Create app.py

app.py

@@ -0,0 +1,15 @@
+import whisper
+from transformers import pipeline
+import gradio as gr
+
+model = whisper.load_model("base")
+
+def transcribe(audio):
+    result = model.transcribe(audio)
+    return result["text"]
+
+gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs="text"
+).launch()