| import base64 | |
| import io | |
| import os | |
| import gradio as gr | |
| import requests | |
| from PIL import Image | |
| API_URL = "https://t7nd0cf3u89ck4bf.aistudio-hub.baidu.com/ocr" | |
| TOKEN = os.getenv("API_TOKEN", "") | |
| def inference(img): | |
| with io.BytesIO() as buffer: | |
| img.save(buffer, format="png") | |
| img_base64 = base64.b64encode(buffer.getvalue()).decode("ascii") | |
| headers = { | |
| "Authorization": f"token {TOKEN}", | |
| "Content-Type": "application/json", | |
| } | |
| response = requests.post( | |
| API_URL, | |
| json={ | |
| "file": img_base64, | |
| "fileType": 1, | |
| "useDocOrientationClassify": False, | |
| "useDocUnwarping": False, | |
| "useTextlineOrientation": False, | |
| }, | |
| headers=headers, | |
| timeout=1000, | |
| ) | |
| response.raise_for_status() | |
| result = response.json() | |
| ocr_img_url = result["result"]["ocrResults"][0]["ocrImage"] | |
| response = requests.get(ocr_img_url, timeout=10) | |
| response.raise_for_status() | |
| ocr_img_base64 = Image.open(io.BytesIO(response.content)) | |
| return ocr_img_base64, result["result"]["ocrResults"][0]["prunedResult"] | |
| title = "PP-OCRv5 Online Demo" | |
| description = """ | |
| - PP-OCRv5 is the latest generation of the PP-OCR series model, designed to handle a wide range of scene and text types. | |
| - It supports five major text types: Simplified Chinese, Traditional Chinese, Pinyin annotation, English, and Japanese. | |
| - PP-OCRv5 has enhanced recognition capabilities for challenging use cases, including complex handwritten Chinese and English, vertical text, and rare characters. | |
| - To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. | |
| - [Docs](https://paddlepaddle.github.io/PaddleOCR/), [Github Repository](https://github.com/PaddlePaddle/PaddleOCR). | |
| """ | |
| examples = [ | |
| ["examples/ancient_demo.png"], | |
| ["examples/handwrite_ch_demo.png"], | |
| ["examples/handwrite_en_demo.png"], | |
| ["examples/japan_demo.png"], | |
| ["examples/magazine.png"], | |
| ["examples/pinyin_demo.png"], | |
| ["examples/research.png"], | |
| ["examples/tech.png"], | |
| ] | |
| css = """ | |
| .output_image, .input_image {height: 40rem !important; width: 100% !important;} | |
| h1 {text-align: center !important;} | |
| """ | |
| gr.Interface( | |
| inference, | |
| gr.Image(type="pil", label="Input Image"), | |
| [gr.Image(type="pil", label="Output Image"), gr.JSON(label="Output JSON", show_label=True)], | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| cache_examples=False, | |
| css=css, | |
| ).launch(debug=False) | |