app error fixed

app.py

@@ -12,7 +12,7 @@ from transformers import pipeline
 # The model "openai/whisper-small" is public and works on CPU (smaller memory footprint).
 # Loading may take a few seconds at startup.
 ASR_MODEL = "openai/whisper-small"
-asr = pipeline("automatic-speech-recognition", model=ASR_MODEL, chunk_length_s=30)
+asr = pipeline("automatic-speech-recognition", model=ASR_MODEL, chunk_length_s=30, ignore_warning=True)
 
 def save_audio_to_wav(audio, sr):
     """
@@ -76,8 +76,9 @@ with gr.Blocks(title="Whisper Tiny Speech-to-Text (Free on HF Spaces)") as demo:
 
     with gr.Row():
         with gr.Column(scale=1):
-            audio_input = gr.Audio(source="microphone", type="numpy", label="Record or upload audio")
-            upload_input = gr.Audio(source="upload", type="numpy", label="Or upload an audio file")
+            audio_input = gr.Audio(type="numpy", label="Record or upload audio")
+            upload_input = gr.Audio(type="numpy", label="Or upload an audio file")
+
             transcribe_btn = gr.Button("Transcribe")
             clear_btn = gr.Button("Clear")
         with gr.Column(scale=1):
@@ -108,10 +109,9 @@ with gr.Blocks(title="Whisper Tiny Speech-to-Text (Free on HF Spaces)") as demo:
 
     # Copy transcript to clipboard (Gradio has `copy` action for buttons)
     copy_btn.click(
-        fn=lambda txt: txt,
-        inputs=transcript,
-        outputs=gr.Textbox(visible=False),
-        _js="(x) => { navigator.clipboard.writeText(x); return x; }"  # copies to clipboard in browser
+    fn=lambda txt: txt,
+    inputs=transcript,
+        outputs=None
     )
 
     gr.Markdown(
@@ -120,4 +120,4 @@ with gr.Blocks(title="Whisper Tiny Speech-to-Text (Free on HF Spaces)") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
+    demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)), share=True)