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Update audio_save.py
Browse files- audio_save.py +10 -6
audio_save.py
CHANGED
@@ -8,11 +8,15 @@ if not os.path.exists('./tarun_1234'):
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hf_token = os.environ['HF_TOKEN']
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@app.post("/save_audio")
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async def save_audio(audio: UploadFile = File(...), path: str = Form(...)):
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# print('PATH ************************ >>>>>', path)
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folder_path = path.split('/')[1]
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count = path.split('/')[-1].split('.')[0]
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@@ -52,11 +56,11 @@ async def save_audio(audio: UploadFile = File(...), path: str = Form(...)):
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# df1 = pd.DataFrame(l,columns = ['script','response','transcription'])
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# api.upload_file(
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# path_or_fileobj=f'{folder_path}/transcription/state_wise_duplicates.csv',
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hf_token = os.environ['HF_TOKEN']
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api = HfApi(token = hf_token)
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@app.post("/save_audio")
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async def save_audio(audio: UploadFile = File(...), path: str = Form(...), script_name: str = Form(...)):
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# print('PATH ************************ >>>>>', path)
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folder_path = path.split('/')[1]
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filename = path.split('/')[-1]
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# script_name = script_name
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count = path.split('/')[-1].split('.')[0]
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# df1 = pd.DataFrame(l,columns = ['script','response','transcription'])
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api.upload_file(
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path_or_fileobj=path,
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path_in_repo=f"{folder_path}/{script_name}/{filename}",
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repo_id="hellojarvis/agent_data",
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repo_type="dataset",)
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# api.upload_file(
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# path_or_fileobj=f'{folder_path}/transcription/state_wise_duplicates.csv',
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