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Duplicate from elina12/tarteel

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  1. .gitattributes +35 -0
  2. README.md +14 -0
  3. app.py +41 -0
  4. requirements.txt +2 -0
.gitattributes ADDED
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README.md ADDED
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+ ---
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+ title: Tarteel
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+ emoji: 👀
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+ colorFrom: red
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 3.38.0
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+ app_file: app.py
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+ pinned: false
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+ license: other
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+ duplicated_from: elina12/tarteel
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ # from transformers import pipeline
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+ # import gradio as gr
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+
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+
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+ # # Load the pipeline with the cache_dir parameter
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+ # pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran")
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+
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+ # def transcribe(audio):
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+ # text = pipe(audio)["text"]
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+ # return text
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+
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+ # iface = gr.Interface(
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+ # fn=transcribe,
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+ # inputs=gr.Audio(source="upload", type="filepath"),
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+ # outputs="text",
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+ # )
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+
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+ # iface.launch()
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+ from transformers import pipeline
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+
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+ model_id = "tarteel-ai/whisper-base-ar-quran" # update with your model id
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+ pipe = pipeline("automatic-speech-recognition", model=model_id)
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+
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+ def transcribe(filepath):
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+ output = pipe(
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+ filepath,
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+ max_new_tokens=10000,
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+ chunk_length_s=30,
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+ batch_size=8,
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+ )
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+ return output["text"]
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+
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+ import gradio as gr
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+
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+ iface = gr.Interface(
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+ fn=transcribe,
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+ inputs=gr.Audio(source="upload", type="filepath"),
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+ outputs="text",
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+ )
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+
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+ iface.launch()
requirements.txt ADDED
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+ transformers
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+ torch