Update app.py

app.py

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+import gradio as gr
+import torch
+from speechbrain.pretrained import EncoderASR
+import torchaudio
+
+# Charger le modèle
+asr_model = EncoderASR.from_hparams(source="speechbrain/asr-wav2vec2-dvoice-darija", savedir="tmp_model")
+
+def transcribe(audio):
+    waveform, sample_rate = torchaudio.load(audio)
+    transcription = asr_model.transcribe_batch(waveform)
+    return transcription[0]
+
+# Interface Gradio
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs="text",
+    title="Reconnaissance Vocale Darija",
+    description="Parlez en Darija et obtenez la transcription."
+)
+
+iface.launch()