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import requests
import os
from openai import OpenAI
from dotenv import load_dotenv
load_dotenv()
client = OpenAI()
# API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3"
# headers = {"Authorization": f'Bearer {os.environ["HF_ACCESS_TOKEN"]}'}
# def audio_transcribe(path):
# try:
# def query(filename):
# with open(filename, "rb") as f:
# data = f.read()
# response = requests.post(API_URL, headers=headers, data=data)
# os.remove(filename)
# return response.json()
# output = query(path)
# return output["text"]
# except Exception as e:
# print(e)
# return False
def audio_transcribe(path):
try:
audio_file= None
print(path, "path")
audio_file = open(path, "rb")
if not audio_file: return False
transcription = client.audio.transcriptions.create(
model="whisper-1",
file=audio_file
)
return transcription.text
except Exception as e:
print(e)
return False
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