Update app.py

app.py

@@ -5,24 +5,28 @@ from transformers import 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
+    chunk_length_s=30,   # split long audio into 30 s chunks
+    device=-1            # use CPU; set to 0 if you enable GPU in your Space
 )
 
-def transcribe(audio):
-    # audio waa path/wav array
-    result = asr(audio, return_timestamps=False)
-    text = result["text"]
-    return text
+def transcribe(audio_filepath):
+    """Run the ASR model on the given WAV file path and return the text."""
+    result = asr(audio_filepath, return_timestamps=False)
+    return result["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")
+        mic = gr.Audio(
+            sources=["microphone"],    # allow recording from mic
+            type="filepath",           # give us a local file path
+            label="Record Somali Input"
+        )
         btn = gr.Button("Transcribe")
-    txt_out = gr.Textbox(label="Transcription")
-    btn.click(fn=transcribe, inputs=mic, outputs=txt_out)
+    txt_out = gr.Textbox(label="Transcription", interactive=False)
+
+    # wire up the button: take mic as input, produce txt_out
+    btn.click(fn=transcribe, inputs=[mic], outputs=[txt_out])
 
 if __name__ == "__main__":
     demo.launch()