Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+
+
+# Load the Whisper pipeline
+pipe = pipeline("automatic-speech-recognition", 
+                model="fanaf91318/whisper-large-v3")
+
+def transcribe_audio(audio_file):
+    # Transcribe the audio
+    result = pipe(audio_file)
+    
+    # Return the transcription
+    return result["text"]
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Whisper Large v3 Audio Transcription",
+    description="Upload an audio file to get its transcription using Whisper Large v3."
+)
+
+# Launch the interface
+iface.launch()