Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+
 def respond(
     message,
     history: list[dict[str, str]],
@@ -11,36 +12,38 @@ def respond(
     hf_token: gr.OAuthToken,
 ):
     """
-    Chat interface using your uploaded Hugging Face model (text-generation).
+    For more information on `huggingface_hub` Inference API support, please check:
+    https://huggingface.co/docs/huggingface_hub/en/guides/inference
     """
-    client = InferenceClient(
-        token=hf_token.token,
-        model="Dhansh2001/my-fitlien-chatbot-pruned-quantized"
-    )
+    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
 
-    # Build prompt manually since it's not a chat model
-    history_text = "".join([f"User: {h['content']}\n" if h["role"]=="user" else f"Bot: {h['content']}\n" for h in history])
-    prompt = f"{system_message}\n{history_text}User: {message}\nBot:"
+    # Format messages in Chat API format
+    messages = [{"role": "system", "content": system_message}]
+    messages.extend(history)
+    messages.append({"role": "user", "content": message})
 
     response = ""
-    for token in client.text_generation(
-        prompt,
-        max_new_tokens=max_tokens,
+
+    # Use chat_completion instead of text_generation
+    for event in client.chat_completion(
+        messages=messages,
+        max_tokens=max_tokens,
+        stream=True,
         temperature=temperature,
         top_p=top_p,
-        stream=True,
     ):
-        response += token
-        yield response
+        if event.choices and event.choices[0].delta.content:
+            token = event.choices[0].delta.content
+            response += token
+            yield response
 
 
-# Build Chat UI
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
     additional_inputs=[
-        gr.Textbox(value="You are a friendly FitLien Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=128, step=1, label="Max new tokens"),
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, 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,
@@ -57,6 +60,5 @@ with gr.Blocks() as demo:
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(ssr_mode=False)  # disable SSR for stability