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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
18 lines
503 B
Python
18 lines
503 B
Python
import gradio as gr
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import os
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# save your HF API token from https:/hf.co/settings/tokens as an env variable to avoid rate limiting
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hf_token = os.getenv("hf_token")
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# automatically load the interface from a HF model
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# you can remove the hf_token parameter if you don't care about rate limiting.
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demo = gr.load(
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"huggingface/facebook/wav2vec2-base-960h",
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title="Speech-to-text",
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inputs="mic",
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description="Let me try to guess what you're saying!",
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hf_token=hf_token
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)
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demo.launch()
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