Create main.py

main.py

@@ -0,0 +1,36 @@
+from fastapi import FastAPI, UploadFile, File
+from paddleocr import PaddleOCR
+from PIL import Image
+import numpy as np
+import io
+
+app = FastAPI()
+
+# Load Model into 16GB RAM
+# use_angle_cls=False is faster and uses less memory
+ocr = PaddleOCR(use_angle_cls=False, lang='en', use_gpu=False)
+
+@app.get("/")
+def home():
+    return {"status": "OCR Ready"}
+
+@app.post("/ocr")
+async def get_ocr(file: UploadFile = File(...)):
+    try:
+        # Read image
+        content = await file.read()
+        image = Image.open(io.BytesIO(content)).convert("RGB")
+        img_array = np.array(image)
+        
+        # Run PaddleOCR
+        result = ocr.ocr(img_array, cls=False)
+        
+        # Extract text
+        full_text = ""
+        if result and result[0]:
+            text_lines = [line[1][0] for line in result[0]]
+            full_text = "\n".join(text_lines)
+        
+        return {"text": full_text}
+    except Exception as e:
+        return {"text": "", "error": str(e)}