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Update app.py
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app.py
CHANGED
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@@ -18,34 +18,30 @@ BUCKET_NAME = "ocr_images"
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app = FastAPI(title="RapidOCR FastAPI", version="1.0")
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#
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# DB + GRIDFS INIT
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# -------------------------------------------------------------------
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_client = AsyncIOMotorClient(MONGO_URI)
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_db = _client[DB_NAME]
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_gridfs = AsyncIOMotorGridFSBucket(_db, bucket_name=BUCKET_NAME)
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# RapidOCR ONNX model (loaded once)
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ocr_engine = RapidOCR()
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# In-memory dictionary to store OCR results
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OCR_RESULTS = {}
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# HEALTH CHECK
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# -------------------------------------------------------------------
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@app.get("/health")
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async def health():
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return {"status": "ok"}
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# -------------------------------------------------------------------
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# UPLOAD
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# -------------------------------------------------------------------
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@app.post("/upload")
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async def upload_image(file: UploadFile = File(...)):
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try:
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data = await file.read()
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file.filename,
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data,
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metadata={"contentType": file.content_type},
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@@ -54,70 +50,60 @@ async def upload_image(file: UploadFile = File(...)):
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# -------------------------------------------------------------------
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#
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# -------------------------------------------------------------------
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async def load_image_from_gridfs(image_id: str):
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try:
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oid = ObjectId(image_id)
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data = await stream.read()
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await stream.close()
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return data
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except:
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raise HTTPException(status_code=404, detail="Image not found")
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# -------------------------------------------------------------------
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# GENERATE OCR
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# -------------------------------------------------------------------
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@app.post("/generate/{image_id}")
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async def generate(image_id: str):
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raw_bytes = await load_image_from_gridfs(image_id)
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# Convert to image
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img_array = np.frombuffer(raw_bytes, np.uint8)
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img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
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if img is None:
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raise HTTPException(status_code=400, detail="Unable to decode image")
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# Run RapidOCR
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result, times = ocr_engine(img)
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if not result:
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raise HTTPException(status_code=500, detail="OCR returned empty result")
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for box, text, score in result:
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lines.append(text)
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full_text = "\n".join(lines)
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OCR_RESULTS[image_id] = {
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"text": full_text,
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"details": result,
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"timing": {
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"det": times[0],
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"cls": times[1],
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"rec": times[2],
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},
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}
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return {"image_id": image_id, "text": full_text}
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# VIEW STORED OCR RESULT
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# -------------------------------------------------------------------
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@app.get("/view/{image_id}")
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async def view_details(image_id: str):
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if image_id not in OCR_RESULTS:
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raise HTTPException(status_code=404, detail="No OCR result found
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return OCR_RESULTS[image_id]
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# MAIN
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# -------------------------------------------------------------------
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if __name__ == "__main__":
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uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)
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app = FastAPI(title="RapidOCR FastAPI", version="1.0")
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# DB INIT
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_client = AsyncIOMotorClient(MONGO_URI)
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_db = _client[DB_NAME]
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ocr_engine = RapidOCR()
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OCR_RESULTS = {}
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@app.get("/health")
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async def health():
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return {"status": "ok"}
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# -------------------------------------------------------------------
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# UPLOAD
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# -------------------------------------------------------------------
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@app.post("/upload")
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async def upload_image(file: UploadFile = File(...)):
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try:
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data = await file.read()
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fs = AsyncIOMotorGridFSBucket(_db, bucket_name=BUCKET_NAME)
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oid = await fs.upload_from_stream(
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file.filename,
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data,
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metadata={"contentType": file.content_type},
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# -------------------------------------------------------------------
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# LOAD IMAGE
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# -------------------------------------------------------------------
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async def load_image_from_gridfs(image_id: str):
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try:
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oid = ObjectId(image_id)
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fs = AsyncIOMotorGridFSBucket(_db, bucket_name=BUCKET_NAME)
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stream = await fs.open_download_stream(oid)
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data = await stream.read()
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await stream.close()
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return data
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except Exception as e:
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raise HTTPException(status_code=404, detail="Image not found")
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# -------------------------------------------------------------------
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# GENERATE OCR
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# -------------------------------------------------------------------
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@app.post("/generate/{image_id}")
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async def generate(image_id: str):
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raw_bytes = await load_image_from_gridfs(image_id)
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img_array = np.frombuffer(raw_bytes, np.uint8)
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img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
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if img is None:
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raise HTTPException(status_code=400, detail="Unable to decode image")
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result, times = ocr_engine(img)
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if not result:
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raise HTTPException(status_code=500, detail="OCR returned empty result")
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extracted = [text for box, text, score in result]
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full_text = "\n".join(extracted)
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OCR_RESULTS[image_id] = {
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"text": full_text,
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"details": result,
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"timing": {"det": times[0], "cls": times[1], "rec": times[2]},
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}
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return {"image_id": image_id, "text": full_text}
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@app.get("/view/{image_id}")
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async def view_details(image_id: str):
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if image_id not in OCR_RESULTS:
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raise HTTPException(status_code=404, detail="No OCR result found")
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return OCR_RESULTS[image_id]
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if __name__ == "__main__":
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uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)
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