Update app.py

app.py

@@ -3,28 +3,36 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
 
-def respond(message, history, max_tokens, temperature, top_p):
-    message = message.strip()  # Ondoa nafasi zisizo za lazima
-    history = history[-5:]  # Chukua historia ya mwisho tu (kuepuka kujirudia)
+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,
-        max_new_tokens=int(max_tokens),
-        temperature=float(temperature),
-        top_p=float(top_p),
+        formatted_prompt,  # ✅ Pass as a single string
+        max_new_tokens=max_tokens,  # ✅ Use max_new_tokens, not max_tokens
+        temperature=temperature,
+        top_p=top_p,
     )
 
-    # Safisha majibu, ondoa sehemu zisizo za lazima
-    response = response.replace("Instruction:", "").replace("Response:", "").strip()
-
-    return response
+    yield response  # ✅ Output the generated response
 
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Slider(minimum=1, maximum=250, value=128, step=1, label="Max new tokens"),
+        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=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)"),
     ],
 )