Update app.py

app.py

@@ -1,71 +1,19 @@
-import uvicorn
-from fastapi import FastAPI, UploadFile, File, HTTPException
+import logging
+from fastapi import FastAPI, File, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
-from typing import Optional
-import numpy as np
-from PIL import Image
 from paddleocr import PaddleOCR
 from doctr.io import DocumentFile
 from doctr.models import ocr_predictor
+import numpy as np
+from PIL import Image
 import io
-import logging
-
-class OCRAPIApp:
-    def __init__(self):
-        self.app = FastAPI(
-            docs_url="/",
-            title="OCR API",
-            version="1.0",
-        )
-        self.setup_routes()
-        self.paddle_ocr = PaddleOCR(lang='en', use_angle_cls=True)
-        self.doctr_model = ocr_predictor(pretrained=True)
-
-    def ocr_with_paddle(self, img):
-        try:
-            logging.info("Processing image with PaddleOCR...")
-            result = self.paddle_ocr.ocr(img)
-            text_output = ' '.join([line[1][0] for line in result[0]])
-            return text_output
-        except Exception as e:
-            logging.error(f"Error with PaddleOCR: {e}")
-            raise HTTPException(status_code=500, detail="Error processing image")
 
-    def ocr_with_doctr(self, file):
-        try:
-            logging.info("Processing PDF with Doctr...")
-            doc = DocumentFile.from_pdf(file)
-            result = self.doctr_model(doc)
-            text_output = ''
-            for page in result.pages:
-                for block in page.blocks:
-                    for line in block.lines:
-                        text_output += ' '.join([word.value for word in line.words]) + "\n"
-            return text_output
-        except Exception as e:
-            logging.error(f"Error with Doctr: {e}")
-            raise HTTPException(status_code=500, detail="Error processing PDF")
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
-    async def ocr_endpoint(self, file: UploadFile = File(...)):
-        try:
-            file_bytes = await file.read()
-            if file.filename.endswith(".pdf"):
-                text_output = self.ocr_with_doctr(io.BytesIO(file_bytes))
-            else:
-                img = np.array(Image.open(io.BytesIO(file_bytes)))
-                text_output = self.ocr_with_paddle(img)
-            return {"ocr_text": text_output}
-        except Exception as e:
-            logging.error(f"Error processing file: {e}")
-            raise HTTPException(status_code=500, detail="Error processing file")
+app = FastAPI()
 
-    def setup_routes(self):
-        self.app.post("/ocr")(self.ocr_endpoint)
-
-# Initialize the app
-app = OCRAPIApp().app
-
-# Add CORS middleware for cross-origin requests
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -73,5 +21,60 @@ app.add_middleware(
     allow_methods=["*"],
     allow_headers=["*"],
 )
-if __name__ == "__main__":
-   python -m app
+
+# Initialize models once at startup
+ocr_model = ocr_predictor(pretrained=True)
+paddle_ocr = PaddleOCR(lang='en', use_angle_cls=True)
+
+def ocr_with_doctr(file):
+    text_output = ''
+    try:
+        logger.info("Processing PDF with Doctr...")
+        doc = DocumentFile.from_pdf(file)
+        result = ocr_model(doc)
+        for page in result.pages:
+            for block in page.blocks:
+                for line in block.lines:
+                    text_output += " ".join([word.value for word in line.words]) + "\n"
+    except Exception as e:
+        logger.error(f"Error processing PDF: {e}")
+        raise HTTPException(status_code=500, detail=f"Error processing PDF: {e}")
+    return text_output
+
+def ocr_with_paddle(img):
+    finaltext = ''
+    try:
+        logger.info("Processing image with PaddleOCR...")
+        result = paddle_ocr.ocr(img)
+        for i in range(len(result[0])):
+            text = result[0][i][1][0]
+            finaltext += ' ' + text
+    except Exception as e:
+        logger.error(f"Error processing image: {e}")
+        raise HTTPException(status_code=500, detail=f"Error processing image: {e}")
+    return finaltext
+
+@app.post("/ocr/")
+async def perform_ocr(file: UploadFile = File(...)):
+    try:
+        logger.info(f"Received file: {file.filename}")
+        file_bytes = await file.read()
+        
+        if file.filename.endswith('.pdf'):
+            logger.info("Detected PDF file")
+            text_output = ocr_with_doctr(io.BytesIO(file_bytes))
+        else:
+            logger.info("Detected image file")
+            img = np.array(Image.open(io.BytesIO(file_bytes)))
+            text_output = ocr_with_paddle(img)
+        
+        logger.info("OCR completed successfully")
+        return {"ocr_text": text_output}
+
+    except Exception as e:
+        logger.error(f"Internal server error: {e}")
+        raise HTTPException(status_code=500, detail=f"Internal server error: {e}")
+
+@app.get("/test/")
+async def test_call():
+    return {"message": "Hi. I'm running"}