upload app

app.py

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+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="whispy/whisper_italian")
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
+    outputs="text",
+    title="Whisper Italian",
+    description="Realtime demo for Italian speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()

packages.txt

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+ffmpeg

requirements.txt

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+transformers
+torch
+#pytube