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app.py

@@ -3,37 +3,9 @@ import json
 import gradio as gr
 import easyocr
 
-reader = easyocr.Reader(['en'])
-
-# ocr = PaddleOCR(use_angle_cls=True, lang='en', use_pdserving=False, cls_batch_num=8, det_batch_num=8, rec_batch_num=8)
-
-# ocr = PaddleOCR(use_angle_cls=True, lang='en')
-
-# def index(url):
-#     response = requests.get(url)
-#     img = Image.open(BytesIO(response.content))
-#     resize_factor = 1
-#     new_size = tuple(int(dim * resize_factor) for dim in img.size)
-#     img = img.resize(new_size, Image.Resampling.LANCZOS)
-
-#     img_array = np.array(img.convert('RGB'))
-
-#     result = ocr.ocr(img_array)
-
-#     boxes = [line[0] for line in result]
-#     txts = [line[1][0] for line in result]
-#     scores = [line[1][1] for line in result]
-
-#     print(boxes)
-#     print(txts)
-
-#     output_dict = {"texts": txts, "boxes": boxes, "scores": scores}
-#     output_json = json.dumps(output_dict)  # Convert to JSON string
-
-#     return output_json
-
 
 def index(image_url):
+    reader = easyocr.Reader(['en'])
     result = reader.readtext(image_url)
 
     texts = []
@@ -46,7 +18,7 @@ def index(image_url):
 
     output_dict = {"texts": texts, "boxes": probs}
     output_json = json.dumps(output_dict) 
-    
+
     return output_json
 
 inputs_image_url = [
@@ -63,4 +35,4 @@ interface_image_url = gr.Interface(
     outputs=outputs_result_json,
     title="Text Extraction",
     cache_examples=False,
-).queue().launch()
+).queue().launch()

g-ocr.py

@@ -52,6 +52,36 @@
 # opening = opening(gray)
 # canny = canny(gray)
 
+
+# ocr = PaddleOCR(use_angle_cls=True, lang='en', use_pdserving=False, cls_batch_num=8, det_batch_num=8, rec_batch_num=8)
+
+# ocr = PaddleOCR(use_angle_cls=True, lang='en')
+
+# def index(url):
+#     response = requests.get(url)
+#     img = Image.open(BytesIO(response.content))
+#     resize_factor = 1
+#     new_size = tuple(int(dim * resize_factor) for dim in img.size)
+#     img = img.resize(new_size, Image.Resampling.LANCZOS)
+
+#     img_array = np.array(img.convert('RGB'))
+
+#     result = ocr.ocr(img_array)
+
+#     boxes = [line[0] for line in result]
+#     txts = [line[1][0] for line in result]
+#     scores = [line[1][1] for line in result]
+
+#     print(boxes)
+#     print(txts)
+
+#     output_dict = {"texts": txts, "boxes": boxes, "scores": scores}
+#     output_json = json.dumps(output_dict)  # Convert to JSON string
+
+#     return output_json
+
+
+
 import easyocr
 
 image_url = 'https://res.cloudinary.com/ddvajyjou/image/upload/v1706960876/rzse0mcqxbgs8z2pf6lr.png'