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Parent(s):
e698c7f
articel and des
Browse files- Gradio/app.py +44 -8
Gradio/app.py
CHANGED
@@ -36,13 +36,49 @@ def asr(audio):
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title = "Urdu Automatic Speech Recognition"
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description = """
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examples = [["Sample/sample1.mp3"], ["Sample/sample2.mp3"], ["Sample/sample3.mp3"]]
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@@ -68,7 +104,7 @@ def main():
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description=description,
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article=article,
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examples=examples,
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theme="
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)
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iface.launch(enable_queue=True)
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title = "Urdu Automatic Speech Recognition"
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description = """
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<p>
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<center>
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset.
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<img src="https://huggingface.co/spaces/kingabzpro/Urdu-ASR-SOTA/resolve/main/Images/cover.jpg" alt="logo" width="550"/>
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</center>
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</p>
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"""
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article = "<p style='text-align: center'><a href='https://dagshub.com/kingabzpro/Urdu-ASR-SOTA' target='_blank'>Source Code on DagsHub</a></p><p style='text-align: center'><a href='https://huggingface.co/blog/fine-tune-xlsr-wav2vec2' target='_blank'>Fine-tuning XLS-R for Multi-Lingual ASR with π€ Transformers</a></p></center></p>"
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examples = [
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["examples/00008.jpg"],
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["examples/00045.jpg"],
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]
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favicon = "examples/favicon.ico"
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thumbnail = "examples/SavtaDepth.png"
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def main():
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iface = gr.Interface(
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gen,
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gr.inputs.Image(shape=(640, 480), type="numpy"),
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"image",
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title=title,
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flagging_options=["incorrect", "worst", "ambiguous"],
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allow_flagging="manual",
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flagging_callback=hf_writer,
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description=description,
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article=article,
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examples=examples,
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theme="peach",
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allow_screenshot=True,
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)
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iface.launch(enable_queue=True)
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# enable_queue=True,auth=("admin", "pass1234")
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if __name__ == "__main__":
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main()
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examples = [["Sample/sample1.mp3"], ["Sample/sample2.mp3"], ["Sample/sample3.mp3"]]
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description=description,
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article=article,
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examples=examples,
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theme="grass",
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)
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iface.launch(enable_queue=True)
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