Update app.py

app.py

@@ -3,34 +3,27 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
 
-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 format_clean_prompt(user_input):
+    """Formats input without extra labels"""
+    return f"{user_input}\n"
 
 def respond(message, history, system_message, max_tokens, temperature, top_p):
-    formatted_prompt = format_alpaca_prompt(message, system_message)
+    formatted_prompt = format_clean_prompt(message)
 
     response = client.text_generation(
-        formatted_prompt,  # ✅ Pass as a single string
-        max_new_tokens=max_tokens,  # ✅ Use max_new_tokens, not max_tokens
+        formatted_prompt, 
+        max_new_tokens=max_tokens,
         temperature=temperature,
         top_p=top_p,
     )
 
-    yield response  # ✅ Output the generated response
+    # ✅ Clean output by removing extra newlines
+    yield response.strip()
 
 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"),  # ✅ Keep ≤250
+        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 (nucleus sampling)"),
     ],