Update app.py

app.py

@@ -11,42 +11,51 @@ 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,
+    )
 
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
-
+    # Prepare the full chat history
     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:"
+
     response = ""
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
+    # Stream the model output token by token
+    for token in client.text_generation(
+        prompt,
+        max_new_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
-        response += token
+        response += token.token
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
 chatbot = gr.ChatInterface(
-    respond,
+    fn=respond,
     type="messages",
     additional_inputs=[
-        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.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.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
@@ -63,6 +72,5 @@ with gr.Blocks() as demo:
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
     demo.launch()