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--- |
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license: afl-3.0 |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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language: |
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- en |
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- fr |
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- es |
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metrics: |
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- accuracy |
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- bleu |
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- character |
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pipeline_tag: conversational |
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tags: |
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- climate |
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--- |
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import requests |
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API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3" |
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headers = {"Authorization": "Bearer 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"} |
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|
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def query(filename): |
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with open(filename, "rb") as f: |
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data = f.read() |
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response = requests.post(API_URL, headers=headers, data=data) |
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return response.json() |
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|
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output = query("sample1.flac") |
