更新依赖

app.py

@@ -71,8 +71,9 @@ def generate_mock_data(_topic, _stand_file_path, _rewrite_prompt, _generate_num,
         return _chatbot, scores_and_comments, stand_file, gr.update(visible=True), gr.update(visible=True)
 
     except Exception as e:
-        _chatbot = _chatbot + [[None, e]]
-        return _chatbot, gr.Json(visible=False), gr.DataFrame(visible=False), gr.update(visible=False), \
+        message = '模拟测评生成失败，原因是：' + str(e) + '\n\n'
+        _chatbot = _chatbot + [[None, message]]
+        return _chatbot, dict(), pd.DataFrame(), gr.update(visible=False), \
                gr.update(visible=False)
 
 
@@ -80,9 +81,9 @@ def rewrite(standard_file, rewrite_prompt, topic, assessments, chatbot):
     try:
         rewrite_comment = medium_score_rewrite(standard_file, rewrite_prompt, topic, assessments)
         rewrite_comment = generate_comment_post_process(rewrite_comment)
-        message = '上述评价按照中位法则改写结果如下：\n\n' + rewrite_comment
+        message = '上述评价按照中位法改写结果如下：\n\n' + rewrite_comment
     except Exception as e:
-        message = e
+        message = '中位法改写失败，原因是：' + str(e) + '\n\n'
     chatbot = chatbot + [[None, message]]
     return chatbot
 
@@ -91,9 +92,9 @@ def summary(summary_prompt, assessments, chatbot):
     try:
         summary_comment = quantile_summary(summary_prompt, assessments)
         summary_comment = generate_comment_post_process(summary_comment)
-        message = '上述评价按照四分位法则改写结果如下：\n\n' + summary_comment
+        message = '上述评价按照四分位法摘要结果如下：\n\n' + summary_comment
     except Exception as e:
-        message = e
+        message = '四分位法摘要生成失败，原因是：' + str(e) + '\n\n'
     chatbot = chatbot + [[None, message]]
     return chatbot
 
@@ -115,14 +116,14 @@ with gr.Blocks(css=block_css) as demo:
         # model_name.change(fn=llm_change, inputs=[model_name], outputs=[llm])
         stand_file_path = gr.Textbox('指标评价标准.xlsx', label='请输入评价标准文件路径')
         stand_comment = gr.DataFrame(visible=False)
-        r_prompt = """尖括号里面的内容是对关于{topic}知识点教学设计的评价，但是该评价语言没有结合{topic}这个主题，请结合{topic}这个主题对该评价进行修改，修改后每句话都要体现{topic}这个主题且保持评价角度及正负性不变，但是从文字上看更像是专门针对{topic}这个主题做的评价。
+        r_prompt = """The content within the angle brackets is an evaluation of the instructional design regarding the {topic} knowledge point. However, the evaluation does not incorporate the {topic} theme. Please modify the evaluation by incorporating the {topic} theme in each sentence while maintaining the same evaluative perspective and positive/negative nature. The modified evaluation should appear to be specifically targeted towards the {topic} theme.
         <{stand_comment}>
         """
         r_prompt = gr.Text(value=r_prompt, label='请配置改写prompt', lines=3)
 
         s_prompt = """尖括号里面的内容是多位老师对某堂课的教学评价，每位老师的评价用换行符进行了分隔，请对各位老师的评价进行摘要总结
-                     '<{comment}>'
-                     """
+        '<{comment}>'
+         """
         s_prompt = gr.Text(value=s_prompt, label='请配置摘要prompt', lines=3)
         with gr.Row():
             with gr.Column(scale=2):
@@ -138,7 +139,7 @@ with gr.Blocks(css=block_css) as demo:
                 topic = gr.Textbox('升华和凝华', label='请输入讲课主题')
 
                 # data_out_path = gr.Textbox('', label='请输入模拟数据导出路径')
-                generate_num = gr.Slider(1, 10, value=2, step=1, label="评课人数量", interactive=True)
+                generate_num = gr.Slider(1, 20, value=3, step=1, label="评课人数量", interactive=True)
                 mock_data = gr.Json(visible=False)
 
                 with gr.Row():

requirements.txt

@@ -2,3 +2,4 @@ requests~=2.28.2
 pandas~=1.5.3
 gradio~=3.27.0
 numpy~=1.22.3
+openpyxl