add test2.py
Browse files
1.flac
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Binary file (183 kB). View file
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test.py
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@@ -1,7 +1,7 @@
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from transformers import pipeline
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classifier = pipeline(model="superb/wav2vec2-base-superb-ks")
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res = classifier("
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#res = classifier("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/1.flac")
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print(str(res))
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from transformers import pipeline
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classifier = pipeline(model="superb/wav2vec2-base-superb-ks")
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res = classifier("1.flac")
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#res = classifier("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/1.flac")
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print(str(res))
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test2.py
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@@ -0,0 +1,14 @@
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import requests
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API_URL = "https://api-inference.huggingface.co/models/MIT/ast-finetuned-audioset-10-10-0.4593"
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headers = {"Authorization": "Bearer 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"}
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filename = '1.flac'
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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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res = query(filename)
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print(str(res))
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