Add application file

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+from librosa import load
+
+def transcribe(input_audio):
+    speech, _ = load(input_audio, sr=16000, mono=True)
+    output = pipe(speech, chunk_length_s=30, stride_length_s=5)['text']
+    return output
+
+pipe = pipeline(
+    "automatic-speech-recognition",
+    model="GetmanY1/wav2vec2-large-sami-cont-pt-22k-finetuned",
+    device="cpu"
+    )
+
+gradio_app = gr.Interface(
+    transcribe,
+    gr.Audio(sources=["upload","microphone"]),
+    "text",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()
+
+
+
+# if __name__ == "__main__":
+#     gradio_app.launch()

requirements.txt

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+transformers
+torch
+librosa