nb

app.py

@@ -8,37 +8,16 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
 def respond(
-    message,
+    audio,  # This will receive the audio input
     history: list[tuple[str, str]],
     system_message,
     max_tokens,
     temperature,
     top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        # yield response
-        yield "Buang NB"
+    # Here you could process the audio file if needed
+    # For now, just returning our fixed response
+    yield "Buang NB"
 
 
 """
@@ -46,6 +25,8 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 """
 demo = gr.ChatInterface(
     respond,
+    chatbot=gr.Chatbot(),
+    textbox=gr.Audio(source="microphone", type="filepath"),  # Changed to Audio input
     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"),