修复了lotsa标号没对齐的问题

app.py

@@ -320,6 +320,7 @@ with gr.Blocks() as demo:
                 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])
+                lotsa_page[0] += 1
                 #TODO: 对partial-train的处理
                 lotsa_split = get_parquet_splits(TARGET_DATASET, lotsa_config)[0]
                 start_index, end_index = df[COLUMN_START_INDEX][0], df[COLUMN_END_INDEX][0]
@@ -423,8 +424,8 @@ with gr.Blocks() as demo:
 if __name__ == "__main__":
 
     app = gr.mount_gradio_app(app, demo, path="/")
-    # host = "127.0.0.1" 
-    host = "0.0.0.0"
+    host = "127.0.0.1" 
+    # host = "0.0.0.0"
     # import subprocess
     # subprocess.Popen(["python", "test_server.py"])
     uvicorn.run(app, host=host, port=7860)

utils.py

@@ -65,7 +65,7 @@ def create_plot(dfs: list[pd.DataFrame], ids: list[str], interval: list[int, int
     
     for df, df_id in zip(dfs, ids):
         if interval:
-            df = df.iloc[interval[0]:interval[1]]
+            df = df.iloc[interval[0]:interval[1]+1]
         
         df_normalized = df.copy()
         if len(df.columns) > 1:
@@ -81,7 +81,7 @@ def create_plot(dfs: list[pd.DataFrame], ids: list[str], interval: list[int, int
                 y=df_normalized[column], 
                 mode='lines', 
                 name=f"Normalized {df_id} - {column}",
-                hovertext=list(range(len(df))),
+                hovertext=list(range(interval[0], len(df)+interval[0]+1)),
                 hoverinfo="x+text+y",
                 visible=True  # 归一化数据默认可见
             ))
@@ -92,7 +92,7 @@ def create_plot(dfs: list[pd.DataFrame], ids: list[str], interval: list[int, int
                 y=df[column], 
                 mode='lines', 
                 name=f"Raw {df_id} - {column}",
-                hovertext=list(range(len(df))),
+                hovertext=list(range(interval[0], len(df)+interval[0]+1)),
                 hoverinfo="x+text+y",
                 visible='legendonly'  # 原始数据默认隐藏
             ))