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app.py

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+import gradio as gr
+
+import gradio as gr
+
+def process_audio(audio_file):
+    if audio_file is None:
+        return "Please upload an audio file."
+    
+    try:
+        result = transcribe_audio(audio_file)
+        return f"**Transcription:**\\n{result['text']}\\n\\n**Language:** {result['language']}"
+    except Exception as e:
+        return f"Error processing audio: {str(e)}"
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=process_audio,
+    inputs=gr.Audio(type="filepath"),
+    outputs=gr.Markdown(),
+    title="Whisper.cpp Speech-to-Text",
+    description="Upload an audio file to transcribe it using Whisper.cpp (local processing)",
+    examples=[
+        # Add example audio files here
+    ]
+)
+
+demo.launch()
+