
+{user_input}
+
+### Response:
+"""
+    return prompt
+
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    formatted_prompt = format_alpaca_prompt(message, system_message)
+
     response = client.text_generation(
-        message,  # ✅ Directly send user input
-        max_new_tokens=max_tokens,  
+        formatted_prompt,
+        max_new_tokens=max_tokens,
         temperature=temperature,
         top_p=top_p,
     )
 
-    yield response.strip()  # ✅ Removes extra spaces/newlines
+    # ✅ Extract only the response
+    cleaned_response = response.split("### Response:")[-1].strip()
+    
+    yield cleaned_response  # ✅ Output only the answer
 
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         gr.Slider(minimum=1, maximum=250, value=128, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
 )