Removed gradio

app.py

@@ -1,20 +1,25 @@
-from fastapi import FastAPI, File, UploadFile
+import logging
+from fastapi import FastAPI, File, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
-from fastapi.middleware.gzip import GZipMiddleware
-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
 
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
 app = FastAPI()
+
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
     allow_credentials=True,
     allow_methods=["*"],
-    allow_headers=["*"]
+    allow_headers=["*"],
 )
 
 # Initialize models once at startup
@@ -23,34 +28,52 @@ paddle_ocr = PaddleOCR(lang='en', use_angle_cls=True)
 
 def ocr_with_doctr(file):
     text_output = ''
-    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"
+    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 = ''
-    result = paddle_ocr.ocr(img)
-    for i in range(len(result[0])):
-        text = result[0][i][1][0]
-        finaltext += ' ' + text
+    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
 
-def generate_text_from_image(img):
-    return ocr_with_paddle(img)
-
 @app.post("/ocr/")
 async def perform_ocr(file: UploadFile = File(...)):
-    file_bytes = await file.read()
-    if file.filename.endswith('.pdf'):
-        text_output = ocr_with_doctr(io.BytesIO(file_bytes))
-    else:
-        img = np.array(Image.open(io.BytesIO(file_bytes)))
-        text_output = generate_text_from_image(img)
-    return {"ocr_text": text_output}
+    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():