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parambharat
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151dc14
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Parent(s):
1b21719
Update app.py
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app.py
CHANGED
@@ -5,7 +5,7 @@ import pytube as pt
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from transformers import pipeline
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from huggingface_hub import model_info
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MODEL_NAME = "parambharat/whisper-
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lang = "ml"
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device = 0 if torch.cuda.is_available() else "cpu"
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@@ -67,7 +67,7 @@ mf_transcribe = gr.Interface(
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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title="Whisper
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description=(
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"Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
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f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
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@@ -82,7 +82,7 @@ yt_transcribe = gr.Interface(
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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title="Whisper
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description=(
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"Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
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f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
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from transformers import pipeline
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from huggingface_hub import model_info
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MODEL_NAME = "parambharat/whisper-small-ml" #this always needs to stay in line 8 :D sorry for the hackiness
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lang = "ml"
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device = 0 if torch.cuda.is_available() else "cpu"
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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title="Whisper Small Malayalam Demo: Transcribe Audio",
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description=(
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"Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
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f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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title="Whisper Small Malayalam Demo: Transcribe YouTube",
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description=(
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"Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
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f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
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