feat(frontend): 添加数据集生成轮次控制功能

- 在数据集生成页面添加"生成轮次"输入框，支持设置生成轮数
- 更新生成逻辑，根据设置的轮次进行多次生成

frontend/dataset_generate_page.py

@@ -57,9 +57,18 @@ def dataset_generate_page():
                 )
                 api_choice = gr.State(value=initial_api)
 
-                output_text = gr.Textbox(label="生成结果", interactive=False)
+                rounds_input = gr.Number(
+                    value=1,
+                    label="生成轮次",
+                    minimum=1,
+                    maximum=100,
+                    step=1,
+                    interactive=True
+                )
                 generate_button = gr.Button("生成数据集",variant="primary")
 
+                output_text = gr.Textbox(label="生成结果", interactive=False)
+
             with gr.Column(scale=2):
                 variables_dataframe = gr.Dataframe(
                     headers=["变量名", "变量值"],
@@ -88,7 +97,7 @@ def dataset_generate_page():
             dataframe_value = [] if input_variables is None else input_variables
             return selected_prompt, dataframe_value
 
-        def on_generate_click(doc_state, prompt_state, api_state, variables_dataframe, progress=gr.Progress()):
+        def on_generate_click(doc_state, prompt_state, api_state, variables_dataframe, rounds, progress=gr.Progress()):
             variables_dict = {}
             # 正确遍历DataFrame的行数据
             for _, row in variables_dataframe.iterrows():
@@ -98,7 +107,7 @@ def dataset_generate_page():
                     variables_dict[var_name] = var_value
 
             import time
-            total_steps = 10
+            total_steps = rounds
             for i in range(total_steps):
                 # 模拟每个步骤的工作负载
                 time.sleep(0.5)
@@ -117,7 +126,7 @@ def dataset_generate_page():
 
         generate_button.click(
             on_generate_click,
-            inputs=[doc_choice, prompt_choice, api_choice, variables_dataframe],
+            inputs=[doc_choice, prompt_choice, api_choice, variables_dataframe, rounds_input],
             outputs=output_text
         )