Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import whisper
+import tempfile
+import os
+
+model = whisper.load_model("large-v3")
+
+def transcribe_audio(audio_file):
+    if audio_file is None:
+        return {"error": "No audio file provided"}
+    
+    try:
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+            tmp_file.write(audio_file)
+            tmp_file_path = tmp_file.name
+        
+        result = model.transcribe(tmp_file_path)
+        
+        os.unlink(tmp_file_path)
+        
+        return {"text": result["text"]}
+    
+    except Exception as e:
+        return {"error": str(e)}
+
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.File(type="binary"),
+    outputs=gr.JSON(),
+    api_name="transcribe"
+)
+
+if __name__ == "__main__":
+    iface.launch()