修改了页面布局

app.py

@@ -266,9 +266,12 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=2):
             statistics_textbox = gr.DataFrame()
+            hr_line = gr.HTML('<hr style="border: 1px solid black;">')
+            question_info_textbox_p1 = gr.DataFrame()
+            question_info_textbox_p2 = gr.DataFrame()
         with gr.Column(scale=3):
             plot = gr.Plot()
-    question_info_textbox = gr.DataFrame()
+            
     with gr.Row():
         user_input_box = gr.Textbox(label="question", interactive=False)
         user_output_box = gr.Textbox(label="answer", interactive=False)
@@ -276,16 +279,17 @@ with gr.Blocks() as demo:
     #                   "statistics_textbox": statistics_textbox,
     #                   "user_input_box": user_input_box,
     #                   "plot": plot})
+    hr_line_ = gr.HTML('<hr style="border: 2px dashed black;">')
     with gr.Row():
         with gr.Column(scale=1):
             choose_retain = gr.Dropdown(["delete", "retain", "modify"], label="Choose to retain or delete or modify", interactive=True)
         with gr.Column(scale=2):
             choose_retain_reason_box = gr.Textbox(label="Reason", placeholder="Enter your reason", interactive=True)
-    score_slider = gr.Slider(1, 5, 1, step=0.5, label="Score for answer", interactive=True)
+    score_slider = gr.Slider(1, 5, 1, step=1, label="Score for answer", interactive=True)
     with gr.Row():
         with gr.Column(scale=2):
-            user_submit_button = gr.Button("submit", interactive=True)
             user_name_box = gr.Textbox(label="user_name", placeholder="Enter your name firstly", interactive=True)
+            user_submit_button = gr.Button("submit", interactive=True)
         with gr.Column(scale=1):
             submit_info_box = gr.Textbox(label="submit_info", interactive=False)
     with gr.Row():
@@ -311,7 +315,8 @@ with gr.Blocks() as demo:
                 ret[plot] = gr.update(value=create_plot(df_list, id_list))
             elif dataset == BENCHMARK_DATASET:
                 df, max_page, info = get_page(dataset, config, split, page)
-                question_info = get_question_info(df)
+                question_info_p1 = get_question_info(df, [COLUMN_DOMAIN, COLUMN_SOURCE])
+                question_info_p2 = get_question_info(df, [COLUMN_QA_TYPE, COLUMN_TASK_TYPE])
                 ret[qusetion_id_box] = gr.update(value = df[COLUMN_ID][0])
                 
                 lotsa_config, lotsa_page = str(df[COLUMN_SOURCE][0]).split('/')[-1], eval(df[COLUMN_TS_ID][0])
@@ -322,7 +327,8 @@ with gr.Blocks() as demo:
                 lotsa_subtargets = eval(df[COLUMN_TARGET_ID][0])
                 df_list, id_list = process_salesforce_data(TARGET_DATASET, lotsa_config, lotsa_split, lotsa_page, lotsa_subtargets)
                 
-                ret[question_info_textbox] = gr.update(value=question_info)
+                ret[question_info_textbox_p1] = gr.update(value=question_info_p1)
+                ret[question_info_textbox_p2] = gr.update(value=question_info_p2)
                 ret[statistics_textbox] = gr.update(value=create_statistic(df_list, id_list, interval=interval))
                 ret[plot] = gr.update(value=create_plot(df_list, id_list, interval=interval))
                 ret[user_input_box] = gr.update(value=df[COLUMN_QUESTION][0])
@@ -399,7 +405,7 @@ with gr.Blocks() as demo:
                    qusetion_id_box,
                    user_input_box, user_output_box,
                    submit_info_box,
-                   question_info_textbox]
+                   question_info_textbox_p1, question_info_textbox_p2]
     
     cp_go.click(show_dataset, inputs=[cp_dataset], outputs=all_outputs)
     cp_config.change(show_dataset_at_config, inputs=[cp_dataset, cp_config], outputs=all_outputs)
@@ -413,10 +419,11 @@ with gr.Blocks() as demo:
 if __name__ == "__main__":
 
     app = gr.mount_gradio_app(app, demo, path="/")
-    host = "127.0.0.1" if os.getenv("DEV") else "0.0.0.0"
+    # host = "127.0.0.1" if os.getenv("DEV") else "0.0.0.0"
+    host = "0.0.0.0"
     # import subprocess
     # subprocess.Popen(["python", "test_server.py"])
-    uvicorn.run(app, host=host, port=7860)
+    uvicorn.run(app, host=host, port=5001)
 
 #// 对一下数据 --
 #// 部署到服务器上

utils.py

@@ -141,11 +141,13 @@ def clean_up_df(df: pd.DataFrame, rows_to_include: list[int], name_mapping_map:d
         df.drop(columns=['past_feat_dynamic_real'], inplace=True)
     return df
 
-def get_question_info(df: pd.DataFrame) -> pd.DataFrame:
+def get_question_info(df: pd.DataFrame, info_columns:list|None=None) -> pd.DataFrame:
     """
     从数据集中提取问题信息。
     """
-    question_info = df[[COLUMN_DOMAIN, COLUMN_SOURCE, COLUMN_QA_TYPE, COLUMN_TASK_TYPE]]
+    if info_columns is None:
+        info_columns = [COLUMN_DOMAIN, COLUMN_SOURCE, COLUMN_QA_TYPE, COLUMN_TASK_TYPE]
+    question_info = df[info_columns]
     question_info = question_info.drop_duplicates()
     return question_info