Update app.py

app.py

@@ -1,21 +1,23 @@
+# import gradio as gr
+
+# gr.load("models/openai/whisper-large-v3-turbo").launch()
+
+
 import gradio as gr
 
-# Define a processing function that directly returns the transcription
+# Define a function to process the output and extract only the transcription text
 def process_transcription(audio_input):
-    # Load the Whisper model and get the result
-    model = gr.load("models/openai/whisper-large-v3-turbo")  # Use gr.load in the correct way
+    model = gr.Interface.load("models/openai/whisper-large-v3-turbo")
     result = model(audio_input)
     
-    # Return only the transcription text
-    return result["text"]
-
-# Use a Gradio interface to launch the app
-with gr.Blocks() as demo:
-    audio_input = gr.Audio(source="microphone", type="filepath", label="Input Audio")
-    transcription_output = gr.Textbox(label="Transcription")
-
-    # Add interaction
-    audio_input.change(process_transcription, inputs=audio_input, outputs=transcription_output)
+    # Extract the transcription text directly
+    transcription = result["text"]
+    return transcription
 
-# Launch the app
-demo.launch()
+# Launch the interface
+gr.Interface(
+    fn=process_transcription,
+    inputs="audio",
+    outputs="text",
+    live=True,
+).launch()