Update app.py

app.py

@@ -1,61 +1,69 @@
-from fastapi import FastAPI, File, UploadFile
-import numpy as np
-from PIL import Image
-from paddleocr import PaddleOCR
-from doctr.io import DocumentFile
-from doctr.models import ocr_predictor
-import io
-import os
-
-app = FastAPI()
-
-# # Load the doctr OCR model
-# os.environ['USE_TORCH'] = 'YES'
-# os.environ['USE_TF'] = 'NO'
-model = ocr_predictor(det_arch='db_resnet50', reco_arch='crnn_vgg16_bn', pretrained=True)
-
-def ocr_with_doctr(file):
-    text_output = ''
+# from fastapi import FastAPI, File, UploadFile
+# import numpy as np
+# from PIL import Image
+# from paddleocr import PaddleOCR
+# from doctr.io import DocumentFile
+# from doctr.models import ocr_predictor
+# import io
+# import os
+
+# app = FastAPI()
+
+# # # Load the doctr OCR model
+# # os.environ['USE_TORCH'] = 'YES'
+# # os.environ['USE_TF'] = 'NO'
+# model = ocr_predictor(det_arch='db_resnet50', reco_arch='crnn_vgg16_bn', pretrained=True)
+
+# def ocr_with_doctr(file):
+#     text_output = ''
     
-    # Load the document
-    doc = DocumentFile.from_pdf(file)
+#     # Load the document
+#     doc = DocumentFile.from_pdf(file)
     
-    # Perform OCR
-    result = ocr_model(doc)
+#     # Perform OCR
+#     result = ocr_model(doc)
     
-    # Extract text from OCR result
-    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"
+#     # Extract text from OCR result
+#     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
+#     return text_output
 
-def ocr_with_paddle(img):
-    finaltext = ''
-    ocr = PaddleOCR(lang='en', use_angle_cls=True)
-    result = ocr.ocr(img)
+# def ocr_with_paddle(img):
+#     finaltext = ''
+#     ocr = PaddleOCR(lang='en', use_angle_cls=True)
+#     result = ocr.ocr(img)
     
-    for i in range(len(result[0])):
-        text = result[0][i][1][0]
-        finaltext += ' ' + text
-    return finaltext
+#     for i in range(len(result[0])):
+#         text = result[0][i][1][0]
+#         finaltext += ' ' + text
+#     return finaltext
 
 
-def generate_text_from_image(img):
-    text_output = ''
-    text_output = ocr_with_paddle(img)
-    return text_output
+# def generate_text_from_image(img):
+#     text_output = ''
+#     text_output = ocr_with_paddle(img)
+#     return text_output
 
-@app.post("/ocr/")
-async def perform_ocr(file: UploadFile = File(...)):
+# @app.post("/ocr/")
+# async def perform_ocr(file: UploadFile = File(...)):
    
-    file_bytes = await file.read()
+#     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)
+#     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}
 
-    return {"ocr_text": text_output}
+mport paddle
+print("PaddlePaddle Version:", paddle.__version__)
+print("Is GPU available:", paddle.is_compiled_with_cuda())
+import tensorflow as tf
+print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
+import tensorflow as tf
+print(tf.test.is_built_with_cuda())