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Runtime error
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3623cb1
1
Parent(s):
82ffe6f
Update app.py
Browse files
app.py
CHANGED
@@ -18,10 +18,12 @@ generate_prompt = 'please generate {generate_number} difficult multiple-choice q
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'question according the paragraph below. Each question should have four choices and only one of them ' \
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'is the right answer.' \
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correct_prompt = 'the following paragraph is a composition of a student. ' \
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llm_name_dict = {'chatgpt-3.5': 'OpenAI3', 'chatgpt-4': 'OpenAI4', 'chatglm—6b': 'ChatGLM'}
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@@ -50,7 +52,7 @@ def llm_change(name):
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def text_generate(chatbot, text, generate_number, llm):
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prompt = eval('f"' + generate_prompt + '"') + '\n\n' + text
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answer = llm(prompt)
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chatbot = chatbot + [[text, answer]]
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return chatbot
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@@ -60,7 +62,7 @@ def files_generate(chatbot, files_list, generate_number, llm):
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try:
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texts = files_list_to_texts(files_list)
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for text in texts:
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prompt = eval('f"' + generate_prompt + '"') + '\n\n' + text
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answer = llm(prompt)
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chatbot = chatbot + [[text, answer]]
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except:
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@@ -68,20 +70,23 @@ def files_generate(chatbot, files_list, generate_number, llm):
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return chatbot
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def text_correct(chatbot,
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answer =
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return chatbot
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def files_correct(chatbot, files_list, llm):
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try:
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for
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prompt = correct_prompt + '\n\n' +
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chatbot = chatbot + [[
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except:
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chatbot = chatbot + [[None, f"所选文件夹中的文件添加失败,请确保文件夹中含有txt类型文件"]]
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return chatbot
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@@ -154,10 +159,16 @@ with gr.Blocks(css=block_css) as demo:
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with gr.Tab('批改配置'):
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gr.Markdown(f'单篇批改')
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gr.Markdown(f'批量批改')
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folder_address = gr.File(label="添加文件",
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@@ -166,7 +177,8 @@ with gr.Blocks(css=block_css) as demo:
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show_label=False
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)
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file_button = gr.Button(value="批改")
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file_button.click(fn=files_correct, inputs=[chatbot, folder_address, llm],
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demo.queue(concurrency_count=5).launch()
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'question according the paragraph below. Each question should have four choices and only one of them ' \
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'is the right answer.' \
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# correct_prompt = 'the following paragraph is a composition of a student. ' \
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# 'please first judge the writing level of the composition, ' \
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# 'then point out the all the problems with examples, ' \
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# 'and finally output the complete revised version.'
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correct_prompt = '你是一个英语老师,现在正在批改学生的英语作文。你会用中文说明并逐一标记出每个英语语法错误,并且说明如何改正;最后,给出完整的正确作文。'
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llm_name_dict = {'chatgpt-3.5': 'OpenAI3', 'chatgpt-4': 'OpenAI4', 'chatglm—6b': 'ChatGLM'}
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def text_generate(chatbot, text, generate_number, llm):
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prompt = eval('f"' + generate_prompt + '"') + '\n\nstop\n\n' + text
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answer = llm(prompt)
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chatbot = chatbot + [[text, answer]]
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return chatbot
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try:
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texts = files_list_to_texts(files_list)
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for text in texts:
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prompt = eval('f"' + generate_prompt + '"') + '\n\nstop\n\n' + text
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answer = llm(prompt)
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chatbot = chatbot + [[text, answer]]
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except:
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return chatbot
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def text_correct(chatbot, require_texts, feedback_texts, llm):
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req = '写作要求为:\n' + require_texts
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answer = '学生的作文内容为:\n' + feedback_texts
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prompt = correct_prompt + req + '\n\nstop\n\n' + answer
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response = llm(prompt)
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chatbot = chatbot + [[answer, response]]
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return chatbot
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def files_correct(chatbot, require_texts, files_list, llm):
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req = '写作要求为:\n' + require_texts
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try:
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answers = files_list_to_texts(files_list)
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for answer in answers:
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prompt = correct_prompt + req + '\n\nstop\n\n' + '学生的作文内容为:\n' + answer
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response = llm(prompt)
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chatbot = chatbot + [['学生的作文内容为:\n' + answer, response]]
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except:
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chatbot = chatbot + [[None, f"所选文件夹中的文件添加失败,请确保文件夹中含有txt类型文件"]]
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return chatbot
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with gr.Tab('批改配置'):
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gr.Markdown(f'写作要求')
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require_texts = gr.Textbox(show_label=False, placeholder="文本内容", lines=4).style(container=False)
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# require_texts_button = gr.Button(value="批改")
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# require_texts_button.click(fn=text_correct, inputs=[chatbot, texts, llm], outputs=[chatbot])
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gr.Markdown(f'单篇批改')
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feedback_texts = gr.Textbox(show_label=False, placeholder="文本内容", lines=12).style(container=False)
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feedback_button = gr.Button(value="批改")
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feedback_button.click(fn=text_correct, inputs=[chatbot, require_texts, feedback_texts, llm],
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outputs=[chatbot])
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gr.Markdown(f'批量批改')
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folder_address = gr.File(label="添加文件",
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show_label=False
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)
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file_button = gr.Button(value="批改")
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file_button.click(fn=files_correct, inputs=[chatbot, require_texts, folder_address, llm],
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outputs=[chatbot])
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demo.queue(concurrency_count=5).launch(share=True)
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