create

app.py

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+import os
+import numpy as np
+
+#try:
+#    import tensorflow  # required in Colab to avoid protobuf compatibility issues
+#except ImportError:
+#    pass
+
+#import torch
+#import pandas as pd
+import whisper
+#import torchaudio
+
+#from tqdm.notebook import tqdm
+
+
+#DEVICE = "cuda" if torch.cuda.is_available() else "CPU"
+model = whisper.load_model("base.en")
+
+def fun(audio):
+  result = model.transcribe(audio)
+  return result["text"]
+  
+# predict without timestamps for short-form transcription
+#options = whisper.DecodingOptions(language="en", without_timestamps=True)
+
+
+#for mels, texts in tqdm(loader):
+#    results = model.decode(mels, options)
+#    hypotheses.extend([result.text for result in results])
+#    references.extend(texts)
+
+gr.Interface(
+    title = 'Testing Whisper', 
+    fn=fun, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", streaming = "True" ) #,type="filepath")
+    ],
+    outputs=[
+        "textbox"
+    ],
+    live=True).launch()