Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import spaces
+
+# Load the Whisper model from Hugging Face
+model = pipeline("automatic-speech-recognition", model="ylacombe/whisper-large-v3-turbo")
+
+# Function to process audio input and transcribe it
+@spaces.GPU
+def transcribe(audio):
+    # Load and preprocess the audio
+    transcription = model(audio)["text"]
+    return transcription
+
+# Gradio interface
+interface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
+    outputs="text",
+    title="Whisper Voice Transcription with Hugging Face"
+)
+
+# Launch the app
+interface.launch()