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import os
import requests
from fastapi import APIRouter
from pydantic import BaseModel
from dotenv import load_dotenv
from models import *
class WhisperX(BaseModel):
filename: str
router = APIRouter()
load_dotenv()
HUGGING_TOKEN = os.environ["HUGGING_TOKEN"]
async def whsiper_to_text(filename):
if not os.path.isfile(filename):
print(f"Error: File {filename} does not exist.")
return None
API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v3"
headers = {"Authorization": f"Bearer {HUGGING_TOKEN}"}
with open(filename, "rb") as f:
files = {'file': f}
response = requests.post(API_URL, headers=headers, files=files)
if response.status_code != 200:
print(f"Error status {response.status_code}")
return None
return response.json()
@router.post("/akeno/whsiper", response_model=SuccessResponse, responses={422: {"model": SuccessResponse}})
async def whsiper_new(payload: WhisperX):
try:
response_data = await whsiper_to_text(payload.filename)
if response_data is None:
return SuccessResponse(
status="False",
randydev={"error": f"Failed to whisper the filename '{payload.filename}'"}
)
return SuccessResponse(
status="True",
randydev={"message": response_data.get("text")}
)
except Exception as e:
return SuccessResponse(
status="False",
randydev={"error": f"An error occurred: {str(e)}"}
)
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