Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from funasr import AutoModel
+
+# Initialize the FunASR model with the specified components
+model = AutoModel(
+    model="paraformer-zh", model_revision="v2.0.4",
+    vad_model="fsmn-vad", vad_model_revision="v2.0.4",
+    punc_model="ct-punc-c", punc_model_revision="v2.0.4",
+    # Uncomment the next line to enable speaker verification/diarization
+    # spk_model="cam++", spk_model_revision="v2.0.2",
+)
+
+def transcribe(audio_file):
+    # Processing the input audio file
+    result = model.generate(
+        input=audio_file.name,
+        batch_size_s=300, 
+        hotword='魔搭'  # This is an example keyword; replace or remove as necessary
+    )
+    return result
+
+# Gradio interface setup
+interface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.inputs.Audio(source="microphone", type="filepath", label="Upload your audio in Mandarin"),
+    outputs="text",
+    title="FunASR Speech Recognition",
+    description="This Gradio app uses the paraformer-zh model for speech recognition with additional features like VAD and punctuation restoration."
+)
+
+# Run the Gradio app
+if __name__ == "__main__":
+    interface.launch()