parambharat commited on
Commit
9df2d26
1 Parent(s): 7d23388

Update Model and Language

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -5,8 +5,8 @@ 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 = "openai/whisper-small" #this always needs to stay in line 8 :D sorry for the hackiness
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- lang = "en"
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  device = 0 if torch.cuda.is_available() else "cpu"
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  pipe = pipeline(
@@ -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 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"
@@ -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 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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  from transformers import pipeline
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  from huggingface_hub import model_info
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+ MODEL_NAME = "parambharat/whisper-tiny-ta" #this always needs to stay in line 8 :D sorry for the hackiness
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+ lang = "ta"
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  device = 0 if torch.cuda.is_available() else "cpu"
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  pipe = pipeline(
 
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  outputs="text",
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  layout="horizontal",
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  theme="huggingface",
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+ title="Whisper Tiny Ta 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 Tiny Ta 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"