Update app.py

app.py

@@ -1,23 +1,3 @@
 import gradio as gr
-from huggingface_hub import snapshot_download  
-import sys
-print(sys.path)
 
-import transformers
-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()
+gr.Interface.load("models/wbbbbb/wav2vec2-large-chinese-zh-cn").launch()