Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+import os
+import torch
+import whisper
+
+voice_model = whisper.load_model("large-v2")
+
+def transcribe_audio(audio_path):
+    result = voice_model.transcribe(whisper.pad_or_trim(whisper.load_audio(audio_path)))["text"]
+    os.remove(audio_path)
+    return {"text": result}
+
+# Create a Gradio interface
+input_audio = gr.Audio(type="filepath")
+output_text = gr.outputs.Textbox()
+
+iface = gr.Interface(fn=transcribe_audio, inputs=input_audio, outputs=output_text, title="Audio Transcription")
+iface.launch(debug=True,share=True)