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import os
# os.system("sudo apt-get install xclip")
import nltk
import pyclip
import pytesseract
from nltk.tokenize import sent_tokenize
from transformers import MarianMTModel, MarianTokenizer
# Newly added below
from fastapi import FastAPI, File, UploadFile, Body, Depends, HTTPException
from fastapi.security.api_key import APIKeyHeader
from typing import Optional
from fastapi.encoders import jsonable_encoder
API_KEY = os.environ.get("API_KEY")
app = FastAPI()
api_key_header = APIKeyHeader(name="api_key", auto_error=False)
def get_api_key(api_key: Optional[str] = Depends(api_key_header)):
if api_key is None or api_key != API_KEY:
raise HTTPException(status_code=401, detail="Unauthorized access")
return api_key
@app.post("/api/ocr", response_model=dict)
async def ocr(
api_key: str = Depends(get_api_key),
image: UploadFile = File(...),
languages: list = Body(["eng"])
):
# if api_key != API_KEY:
# return {"error": "Invalid API key"}, 401
try:
text = image_to_string(await image.read(), lang="+".join(languages))
except Exception as e:
return {"error": str(e)}, 500
return jsonable_encoder({"text": text})
#@app.post("/api/translate", response_model=dict)
#async def translate(
#api_key: str = Depends(get_api_key),
#text: str = Body(...),
#src: str = "en",
#trg: str = "zh",
#):
# if api_key != API_KEY:
# return {"error": "Invalid API key"}, 401
# tokenizer, model = get_model(src, trg)
# translated_text = ""
# for sentence in sent_tokenize(text):
# translated_sub = model.generate(**tokenizer(sentence, return_tensors="pt"))[0]
# translated_text += tokenizer.decode(translated_sub, skip_special_tokens=True) + "\n"
# return jsonable_encoder({"translated_text": translated_text})
#def get_model(src: str, trg: str):
# model_name = f"Helsinki-NLP/opus-mt-{src}-{trg}"
#tokenizer = MarianTokenizer.from_pretrained(model_name)
#model = MarianMTModel.from_pretrained(model_name)
#return tokenizer, model |