Create app.py

app.py

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+from PIL import Image
+import easyocr
+import gradio as gr
+import json
+
+reader = easyocr.Reader(['ko'], gpu=False)
+
+
+def image_captioning(img, threshold='0.6'):
+    text_bboxes = reader.readtext(img, paragraph=False)
+    confident_text_bboxes = []
+    for text_bbox in text_bboxes:
+        if text_bbox[2] > float(threshold):
+            confident_text_bboxes.append(text_bbox[1])
+
+    print(confident_text_bboxes)
+    return json.dumps(confident_text_bboxes, indent=4, ensure_ascii=False)
+
+
+demo = gr.Interface(fn=image_captioning, inputs=["image", "text"], outputs="text")
+demo.queue(concurrency_count=3, api_open=True)
+demo.launch(share=True)