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| # AI Meeting note parser | |
| # Author：Alec Li | |
| # Date：2024-01-26 | |
| # Location: Richmond Hospital Canada | |
| import os | |
| os.system("sudo apt-get install xclip") | |
| import gradio as gr | |
| import nltk | |
| import pyclip | |
| import pytesseract | |
| from nltk.tokenize import sent_tokenize | |
| from transformers import MarianMTModel, MarianTokenizer | |
| import openai | |
| nltk.download('punkt') | |
| OCR_TR_DESCRIPTION = ''' | |
| <div id="content_align"> | |
| <span style="color:darkred;font-size:32px;font-weight:bold"> | |
| EPF壹平台-模多多会议记录总结神器 | |
| </span> | |
| </div> | |
| <div id="content_align"> | |
| <span style="color:blue;font-size:16px;font-weight:bold"> | |
| 会议记录拍照/文本录入 -> 转文字 -> 翻译 -> 提炼会议纪要 -> 识别待办事项 -> 分配任务 | |
| </div> | |
| <div id="content_align" style="margin-top: 10px;"> | |
| 作者: Dr. Alec Li | |
| </div> | |
| ''' | |
| # Image path | |
| img_dir = "./data" | |
| # Get tesseract language list | |
| choices = os.popen('tesseract --list-langs').read().split('\n')[1:-1] | |
| # Translation model selection | |
| def model_choice(src="en", trg="zh"): | |
| # https://huggingface.co/Helsinki-NLP/opus-mt-zh-en | |
| # https://huggingface.co/Helsinki-NLP/opus-mt-en-zh | |
| model_name = f"Helsinki-NLP/opus-mt-{src}-{trg}" # Model name | |
| tokenizer = MarianTokenizer.from_pretrained(model_name) # Tokenizer | |
| model = MarianMTModel.from_pretrained(model_name) # model | |
| return tokenizer, model | |
| # Convert tesseract language list to pytesseract language | |
| def ocr_lang(lang_list): | |
| lang_str = "" | |
| lang_len = len(lang_list) | |
| if lang_len == 1: | |
| return lang_list[0] | |
| else: | |
| for i in range(lang_len): | |
| lang_list.insert(lang_len - i, "+") | |
| lang_str = "".join(lang_list[:-1]) | |
| return lang_str | |
| #import pytesseract | |
| # Set Tesseract executable path in Colab virtal environment | |
| #pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract" | |
| # Set up the Tesseract data directory | |
| #os.environ["TESSDATA_PREFIX"] = "/usr/share/tesseract-ocr/4.00/tessdata" | |
| #def ocr_tesseract(img, languages): | |
| # custom_config = f'--oem 3 --psm 6 -l {ocr_lang(languages)}' | |
| # ocr_str = pytesseract.image_to_string(img, config=custom_config) | |
| # return ocr_str | |
| # ocr tesseract | |
| def ocr_tesseract(img, languages): | |
| ocr_str = pytesseract.image_to_string(img, lang=ocr_lang(languages)) | |
| return ocr_str | |
| # Clear content | |
| def clear_content(): | |
| return None | |
| # copy to clipboard | |
| def cp_text(input_text): | |
| # sudo apt-get install xclip | |
| try: | |
| pyclip.copy(input_text) | |
| except Exception as e: | |
| print("sudo apt-get install xclip") | |
| print(e) | |
| # 清除剪贴板 | |
| def cp_clear(): | |
| pyclip.clear() | |
| # 翻译 | |
| def translate(input_text, inputs_transStyle): | |
| # 参考：https://huggingface.co/docs/transformers/model_doc/marian | |
| if input_text is None or input_text == "": | |
| return "System prompt: There is no content to translate!" | |
| # 选择翻译模型 | |
| trans_src, trans_trg = inputs_transStyle.split("-")[0], inputs_transStyle.split("-")[1] | |
| tokenizer, model = model_choice(trans_src, trans_trg) | |
| translate_text = "" | |
| input_text_list = input_text.split("\n\n") | |
| translate_text_list_tmp = [] | |
| for i in range(len(input_text_list)): | |
| if input_text_list[i] != "": | |
| translate_text_list_tmp.append(input_text_list[i]) | |
| for i in range(len(translate_text_list_tmp)): | |
| translated_sub = model.generate( | |
| **tokenizer(sent_tokenize(translate_text_list_tmp[i]), return_tensors="pt", truncation=True, padding=True)) | |
| tgt_text_sub = [tokenizer.decode(t, skip_special_tokens=True) for t in translated_sub] | |
| translate_text_sub = "".join(tgt_text_sub) | |
| translate_text = translate_text + "\n\n" + translate_text_sub | |
| return translate_text[2:] | |
| # 在 https://platform.openai.com/signup 注册并获取 API 密钥 | |
| openai.api_key = os.getenv('OPENAI_API_KEY') | |
| def generate_summary(text_input): | |
| response = openai.ChatCompletion.create( | |
| model="gpt-3.5-turbo", | |
| messages=[ | |
| {"role": "system", "content": "你是一个非常能干的办公助手. 请把会议记录再此总结成会议纪要，根据时间线详细识别出不同的会议主题，并进行总结。 请识别出待办事项，并根据时间点进行任务分配，并在最后总结出决策点给领导决策。"}, | |
| {"role": "user", "content": text_input} | |
| ] | |
| ) | |
| summary = response["choices"][0]["message"]["content"].strip() | |
| return summary | |
| def main(): | |
| with gr.Blocks(css='style.css') as ocr_tr: | |
| gr.Markdown(OCR_TR_DESCRIPTION) | |
| # -------------- OCR 文字提取 -------------- | |
| with gr.Column(): | |
| with gr.Row(): | |
| gr.Markdown("### Step 01: 文本抽取") | |
| # Add a text box for direct input of text | |
| with gr.Row(): | |
| inputs_direct_text = gr.Textbox(label="直接输入文本", lines=5) | |
| with gr.Row(): | |
| with gr.Row(): | |
| # Button to generate summary from directly input text | |
| generate_direct_summary_btn = gr.Button('生成概要', variant="primary") | |
| with gr.Row(): | |
| clear_direct_summary_btn = gr.Button('清除概要') | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| inputs_img = gr.Image(image_mode="RGB", type="pil", label="image") | |
| with gr.Row(): | |
| inputs_lang = gr.CheckboxGroup(choices=["chi_sim", "eng"], | |
| type="value", | |
| value=['eng'], | |
| label='language') | |
| with gr.Row(): | |
| clear_img_btn = gr.Button('清除') | |
| ocr_btn = gr.Button(value='图片文本抽取', variant="primary") | |
| with gr.Column(): | |
| with gr.Row(): | |
| outputs_text = gr.Textbox(label="抽取的文本", lines=20) | |
| with gr.Row(): | |
| inputs_transStyle = gr.Radio(choices=["zh-en", "en-zh"], | |
| type="value", | |
| value="zh-en", | |
| label='翻译模式') | |
| with gr.Row(): | |
| clear_text_btn = gr.Button('清除') | |
| translate_btn = gr.Button(value='翻译', variant="primary") | |
| # Add a text box to display the generated summary | |
| with gr.Row(): | |
| outputs_summary_text = gr.Textbox(label="生成的摘要", lines=20) | |
| with gr.Row(): | |
| with gr.Row(): | |
| generate_summary_btn = gr.Button('生成摘要', variant="primary") | |
| with gr.Row(): | |
| clear_summary_btn = gr.Button('清除摘要') | |
| with gr.Row(): | |
| example_list = [["./data/test.png", ["eng"]], ["./data/test02.png", ["eng"]], | |
| ["./data/test03.png", ["chi_sim"]]] | |
| gr.Examples(example_list, [inputs_img, inputs_lang], outputs_text, ocr_tesseract, cache_examples=False) | |
| # -------------- 翻译 -------------- | |
| with gr.Column(): | |
| with gr.Row(): | |
| gr.Markdown("### Step 02: 翻译") | |
| with gr.Row(): | |
| outputs_tr_text = gr.Textbox(label="Translate Content", lines=20) | |
| with gr.Row(): | |
| cp_clear_btn = gr.Button(value='清除剪贴板') | |
| cp_btn = gr.Button(value='复制到剪贴板', variant="primary") | |
| # ---------------------- OCR Tesseract ---------------------- | |
| ocr_btn.click(fn=ocr_tesseract, inputs=[inputs_img, inputs_lang], outputs=[ | |
| outputs_text,]) | |
| clear_img_btn.click(fn=clear_content, inputs=[], outputs=[inputs_img]) | |
| # ---------------------- Direct Text Summarization ---------------------- | |
| generate_direct_summary_btn.click(fn=generate_summary, inputs=[inputs_direct_text], | |
| outputs=[outputs_summary_text]) | |
| clear_direct_summary_btn.click(fn=clear_content, inputs=[], outputs=[inputs_direct_text, outputs_summary_text]) | |
| # ---------------------- Summarization ---------------------- | |
| # To update the click event of the button, use generate_summary directly | |
| generate_summary_btn.click(fn=generate_summary, inputs=[outputs_text], | |
| outputs=[outputs_summary_text]) | |
| clear_summary_btn.click(fn=clear_content, inputs=[], outputs=[outputs_summary_text]) | |
| # ---------------------- Translate ---------------------- | |
| translate_btn.click(fn=translate, inputs=[outputs_text, inputs_transStyle], outputs=[outputs_tr_text]) | |
| clear_text_btn.click(fn=clear_content, inputs=[], outputs=[outputs_text]) | |
| # ---------------------- Copy to clipboard ---------------------- | |
| cp_btn.click(fn=cp_text, inputs=[outputs_tr_text], outputs=[]) | |
| cp_clear_btn.click(fn=cp_clear, inputs=[], outputs=[]) | |
| ocr_tr.launch(inbrowser=True) | |
| if __name__ == '__main__': | |
| main() | |