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Edward Tan
commited on
Commit
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5a22ed5
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Parent(s):
e9e2074
Correcting app.py error
Browse files- app.py +11 -10
- wav2vec2_model_pipeline/model.safetensors +1 -1
app.py
CHANGED
@@ -5,12 +5,15 @@ local_model_name = "wav2vec2_model_pipeline"
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speech_recognizer = pipeline("automatic-speech-recognition", model = local_model_name)
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def greet_and_transcribe(name, intensity, input_audio):
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demo = gr.Interface(
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title="A simple audio transcribing model",
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@@ -21,9 +24,7 @@ demo = gr.Interface(
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gr.Text(placeholder="input your name here"),
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gr.Slider(minimum=1, maximum=5, value=3),
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gr.Audio()],
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outputs=["
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allow_flagging="auto",
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# article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
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)
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demo.launch(share=True)
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speech_recognizer = pipeline("automatic-speech-recognition", model = local_model_name)
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def greet_and_transcribe(name, intensity, input_audio):
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try:
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input_audio_rs = librosa.resample(
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input_audio[1].astype(float),
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orig_sr=input_audio[0],
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target_sr=speech_recognizer.feature_extractor.sampling_rate)
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transcribed_audio = speech_recognizer(input_audio_rs)["text"]
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return "Hello, " + name + "!" * int(intensity), transcribed_audio
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except Exception as err:
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return "Hello, " + name + "!" * int(intensity), err
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demo = gr.Interface(
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title="A simple audio transcribing model",
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gr.Text(placeholder="input your name here"),
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gr.Slider(minimum=1, maximum=5, value=3),
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gr.Audio()],
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outputs=[gr.Text(label="Greeting"), gr.Text(label="Transcribed output")],
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allow_flagging="auto"
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)
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demo.launch(share=True)
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wav2vec2_model_pipeline/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 377611120
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version https://git-lfs.github.com/spec/v1
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oid sha256:4555726530352261d56919d55eae9002a57ba5c78a6f9d1fbe384ba838b30c61
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size 377611120
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