Delete app.py

app.py

@@ -1,116 +0,0 @@
-from fastapi import FastAPI, UploadFile, File, Query
-from fastapi.responses import JSONResponse
-import easyocr
-import numpy as np
-import cv2
-import time
-import requests
-from io import BytesIO
-from PIL import Image
-import os
-
-app = FastAPI(title="EasyOCR API")
-
-# Use /tmp for writable storage
-tmp_dir = "/tmp/EasyOCR"
-model_dir = os.path.join(tmp_dir, "models")
-user_net_dir = os.path.join(tmp_dir, "user_network")
-os.makedirs(model_dir, exist_ok=True)
-os.makedirs(user_net_dir, exist_ok=True)
-
-# Initialize reader with custom directories
-reader = easyocr.Reader(
-    ['en'],
-    gpu=False,
-    model_storage_directory=model_dir,
-    user_network_directory=user_net_dir
-)
-
-def read_image_from_url(url: str):
-    response = requests.get(url)
-    response.raise_for_status()
-    img = np.array(Image.open(BytesIO(response.content)).convert("RGB"))
-    return img
-
-def preprocess_image(image: np.ndarray) -> np.ndarray:
-    # Convert to grayscale
-    gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
-
-    # Denoise slightly
-    gray = cv2.GaussianBlur(gray, (3, 3), 0)
-
-    # Adaptive threshold (makes text sharper)
-    thresh = cv2.adaptiveThreshold(
-        gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
-        cv2.THRESH_BINARY, 31, 2
-    )
-
-    return thresh
-
-@app.get("/")
-async def ocr_url(url: str = Query(None)):
-    start_time = time.time()
-
-    if not url:
-        return JSONResponse(
-            status_code=400,
-            content={"status": False, "error": "Provide ?url= for OCR."}
-        )
-
-    try:
-        image = read_image_from_url(url)
-
-        # Preprocess for better OCR
-        processed = preprocess_image(image)
-
-        # OCR
-        result = reader.readtext(processed)
-
-        # Format result (only text)
-        output = [r[1] for r in result]
-
-        end_time = time.time()
-        time_taken = round(end_time - start_time, 3)
-
-        return {
-            "status": True,
-            "time_taken": time_taken,
-            "results": output
-        }
-
-    except Exception as e:
-        return JSONResponse(
-            status_code=500,
-            content={"status": False, "error": str(e)}
-        )
-
-@app.post("/")
-async def ocr_file(file: UploadFile = File(...)):
-    start_time = time.time()
-
-    try:
-        image = np.array(Image.open(file.file).convert("RGB"))
-
-        # Preprocess for better OCR
-        processed = preprocess_image(image)
-
-        # OCR
-        result = reader.readtext(processed)
-
-        # Format result (only text)
-        output = [r[1] for r in result]
-
-        end_time = time.time()
-        time_taken = round(end_time - start_time, 3)
-
-        return {
-            "status": True,
-            "time_taken": time_taken,
-            "results": output
-        }
-
-    except Exception as e:
-        return JSONResponse(
-            status_code=500,
-            content={"status": False, "error": str(e)}
-        )