make simple ux

app.py

@@ -5,7 +5,7 @@ with gr.Blocks() as demo:
     dataset_df = {}
     state = gr.State(value=0)
     with gr.Row():
-        gr.Markdown("# Distributed Evaluation Parallel 😎")
+        gr.Markdown("# Evaluation 😎")
     with gr.Row():
         file = gr.File(label="Upload a file")
         prev = gr.Button(value="Previous")
@@ -40,7 +40,6 @@ with gr.Blocks() as demo:
 
     def next_func(score):
         df_dict = dataset_df['df_dict']
-        df_dict[state.value]['score'] = score
         state.value = min(state.value + 1, len(dataset_df['df']) - 1)
         score = df_dict[state.value]['score']
         gr.Info(f"총 {len(dataset_df['df'])}개 중에 {state.value + 1}번째 데이터입니다.")
@@ -56,9 +55,18 @@ with gr.Blocks() as demo:
         todos = df[df.score.isna()]
         done = df[df.score.isna() == False]
         return q, g, p, todos, done, "data_backup.csv"
+
     file.upload(csv2df, file, [question, ground_truth, prediction, todos, done, download])
     prev.click(prev_func, [score], [question, ground_truth, prediction, todos, done, download, score])
     next.click(next_func, [score], [question, ground_truth, prediction, todos, done, download, score])
+    def select_func(request: gr.Request, evt: gr.SelectData):
+        df_dict = dataset_df['df_dict']
+        df_dict[state.value]['score'] = evt.value
+        state.value = min(state.value + 1, len(dataset_df['df']) - 1)
+        score = df_dict[state.value]['score']
+        gr.Info(f"총 {len(dataset_df['df'])}개 중에 {state.value + 1}번째 데이터입니다.")
+        return [*update(), score]
+    score.select(select_func, None, [question, ground_truth, prediction, todos, done, download, score])
 
 demo.queue()
 demo.launch()