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app.py

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+from transformers import pipeline
+import gradio as gr
+
+p = pipeline("automatic-speech-recognition", model = "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn")
+
+def transcribe(audio, state=""):
+    text = p(audio)["text"]
+    state += text + " "
+    return state, state
+
+gr.Interface(
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath"), 
+        "state"
+    ],
+    outputs=[
+        "textbox",
+        "state"
+    ],
+    live=True).launch()