Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from huggingface_hub import snapshot_download  
+from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
+
+model_id = "wbbbbb/wav2vec2-large-chinese-zh-cn"
+
+model = snapshot_download(repo_id=model_id, cache_dir='cache')
+processor = Wav2Vec2Processor.from_pretrained(model_id)
+
+def transcribe(audio):
+    # 语音识别接口
+    inputs = processor(audio, sampling_rate=16_000, return_tensors="pt", padding=True)  
+    with torch.no_grad():
+        logits = model(inputs.input_values).logits
+    prediction = processor.batch_decode(torch.argmax(logits, dim=-1))
+    return prediction[0]
+
+iface = gr.Interface(fn=transcribe, inputs="audio", outputs="text")
+iface.launch()