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| # import gradio as gr | |
| # import json, os | |
| # import urllib.request | |
| # # Replace 'YOUR_API_KEY' with your actual YouTube Data API key | |
| # API_KEY = os.getenv('api_key') | |
| # def get_youtube_id(youtube_url): | |
| # if 'youtube.com' in youtube_url: | |
| # video_id = youtube_url.split('v=')[-1] | |
| # elif 'youtu.be' in youtube_url: | |
| # video_id = youtube_url.split('/')[-1].split('?')[0] | |
| # return video_id | |
| # def check_cc_license(youtube_url): | |
| # # Extract video ID from the URL | |
| # video_id = get_youtube_id(youtube_url) | |
| # # YouTube Data API URL to get video details | |
| # api_url = f'https://www.googleapis.com/youtube/v3/videos?id={video_id}&part=status&key={API_KEY}' | |
| # try: | |
| # # Fetch video details | |
| # response = urllib.request.urlopen(api_url) | |
| # data = json.load(response) | |
| # # Check the license status | |
| # for item in data['items']: | |
| # if item['status']['license'] == 'creativeCommon': | |
| # return f"Yes." | |
| # else: | |
| # return f"No." | |
| # except Exception as e: | |
| # return f"An error occurred: {str(e)}" | |
| # # Gradio interface | |
| # interface = gr.Interface( | |
| # fn=check_cc_license, | |
| # inputs=gr.Textbox(label="YouTube Video URL"), | |
| # outputs=gr.Textbox(label="Creative Commons license?") | |
| # ) | |
| # if __name__ == "__main__": | |
| # interface.launch() | |
| # import gradio as gr | |
| # import asyncio | |
| # import os | |
| # from openai import AsyncOpenAI | |
| # # 从您的模块中导入必要的函数 | |
| # from utils.generate_distractors import prepare_q_inputs, construct_prompt_textonly, generate_distractors | |
| # from utils.api_utils import generate_from_openai_chat_completion | |
| # # 修改generate_distractors函数，使其成为异步函数 | |
| # # 假设generate_distractors函数定义在您的模块中，我们需要修改它 | |
| # # 如果无法修改原始模块，请在此处重新定义 | |
| # async def generate_distractors_async(model_name: str, | |
| # queries: list, | |
| # n: int=1, | |
| # max_tokens: int=4096): | |
| # assert model_name in ["gpt-4o-mini", "gpt-4-turbo", "gpt-4o", "gpt-4o-2024-08-06"], "Invalid model name" | |
| # client = AsyncOpenAI(api_key=os.environ.get("OPENAI_API_KEY"), base_url="https://yanlp.zeabur.app/v1") | |
| # messages = prepare_q_inputs(queries) | |
| # # 直接等待协程而不是使用asyncio.run() | |
| # responses = await generate_from_openai_chat_completion( | |
| # client, | |
| # messages=messages, | |
| # engine_name=model_name, | |
| # n=n, | |
| # max_tokens=max_tokens, | |
| # requests_per_minute=30, | |
| # json_format=True | |
| # ) | |
| # for query, response in zip(queries, responses): | |
| # new_options = response | |
| # if new_options and "distractors" in new_options: | |
| # query["option_5"] = new_options["distractors"].get("E", "") | |
| # query["option_6"] = new_options["distractors"].get("F", "") | |
| # query["option_7"] = new_options["distractors"].get("G", "") | |
| # query["distractor_analysis"] = new_options["distractors"].get("analysis_of_distractors", "") | |
| # else: | |
| # query["option_5"] = "" | |
| # query["option_6"] = "" | |
| # query["option_7"] = "" | |
| # query["distractor_analysis"] = "" | |
| # return queries | |
| # # 定义异步处理函数 | |
| # async def generate_distractors_gradio(question, option1, option2, option3, option4, answer, answer_analysis): | |
| # query = { | |
| # 'question': question, | |
| # 'option_1': option1, | |
| # 'option_2': option2, | |
| # 'option_3': option3, | |
| # 'option_4': option4, | |
| # 'answer': answer, | |
| # 'answer_analysis': answer_analysis | |
| # } | |
| # queries = [query] # 因为函数期望的是一个列表 | |
| # # 调用异步生成干扰项的函数 | |
| # results = await generate_distractors_async( | |
| # model_name="gpt-4o-mini", | |
| # queries=queries, | |
| # n=1, | |
| # max_tokens=4096 | |
| # ) | |
| # # 提取结果 | |
| # result = results[0] | |
| # new_options = { | |
| # 'E': result.get('option_5', ''), | |
| # 'F': result.get('option_6', ''), | |
| # 'G': result.get('option_7', '') | |
| # } | |
| # distractor_analysis = result.get('distractor_analysis', '') | |
| # # 返回新的干扰项和分析 | |
| # return new_options, distractor_analysis | |
| # # 创建Gradio界面 | |
| # with gr.Blocks() as demo: | |
| # gr.Markdown("# 多项选择题干扰项生成器") | |
| # with gr.Row(): | |
| # question_input = gr.Textbox(label="问题", lines=2) | |
| # with gr.Row(): | |
| # option1_input = gr.Textbox(label="选项A") | |
| # option2_input = gr.Textbox(label="选项B") | |
| # with gr.Row(): | |
| # option3_input = gr.Textbox(label="选项C") | |
| # option4_input = gr.Textbox(label="选项D") | |
| # with gr.Row(): | |
| # answer_input = gr.Textbox(label="正确答案") | |
| # with gr.Row(): | |
| # answer_analysis_input = gr.Textbox(label="答案解析", lines=3) | |
| # with gr.Row(): | |
| # generate_button = gr.Button("生成干扰项") | |
| # with gr.Row(): | |
| # output_options = gr.JSON(label="生成的干扰选项") | |
| # with gr.Row(): | |
| # output_analysis = gr.Textbox(label="干扰项解析", lines=5) | |
| # # 定义按钮点击事件，注意这里不需要修改，Gradio会自动处理异步函数 | |
| # generate_button.click( | |
| # fn=generate_distractors_gradio, | |
| # inputs=[question_input, option1_input, option2_input, option3_input, option4_input, answer_input, answer_analysis_input], | |
| # outputs=[output_options, output_analysis] | |
| # ) | |
| # # 运行Gradio应用 | |
| # demo.launch() | |
| import gradio as gr | |
| import asyncio | |
| import os | |
| import json | |
| import urllib.request | |
| from openai import AsyncOpenAI | |
| # 第一个功能：检查YouTube视频是否具有Creative Commons许可证 | |
| # 请确保在环境变量中设置了您的YouTube Data API密钥 | |
| API_KEY = "AIzaSyDyPpkFRUpUuSMQbhxwTFxCBLK5qTHU-ms" | |
| os.environ["OPENAI_API_KEY"] = "sk-h8rybT55JORrT40y2397A06c8f2444F8Ad49407fE85eBf76" | |
| def get_youtube_id(youtube_url): | |
| if 'youtube.com' in youtube_url: | |
| video_id = youtube_url.split('v=')[-1] | |
| video_id = video_id.split('&')[0] # 移除可能的额外参数 | |
| elif 'youtu.be' in youtube_url: | |
| video_id = youtube_url.split('/')[-1].split('?')[0] | |
| else: | |
| video_id = '' | |
| return video_id | |
| def check_cc_license(youtube_url): | |
| # 从URL中提取视频ID | |
| video_id = get_youtube_id(youtube_url) | |
| if not video_id: | |
| return "Invalid YouTube URL." | |
| # YouTube Data API URL，用于获取视频详情 | |
| api_url = f'https://www.googleapis.com/youtube/v3/videos?id={video_id}&part=status&key={API_KEY}' | |
| try: | |
| # 获取视频详情 | |
| response = urllib.request.urlopen(api_url) | |
| data = json.load(response) | |
| # 检查许可证状态 | |
| if 'items' in data and len(data['items']) > 0: | |
| item = data['items'][0] | |
| if item['status']['license'] == 'creativeCommon': | |
| return "Yes." | |
| else: | |
| return "No." | |
| else: | |
| return "Video not found." | |
| except Exception as e: | |
| return f"An error occurred: {str(e)}" | |
| # 第二个功能：为多项选择题生成干扰项 | |
| # 从您的模块中导入必要的函数 | |
| from utils.generate_distractors import prepare_q_inputs, construct_prompt_textonly, generate_distractors | |
| from utils.api_utils import generate_from_openai_chat_completion | |
| # 修改generate_distractors函数，使其成为异步函数 | |
| # 假设generate_distractors函数定义在您的模块中，我们需要修改它 | |
| # 如果无法修改原始模块，请在此处重新定义 | |
| async def generate_distractors_async(model_name: str, | |
| queries: list, | |
| n: int=1, | |
| max_tokens: int=4096): | |
| assert model_name in ["gpt-4o-mini", "gpt-4-turbo", "gpt-4o", "gpt-4o-2024-08-06"], "Invalid model name" | |
| client = AsyncOpenAI(api_key=os.environ.get("OPENAI_API_KEY"), base_url="https://yanlp.zeabur.app/v1") | |
| messages = prepare_q_inputs(queries) | |
| # 直接等待协程而不是使用asyncio.run() | |
| responses = await generate_from_openai_chat_completion( | |
| client, | |
| messages=messages, | |
| engine_name=model_name, | |
| n=n, | |
| max_tokens=max_tokens, | |
| requests_per_minute=30, | |
| json_format=True | |
| ) | |
| for query, response in zip(queries, responses): | |
| new_options = response | |
| if new_options and "distractors" in new_options: | |
| query["option_5"] = new_options["distractors"].get("E", "") | |
| query["option_6"] = new_options["distractors"].get("F", "") | |
| query["option_7"] = new_options["distractors"].get("G", "") | |
| query["distractor_analysis"] = new_options["distractors"].get("analysis_of_distractors", "") | |
| else: | |
| query["option_5"] = "" | |
| query["option_6"] = "" | |
| query["option_7"] = "" | |
| query["distractor_analysis"] = "" | |
| return queries | |
| # 定义异步处理函数 | |
| async def generate_distractors_gradio(question, option1, option2, option3, option4, answer, answer_analysis): | |
| query = { | |
| 'question': question, | |
| 'option_1': option1, | |
| 'option_2': option2, | |
| 'option_3': option3, | |
| 'option_4': option4, | |
| 'answer': answer, | |
| 'answer_analysis': answer_analysis | |
| } | |
| queries = [query] # 因为函数期望的是一个列表 | |
| # 调用异步生成干扰项的函数 | |
| results = await generate_distractors_async( | |
| model_name="gpt-4o-mini", | |
| queries=queries, | |
| n=1, | |
| max_tokens=4096 | |
| ) | |
| # 提取结果 | |
| result = results[0] | |
| new_options = { | |
| 'E': result.get('option_5', ''), | |
| 'F': result.get('option_6', ''), | |
| 'G': result.get('option_7', '') | |
| } | |
| distractor_analysis = result.get('distractor_analysis', '') | |
| # 返回新的干扰项和分析 | |
| return new_options, distractor_analysis | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# CC检查器和干扰项生成器") | |
| with gr.Tabs(): | |
| with gr.TabItem("YouTube Creative Commons检查器"): | |
| gr.Markdown("## 检查YouTube视频是否具有Creative Commons许可证") | |
| youtube_url_input = gr.Textbox(label="YouTube视频URL") | |
| cc_license_output = gr.Textbox(label="是否为Creative Commons许可证？") | |
| check_button = gr.Button("检查许可证") | |
| check_button.click( | |
| fn=check_cc_license, | |
| inputs=youtube_url_input, | |
| outputs=cc_license_output | |
| ) | |
| with gr.TabItem("多项选择题干扰项生成器"): | |
| gr.Markdown("## 为多项选择题生成干扰项") | |
| with gr.Row(): | |
| question_input = gr.Textbox(label="问题", lines=2) | |
| with gr.Row(): | |
| option1_input = gr.Textbox(label="选项A") | |
| option2_input = gr.Textbox(label="选项B") | |
| with gr.Row(): | |
| option3_input = gr.Textbox(label="选项C") | |
| option4_input = gr.Textbox(label="选项D(可以输入也可以不输入)") | |
| with gr.Row(): | |
| answer_input = gr.Textbox(label="正确答案（A/B/C/D）") | |
| with gr.Row(): | |
| answer_analysis_input = gr.Textbox(label="答案解析", lines=3) | |
| generate_button = gr.Button("生成干扰项") | |
| output_options = gr.JSON(label="生成的干扰选项") | |
| output_analysis = gr.Textbox(label="干扰项解析", lines=5) | |
| generate_button.click( | |
| fn=generate_distractors_gradio, | |
| inputs=[question_input, option1_input, option2_input, option3_input, option4_input, answer_input, answer_analysis_input], | |
| outputs=[output_options, output_analysis] | |
| ) | |
| # 运行Gradio应用 | |
| demo.launch() | |