try again.

app.py

@@ -8,7 +8,7 @@ client = InferenceClient("meta-llama/Llama-3.2-3B-Instruct")
 # client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 # Create a separate client for audio transcription
-audio_client = InferenceClient("openai/whisper-large-v3-turbo")
+audio_client = InferenceClient("openai/whisper-large-v3")
 
 _sys_msg = """
 You are a reporter writing a biographical article about your interviewee and you only ask one question at a time and let the user answer. Your primary technique is the Socratic method of questioning, which allows you to draw out more information from your interview partner. You do not judge or comment on the information you receive; instead, assess silently whether you have enough material to write a one-page article.
@@ -63,10 +63,10 @@ def respond(
 
     for message in client.chat_completion(
         messages,
-        max_tokens=2048,  # Fixed value
+        max_tokens=2048,
         stream=True,
-        temperature=0.7,  # Fixed value
-        top_p=0.95,      # Fixed value
+        temperature=0.7,
+        top_p=0.95,
     ):
         token = message.choices[0].delta.content
         response += token
@@ -75,7 +75,7 @@ def respond(
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Audio(sources="microphone", type="filepath", label="Voice Input")
+        gr.Audio(type="filepath", label="Voice Input (click to record)", sources="microphone")
     ],
     title="AI Biographical Interview Assistant",
     description="""
@@ -85,7 +85,7 @@ demo = gr.ChatInterface(
     
     Simply start with stating your name and a few facts about your early childhood, and the AI will guide you through the interview process. 
     You can either type your responses or use the microphone button to speak them.
-    When finished ask for the final article and the AI will give wrap it up and give you a summary.
+    When finished ask for the final article and the AI will wrap it up and give you a summary.
     """
 )