Spaces:
Runtime error
Runtime error
File size: 1,492 Bytes
49e3c14 6f72515 49e3c14 6f72515 49e3c14 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import JSONResponse, RedirectResponse
from tempfile import NamedTemporaryFile
import whisper
import torch
from typing import List
# Checking if NVIDIA GPU is available
#torch.cuda.is_available()
#DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
# Load the Whisper model:
#model = whisper.load_model("base", device=DEVICE)
model = whisper.load_model("base")
app = FastAPI()
@app.post("/whisper/")
async def handler(files: List[UploadFile] = File(...)):
if not files:
raise HTTPException(status_code=400, detail="No files were provided")
# For each file, let's store the results in a list of dictionaries.
results = []
for file in files:
# Create a temporary file.
with NamedTemporaryFile(delete=True) as temp:
# Write the user's uploaded file to the temporary file.
with open(temp.name, "wb") as temp_file:
temp_file.write(file.file.read())
# Let's get the transcript of the temporary file.
result = model.transcribe(temp.name)
# Now we can store the result object for this file.
results.append({
'filename': file.filename,
'transcript': result['text'],
})
return JSONResponse(content={'results': results})
@app.get("/", response_class=RedirectResponse)
async def redirect_to_docs():
return "/docs"
|