Update app.py

app.py

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