Update app.py

app.py

@@ -1,44 +1,53 @@
 import os
-#os.system('pip install paddlepaddle==2.4.2')
-# os.system('pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html')
-#os.system('pip install paddleocr==2.10.0')
-from paddleocr import PaddleOCR #, draw_ocr
+from paddleocr import PaddleOCR
 from PIL import Image
 import gradio as gr
 
-# from urllib.request import urlretrieve
-# urlretrieve('https://i.imgur.com/aqMBT0i.jpeg', 'example.jpg')
+# โหลด OCR models ครั้งเดียว (ไม่ต้องสร้างใหม่ทุก inference)
+ocr_models = {
+    'en': PaddleOCR(use_angle_cls=True, lang='en', use_gpu=False),
+    'ch': PaddleOCR(use_angle_cls=True, lang='ch', use_gpu=False),
+    'korean': PaddleOCR(use_angle_cls=True, lang='korean', use_gpu=False),
+    'japan': PaddleOCR(use_angle_cls=True, lang='japan', use_gpu=False),
+    'chinese_cht': PaddleOCR(use_angle_cls=True, lang='chinese_cht', use_gpu=False),
+    'ta': PaddleOCR(use_angle_cls=True, lang='ta', use_gpu=False),
+    'te': PaddleOCR(use_angle_cls=True, lang='te', use_gpu=False),
+    'ka': PaddleOCR(use_angle_cls=True, lang='ka', use_gpu=False),
+    'latin': PaddleOCR(use_angle_cls=True, lang='latin', use_gpu=False),
+    'arabic': PaddleOCR(use_angle_cls=True, lang='arabic', use_gpu=False),
+    'cyrillic': PaddleOCR(use_angle_cls=True, lang='cyrillic', use_gpu=False),
+    'devanagari': PaddleOCR(use_angle_cls=True, lang='devanagari', use_gpu=False)
+}
 
+# ฟังก์ชัน inference
 def inference(img, lang):
-    ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
-    img_path = img
-    # result = ocr.ocr(img_path, cls=True)[0] # 2.9
-    result = ocr.ocr(img_path, cls=True)[0]
-    # image = Image.open(img_path).convert('RGB')
-    # boxes = [line[0] for line in result]
-    print(result) #debug
+    ocr = ocr_models.get(lang, ocr_models['en'])  # default เป็นอังกฤษ
+    result = ocr.ocr(img, cls=True)[0]           # cls=True ถ้าต้องการหมุนภาพอัตโนมัติ
     txts = [line[1][0] for line in result]
     return '\n'.join(txts)
-    # scores = [line[1][1] for line in result]
-    # im_show = draw_ocr(image, boxes, txts, scores,
-    #                    font_path='simfang.ttf')
-    # im_show = Image.fromarray(im_show)
-    # im_show.save('result.jpg')
-    # return 'result.jpg'
 
-title = 'PaddleOCR'
-description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
-article = "<p style='text-align: center'><a href='https://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
-examples = [['example.jpg','ch']]
+# Gradio Interface
+title = 'PaddleOCR Fast Demo'
+description = 'Upload an image and choose language to extract text using PaddleOCR (supports 80+ languages).'
+article = "<p style='text-align: center'><a href='https://github.com/PaddlePaddle/PaddleOCR'>PaddleOCR Github Repo</a></p>"
+examples = [['example.jpg', 'en']]  # ต้องมีไฟล์ example.jpg ในโฟลเดอร์เดียวกัน
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
+
 gr.Interface(
-    inference,
-    [gr.Image(type='filepath', label='Input'),gr.Dropdown(choices=['ch', 'en', 'korean', 'japan', 'chinese_cht', 'ta', 'te', 'ka', 'latin', 'arabic', 'cyrillic', 'devanagari'],  value="en", type="value", label='language')],
-    # gr.outputs.Image(type='file', label='Output'),
+    fn=inference,
+    inputs=[
+        gr.Image(type='filepath', label='Input Image'),
+        gr.Dropdown(
+            choices=list(ocr_models.keys()),
+            value='en',
+            type="value",
+            label='Language'
+        )
+    ],
     outputs="text",
     title=title,
     description=description,
     article=article,
     examples=examples,
     css=css
-    ).launch(debug=True)
+).launch(debug=True)