Create app.py

app.py

@@ -0,0 +1,15 @@
+from transformers import pipeline
+import gradio as gr
+import time
+
+p = pipeline("automatic-speech-recognition", model="openai/whisper-medium")
+
+
+def transcribe(audio1):
+    mic_audio_transcription = p(audio1, generate_kwargs={"task": "transcribe"})["text"] if audio1 else ""
+    return mic_audio_transcription
+
+gr.Interface(
+    fn=transcribe,
+    inputs=[gr.Audio(source="microphone", type="filepath")],
+    outputs=["text"]).launch()