Update app.py

app.py

@@ -11,51 +11,39 @@ def respond(
     top_p,
     hf_token: gr.OAuthToken,
 ):
-    # Initialize the Hugging Face inference client for Gemma
-    client = InferenceClient(
-        model="google/gemma-2b-it",
-        token=hf_token.token,
-    )
 
-    # Prepare the full chat history
+    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+
     messages = [{"role": "system", "content": system_message}]
+
     messages.extend(history)
-    messages.append({"role": "user", "content": message})
 
-    # Build the text prompt manually (Gemma expects plain text, not OpenAI chat schema)
-    prompt = ""
-    for msg in messages:
-        if msg["role"] == "system":
-            prompt += f"System: {msg['content']}\n"
-        elif msg["role"] == "user":
-            prompt += f"User: {msg['content']}\n"
-        elif msg["role"] == "assistant":
-            prompt += f"Assistant: {msg['content']}\n"
-    prompt += "Assistant:"
+    messages.append({"role": "user", "content": message})
 
     response = ""
 
-    # Stream the model output token by token
-    for token in client.text_generation(
-        prompt,
-        max_new_tokens=max_tokens,
+    for message in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        response += token.token
+        choices = message.choices
+        token = ""
+        if len(choices) and choices[0].delta.content:
+            token = choices[0].delta.content
+
+        response += token
         yield response
 
 
 chatbot = gr.ChatInterface(
-    fn=respond,
+    respond,
     type="messages",
     additional_inputs=[
-        gr.Textbox(
-            value="You are a friendly Pregnancy 1st month guidance chatbot named 'PREGNITECH' developed by team Helix AI which consists of 3 members: Hashir Ehtisham, Lameea Khan, and Kainat Ali.",
-            label="System message",
-        ),
-        gr.Slider(minimum=1, maximum=4096, value=2048, 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,
@@ -72,5 +60,6 @@ with gr.Blocks() as demo:
         gr.LoginButton()
     chatbot.render()
 
+
 if __name__ == "__main__":
     demo.launch()