Create app.txt

app.txt

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+import torchaudio
+import librosa
+from transformers import Wav2Vec2ForCTC,Wav2Vec2Processor,pipeline
+processor = Wav2Vec2Processor.from_pretrained(model_name_or_path)
+model = Wav2Vec2ForCTC.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-persian")
+def ASR(Audio):
+    audiofile=torchaudio.load(Audio,16000)
+
+iface = gr.Interface(fn=ASR, inputs="audio", outputs="text")
+iface.launch(share=False)