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title = """# 🙋🏻♂️Welcome to Tonic's🫴🏻📸GOT-OCR | |
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""" | |
description = """ | |
The **GOT-OCR model** is a cutting-edge OCR system with **580M parameters**, designed to process a wide range of "characters." Equipped with a **high-compression encoder** and a **long-context decoder**, it excels in both scene and document-style images. The model supports **multi-page** and **dynamic resolution OCR**, enhancing its versatility. | |
### Key Features | |
- **Plain Text OCR**: Extracts text from images. | |
- **Formatted Text OCR**: Retains the original formatting, including tables and formulas. | |
- **Fine-grained OCR**: Offers box-based and color-based OCR for precision in specific regions. | |
- **Multi-crop OCR**: Handles multiple cropped sections within an image. | |
## Supported Content Types | |
- Plain text | |
- Math/molecular formulas | |
- Tables and charts | |
- Sheet music | |
- Geometric shapes | |
## How to Use | |
1. Select a task from the dropdown menu. | |
2. Upload an image. | |
3. (Optional) Adjust parameters based on the selected task. | |
4. Click **Process** to view the results. | |
""" | |
joinus = """--- | |
### Join us : | |
🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/qdfnvSPcqP) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [Build Tonic](https://git.tonic-ai.com/contribute)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗 | |
""" | |
modelinfor = """--- | |
### Model Information | |
- **Model Name**: GOT-OCR 2.0 | |
- **Hugging Face Repository**: [ucaslcl/GOT-OCR2_0](https://huggingface.co/ucaslcl/GOT-OCR2_0) | |
- **Environment**: CUDA 11.8 + PyTorch 2.0.1 | |
""" | |
tasks = [ | |
"Plain Text OCR", | |
"Format Text OCR", | |
"Fine-grained OCR (Box)", | |
"Fine-grained OCR (Color)", | |
"Multi-crop OCR", | |
"Render Formatted OCR" | |
] | |
ocr_types = ["ocr", "format"] | |
ocr_colors = ["red", "green", "blue"] | |
howto = """ | |
To use Fine-grained OCR (Color): | |
1. Click on 'Fine-grained OCR (Color)' in the task dropdown. | |
2. Set 'OCR Type' to 'ocr'. | |
3. This will display the image editor. | |
4. Upload an image to the editor. | |
5. Use the drawing tools to draw a circle around the text you want to OCR. | |
6. Select the color that matches your circle in the 'OCR Color' dropdown. | |
7. Click 'Process Edited Image' to run the OCR on the selected area. | |
""" | |