Add docs

app.py

@@ -1,7 +1,7 @@
 # -*- encoding: utf-8 -*-
 import os
 
-os.system('pip install -r requirements.txt')
+# os.system('pip install -r requirements.txt')
 
 import math
 import random
@@ -101,7 +101,7 @@ def inference(img_path, box_thresh=0.5, unclip_ratio=1.6, text_score=0.5):
 
 
 title = 'RapidOCR Demo (捷智OCR)'
-description = 'Gradio demo for RapidOCR. Github Repo: https://github.com/RapidAI/RapidOCR'
+description = 'Github Repo: [RapidOCR](https://github.com/RapidAI/RapidOCR)\nDocs: [Docs](https://rapidocr.rtfd.io/)\nParameters docs: [link](https://github.com/RapidAI/RapidOCR/tree/main/python#configyaml%E4%B8%AD%E5%B8%B8%E7%94%A8%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D)'
 article = "<p style='text-align: center'> Completely open source, free and support offline deployment of multi-platform and multi-language OCR SDK <a href='https://github.com/RapidAI/RapidOCR'>Github Repo</a></p>"
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
 examples = [['images/1.jpg']]
@@ -113,11 +113,14 @@ gr.Interface(
  inputs=[
  gr.inputs.Image(type='filepath', label='Input'),
  gr.Slider(minimum=0, maximum=1.0, value=0.5,
- label='box_thresh', step=0.1),
+ label='box_thresh', step=0.1,
+ info='检测到的框是文本的概率，值越大，框中是文本的概率就越大。存在漏检时，调低该值。取值范围：[0, 1.0]'),
  gr.Slider(minimum=1.5, maximum=2.0, value=1.6,
- label='unclip_ratio', step=0.1),
+ label='unclip_ratio', step=0.1,
+ info='控制文本检测框的大小，值越大，检测框整体越大。在出现框截断文字的情况，调大该值。取值范围：[1.5, 2.0]'),
  gr.Slider(minimum=0, maximum=1.0, value=0.5,
- label='text_score', step=0.1),
+ label='text_score', step=0.1,
+ info='文本识别结果是正确的置信度，值越大，显示出的识别结果更准确。存在漏检时，调低该值。取值范围：[0, 1.0]'),
  ],
  outputs=[
  gr.outputs.Image(type='filepath', label='Output_image'),

requirements.txt

@@ -1,3 +1,3 @@
 Gradio==3.14.0
 Pillow
-rapidocr_onnxruntime==1.1.20
+rapidocr_onnxruntime