Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 1) Load ASR pipeline
+asr = pipeline(
+    "automatic-speech-recognition",
+    model="tacab/ASR_SOMALI",
+    chunk_length_s=30,         # haddii audio-ga dheer yahay
+    device=-1                  # CPU; haddii GPU jiro, device=0
+)
+
+def transcribe(audio):
+    # audio waa path/wav array
+    result = asr(audio, return_timestamps=False)
+    text = result["text"]
+    return text
+
+# 2) Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Tacab Somali ASR Module")
+    with gr.Row():
+        mic = gr.Audio(source="microphone", type="filepath", label="Record Somali Input")
+        btn = gr.Button("Transcribe")
+    txt_out = gr.Textbox(label="Transcription")
+    btn.click(fn=transcribe, inputs=mic, outputs=txt_out)
+
+if __name__ == "__main__":
+    demo.launch()