Update app.py

app.py

@@ -1,255 +1,256 @@
-import gradio as gr
-import pandas as pd
-import json
-from tempfile import NamedTemporaryFile
-
-import NDfilter
-
-## 核素筛选
-def process_filters(Z_min, Z_max, Z_oe_idx, N_min, N_max, N_oe_idx, A_min, A_max, A_oe_idx, hl_enable_idx, hl_min, hl_min_unit, hl_max, hl_max_unit, dm_enable_idx, decay_modes):
-
-    filtered_data = NDfilter.nuclidesFilterZNA(nuclides_data, Z_min, Z_max, Z_oe_idx, N_min, N_max, N_oe_idx, A_min, A_max, A_oe_idx)
-
-    # 根据母核半衰期进行筛选
-    if hl_enable_idx == 1:
-        hl_min_sec = HLunit_convert(hl_min, hl_min_unit)
-        hl_max_sec = HLunit_convert(hl_max, hl_max_unit)
-        filtered_data = NDfilter.nuclidesFilterHalflife(filtered_data, hl_min_sec, hl_max_sec)
-
-    # 根据衰变模式进行筛选
-    if dm_enable_idx > 0 and decay_modes:
-        filtered_data = NDfilter.nuclidesFilterDecayModes(filtered_data, dm_enable_idx, decay_modes)
-
-    # 结果处理
-    if len(filtered_data) == 0:
-        result_text = "没有找到符合条件的核素"
-        result_file_path = None
-    else:
-        result_text = f"找到 {len(filtered_data)} 个符合条件的核素"
-        with NamedTemporaryFile(suffix=".json", delete=False, mode='w') as file:
-            json.dump(filtered_data, file, indent=2)
-            result_file_path = file.name
-    return result_text, result_file_path
-
-## 核素查找
-def process_search(mode_idx, nom, z, n, a, preview_mode, file_type):
-    result = None
-    if mode_idx == 0:
-        result = NDfilter.nuclidesSearchingNom(nuclides_data, nom.replace(" ", ""))
-    elif mode_idx == 1:
-        if not (z == None or n == None):
-            result = NDfilter.nuclidesSearchingZN(nuclides_data, z, n)
-    elif mode_idx == 2:
-        if not (z == None or a == None):
-            result = NDfilter.nuclidesSearchingZA(nuclides_data, z, a)
-    elif mode_idx == 3:
-        if not (n == None or a == None):
-            result = NDfilter.nuclidesSearchingNA(nuclides_data, n, a)
-
-    ## 结果处理
-    if result == None:
-        result_text = "没有找到此核素"
-        result_dataframe = None
-        result_file_path = None
-    else:
-        ## 文本
-        result_text = f"{result["name"]}" + "\n\nnndc页面：\ngetdataset:\n" + f"https://www.nndc.bnl.gov/nudat3/getdataset.jsp?nucleus={result["name"]}&unc=NDS"
-        ## temp
-        with open ("data/haveDecayPage.json",'r', encoding='utf-8') as file:
-            haveDecayPage = json.load(file)
-        if haveDecayPage[result["name"]]:
-            result_text = result_text + "\n\ndecaysearchdirect:\n" + f"https://www.nndc.bnl.gov/nudat3/decaysearchdirect.jsp?nuc={result["name"]}&unc=NDS"
-        
-        ## 预览表格
-        if preview_mode == 0:
-            result_dataframe = NDfilter.nuclideData_dict2dataframeCompact(result)
-        elif preview_mode == 1:
-            result_dataframe = NDfilter.nuclideData_dict2dataframe(result)
-
-        ## 文件
-        if file_type == 0:
-            with NamedTemporaryFile(suffix=".json", delete=False, mode='w') as file:
-                json.dump(result, file, indent=2)
-                result_file_path = file.name
-        elif file_type == 1:
-            if preview_mode == 1:
-                tmpDataframe = result_dataframe
-            else:
-                tmpDataframe = NDfilter.nuclideData_dict2dataframe(result)
-            with NamedTemporaryFile(suffix=".csv", delete=False, mode='w') as file:
-                tmpDataframe.to_csv(file, index=False)
-                result_file_path = file.name
-
-    return result_text, result_dataframe, result_file_path
-
-
-## 半衰期单位转换
-def HLunit_convert(hl, hl_unit):
-    if hl_unit == "Stable":
-        hl_sec = None
-    else:
-        hl_sec = hl * HL_UNITS[hl_unit]
-    return hl_sec
-
-## 处理查找页面输入组件激活情况
-def update_inputs(mode_idx):
-    
-    if mode_idx == 0:  # 核素名称模式
-        return [gr.Textbox(interactive=True), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None)]
-    elif mode_idx == 1:  # Z+N模式
-        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=True), gr.Number(interactive=False, value=None)]
-    elif mode_idx == 2:  # Z+A模式
-        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=False, value=None), gr.Number(interactive=True)]
-    elif mode_idx == 3:  # N+A模式
-        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=True)]
-    else:
-        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None)]
-        
-
-
-## 导入数据集
-file_path = "data/nndc_nudat_data_export.json"
-with open (file_path,'r', encoding='utf-8') as file:
-    nuclides_data = json.load(file)
-
-## 半衰期单位转换字典
-HL_UNITS = {"fs": 1e-15, "ps": 1e-12, "ns": 1e-9, "us": 1e-6, "ms": 1e-3, "s": 1, "m": 60, "h": 3600, "d": 86400, "y": 31557600, "ky": 31557600e3, "My": 31557600e6, "Gy": 31557600e9}
-
-with gr.Blocks(title="核数据工具") as demo:
-    gr.Markdown("""
-                ## 核数据工具
-                可能是用来处理核数据的相关工具？？
-                目前功能有：核素筛选、核素查找。
-                """)
-    
-    with gr.Tab("核素筛选"):
-        gr.Markdown("""
-                    ## 核素筛选
-                    可以通过质子数(Z)、中子数(N)、质量数(A)以及母核半衰期、衰变模式等进行筛选
-                    """)
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("根据质子数(Z)、中子数(N)、质量数(A)进行筛选")
-            with gr.Column(scale=4):
-                with gr.Row():
-                    with gr.Column(min_width=240):
-                        gr.Markdown("质子数(Z)")
-                        Z_min = gr.Number(label="最小值", precision=0)
-                        Z_max = gr.Number(label="最大值", precision=0)
-                        Z_oe = gr.Dropdown(["任意", "奇Z", "偶Z"], label="奇偶", type="index", interactive=True)
-                    with gr.Column(min_width=240):
-                        gr.Markdown("中子数(N)")
-                        N_min = gr.Number(label="最小值", precision=0)
-                        N_max = gr.Number(label="最大值", precision=0)
-                        N_oe = gr.Dropdown(["任意", "奇N", "偶N"], label="奇偶", type="index", interactive=True)
-                    with gr.Column(min_width=240):
-                        gr.Markdown("质量数(A)")
-                        A_min = gr.Number(label="最小值", precision=0)
-                        A_max = gr.Number(label="最大值", precision=0)
-                        A_oe = gr.Dropdown(["任意", "奇A", "偶A"], label="奇偶", type="index", interactive=True)
-
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("根据母核半衰期进行筛选")
-            with gr.Column(scale=4):
-                with gr.Row():
-                    hl_enable = gr.Radio(["不使用", "使用"], value="不使用", type="index", show_label=False)
-                    hl_min = gr.Number(label="最小值", minimum=0.)
-                    hl_min_unit = gr.Dropdown(["fs", "ps", "ns", "us", "ms", "s", "m", "h", "d", "y", "ky", "My", "Gy", "Stable"], value="fs", interactive=True)
-                    hl_max = gr.Number(label="最大值", minimum=0.)
-                    hl_max_unit = gr.Dropdown(["fs", "ps", "ns", "us", "ms", "s", "m", "h", "d", "y", "ky", "My", "Gy", "Stable"], value="Stable", interactive=True)
-
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("根据衰变模式进行筛选")
-            with gr.Column(scale=4):
-                with gr.Row():
-                    dm_enable_idx = gr.Radio(["不使用", "筛选包含所有以下所选衰变模式的核素(and)", "筛选包含任意以下所选衰变模式的核素(or)"], value="不使用", type="index", interactive=True, show_label=False)
-                with gr.Row():
-                    decayModes = gr.CheckboxGroup(['B-', 'N', '2N', 'B-N', 'P', 'B-A', 'B-2N', 'B-3N', '2P', 'EC', 'A', 'B-4N', 'EC+B+', 'ECA', 'ECP', 'IT', 'EC2P', 'EC3P', 'ECAP', '3P', '2B-', 'ECSF', '14C', 'B-SF', '24NE', 'SF', '20O', '20NE', '25NE', '28MG', 'NE', '22NE', 'SI', 'MG', '34SI'], label="decayModes", interactive=True)
-
-        with gr.Row():
-            submit_btn = gr.Button("筛选", variant="primary")
-            reset_btn = gr.Button("重置条件", variant="primary")
-        
-        with gr.Row():
-            result_text = gr.Textbox(label="筛选结果", interactive=False, show_copy_button=True)
-            result_file = gr.File(label="结果文件", interactive=False)
-
-        inputs = [
-            Z_min, Z_max, Z_oe,
-            N_min, N_max, N_oe,
-            A_min, A_max, A_oe,
-            hl_enable, hl_min, hl_min_unit, hl_max, hl_max_unit,
-            dm_enable_idx, decayModes
-        ]
-        
-        submit_btn.click(
-            fn=process_filters,
-            inputs=inputs,
-            outputs=[result_text, result_file]
-        )
-        
-        reset_btn.click(
-            fn=lambda: [None,None,"任意"]*3 + ["不使用", None, "fs", None, "Stable"] + ["不使用", []],
-            outputs=inputs
-        )
-
-
-    with gr.Tab("核素查找"):
-        gr.Markdown("## 核素查找")
-        with gr.Row():
-            with gr.Column(scale=3):
-                searchingMode = gr.Radio(["核素名称", "质子数(Z)、中子数(N)", "质子数(Z)、质量数(A)", "中子���(N)、质量数(A)"], value="核素名称", label="查找模式", interactive=True, type="index")
-                gr.Markdown("### 根据核素名称查找")
-                nuclide_in = gr.Textbox(value=None, info="请输入由质量数及元素名称所组成的核素名称，示例：232Th、232TH、th232、232-Th、th-232等。\n只要不太离谱就能识别……大概？")
-                gr.Markdown("### 根据质子数(Z)、中子数(N)、质量数(A)查找")
-                with gr.Row():
-                    Z_in = gr.Number(value=0, label="质子数(Z)", precision=0, interactive=False)
-                    N_in = gr.Number(value=0, label="中子数(N)", precision=0, interactive=False)
-                    A_in = gr.Number(value=0, label="质量数(A)", precision=0, interactive=False)
-                previewMode = gr.Radio(["紧凑", "常规"], value="紧凑", type="index", label="预览模式")
-                outputFileType = gr.Radio(["json", "csv"], value="json", type="index", label="导出文件格式")
-                with gr.Row():
-                    submit_btn2 = gr.Button("查找", variant="primary")
-                    reset_btn2 = gr.Button("重置条件", variant="primary")
-
-            with gr.Column(scale=2):
-                result_text2 = gr.Textbox(interactive=False, show_label=False)
-                preview_df = gr.Dataframe(label="数据预览", interactive=False)
-                result_file2 = gr.File()
-
-        searchingMode.change(
-            fn=update_inputs,
-            inputs=searchingMode,
-            outputs=[nuclide_in, Z_in, N_in, A_in]
-        )
-
-        inputs2 = [
-            searchingMode,
-            nuclide_in,
-            Z_in, N_in, A_in,
-            previewMode, outputFileType
-        ]
-
-        submit_btn2.click(
-            fn=process_search,
-            inputs=inputs2,
-            outputs=[result_text2, preview_df, result_file2]
-        )
-
-        reset_btn2.click(
-            fn=lambda: [None]*4,
-            outputs=[nuclide_in, Z_in, N_in, A_in]
-        )
-
-    with gr.Tab("核素图绘制"):
-        gr.Markdown("""
-                    ## 核素图绘制
-                    TO DO
-                    """)
-
-
-
-
+import gradio as gr
+import pandas as pd
+import json
+from tempfile import NamedTemporaryFile
+
+import NDfilter
+
+## 核素筛选
+def process_filters(Z_min, Z_max, Z_oe_idx, N_min, N_max, N_oe_idx, A_min, A_max, A_oe_idx, hl_enable_idx, hl_min, hl_min_unit, hl_max, hl_max_unit, dm_enable_idx, decay_modes):
+
+    filtered_data = NDfilter.nuclidesFilterZNA(nuclides_data, Z_min, Z_max, Z_oe_idx, N_min, N_max, N_oe_idx, A_min, A_max, A_oe_idx)
+
+    # 根据母核半衰期进行筛选
+    if hl_enable_idx == 1:
+        hl_min_sec = HLunit_convert(hl_min, hl_min_unit)
+        hl_max_sec = HLunit_convert(hl_max, hl_max_unit)
+        filtered_data = NDfilter.nuclidesFilterHalflife(filtered_data, hl_min_sec, hl_max_sec)
+
+    # 根据衰变模式进行筛选
+    if dm_enable_idx > 0 and decay_modes:
+        filtered_data = NDfilter.nuclidesFilterDecayModes(filtered_data, dm_enable_idx, decay_modes)
+
+    # 结果处理
+    if len(filtered_data) == 0:
+        result_text = "没有找到符合条件的核素"
+        result_file_path = None
+    else:
+        result_text = f"找到 {len(filtered_data)} 个符合条件的核素"
+        with NamedTemporaryFile(suffix=".json", delete=False, mode='w') as file:
+            json.dump(filtered_data, file, indent=2)
+            result_file_path = file.name
+    return result_text, result_file_path
+
+## 核素查找
+def process_search(mode_idx, nom, z, n, a, preview_mode, file_type):
+    result = None
+    if mode_idx == 0:
+        result = NDfilter.nuclidesSearchingNom(nuclides_data, nom.replace(" ", ""))
+    elif mode_idx == 1:
+        if not (z == None or n == None):
+            result = NDfilter.nuclidesSearchingZN(nuclides_data, z, n)
+    elif mode_idx == 2:
+        if not (z == None or a == None):
+            result = NDfilter.nuclidesSearchingZA(nuclides_data, z, a)
+    elif mode_idx == 3:
+        if not (n == None or a == None):
+            result = NDfilter.nuclidesSearchingNA(nuclides_data, n, a)
+
+    ## 结果处理
+    if result == None:
+        result_text = "没有找到此核素"
+        result_dataframe = None
+        result_file_path = None
+    else:
+        ## 文本
+        name = result["name"]
+        result_text = f"{name}" + "\n\nnndc页面：\ngetdataset:\n" + f"https://www.nndc.bnl.gov/nudat3/getdataset.jsp?nucleus={name}&unc=NDS"
+        ## temp
+        with open ("data/haveDecayPage.json",'r', encoding='utf-8') as file:
+            haveDecayPage = json.load(file)
+        if haveDecayPage[name]:
+            result_text = result_text + "\n\ndecaysearchdirect:\n" + f"https://www.nndc.bnl.gov/nudat3/decaysearchdirect.jsp?nuc={name}&unc=NDS"
+        
+        ## 预览表格
+        if preview_mode == 0:
+            result_dataframe = NDfilter.nuclideData_dict2dataframeCompact(result)
+        elif preview_mode == 1:
+            result_dataframe = NDfilter.nuclideData_dict2dataframe(result)
+
+        ## 文件
+        if file_type == 0:
+            with NamedTemporaryFile(suffix=".json", delete=False, mode='w') as file:
+                json.dump(result, file, indent=2)
+                result_file_path = file.name
+        elif file_type == 1:
+            if preview_mode == 1:
+                tmpDataframe = result_dataframe
+            else:
+                tmpDataframe = NDfilter.nuclideData_dict2dataframe(result)
+            with NamedTemporaryFile(suffix=".csv", delete=False, mode='w') as file:
+                tmpDataframe.to_csv(file, index=False)
+                result_file_path = file.name
+
+    return result_text, result_dataframe, result_file_path
+
+
+## 半衰期单位转换
+def HLunit_convert(hl, hl_unit):
+    if hl_unit == "Stable":
+        hl_sec = None
+    else:
+        hl_sec = hl * HL_UNITS[hl_unit]
+    return hl_sec
+
+## 处理查找页面输入组件激活情况
+def update_inputs(mode_idx):
+    
+    if mode_idx == 0:  # 核素名称模式
+        return [gr.Textbox(interactive=True), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None)]
+    elif mode_idx == 1:  # Z+N模式
+        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=True), gr.Number(interactive=False, value=None)]
+    elif mode_idx == 2:  # Z+A模式
+        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=False, value=None), gr.Number(interactive=True)]
+    elif mode_idx == 3:  # N+A模式
+        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=True), gr.Number(interactive=True)]
+    else:
+        return [gr.Textbox(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None), gr.Number(interactive=False, value=None)]
+        
+
+
+## 导入数据集
+file_path = "data/nndc_nudat_data_export.json"
+with open (file_path,'r', encoding='utf-8') as file:
+    nuclides_data = json.load(file)
+
+## 半衰期单位转换字典
+HL_UNITS = {"fs": 1e-15, "ps": 1e-12, "ns": 1e-9, "us": 1e-6, "ms": 1e-3, "s": 1, "m": 60, "h": 3600, "d": 86400, "y": 31557600, "ky": 31557600e3, "My": 31557600e6, "Gy": 31557600e9}
+
+with gr.Blocks(title="核数据工具") as demo:
+    gr.Markdown("""
+                ## 核数据工具
+                可能是用来处理核数据的相关工具？？
+                目前功能有：核素筛选、核素查找。
+                """)
+    
+    with gr.Tab("核素筛选"):
+        gr.Markdown("""
+                    ## 核素筛选
+                    可以通过质子数(Z)、中子数(N)、质量数(A)以及母核半衰期、衰变模式等进行筛选
+                    """)
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("根据质子数(Z)、中子数(N)、质量数(A)进行筛选")
+            with gr.Column(scale=4):
+                with gr.Row():
+                    with gr.Column(min_width=240):
+                        gr.Markdown("质子数(Z)")
+                        Z_min = gr.Number(label="最小值", precision=0)
+                        Z_max = gr.Number(label="最大值", precision=0)
+                        Z_oe = gr.Dropdown(["任意", "奇Z", "偶Z"], label="奇偶", type="index", interactive=True)
+                    with gr.Column(min_width=240):
+                        gr.Markdown("中子数(N)")
+                        N_min = gr.Number(label="最小值", precision=0)
+                        N_max = gr.Number(label="最大值", precision=0)
+                        N_oe = gr.Dropdown(["任意", "奇N", "偶N"], label="奇偶", type="index", interactive=True)
+                    with gr.Column(min_width=240):
+                        gr.Markdown("质量数(A)")
+                        A_min = gr.Number(label="最小值", precision=0)
+                        A_max = gr.Number(label="最大值", precision=0)
+                        A_oe = gr.Dropdown(["任意", "奇A", "偶A"], label="奇偶", type="index", interactive=True)
+
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("根据母核半衰期进行筛选")
+            with gr.Column(scale=4):
+                with gr.Row():
+                    hl_enable = gr.Radio(["不使用", "使用"], value="不使用", type="index", show_label=False)
+                    hl_min = gr.Number(label="最小值", minimum=0.)
+                    hl_min_unit = gr.Dropdown(["fs", "ps", "ns", "us", "ms", "s", "m", "h", "d", "y", "ky", "My", "Gy", "Stable"], value="fs", interactive=True)
+                    hl_max = gr.Number(label="最大值", minimum=0.)
+                    hl_max_unit = gr.Dropdown(["fs", "ps", "ns", "us", "ms", "s", "m", "h", "d", "y", "ky", "My", "Gy", "Stable"], value="Stable", interactive=True)
+
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("根据衰变模式进行筛选")
+            with gr.Column(scale=4):
+                with gr.Row():
+                    dm_enable_idx = gr.Radio(["不使用", "筛选包含所有以下所选衰变模式的核素(and)", "筛选包含任意以下所选衰变模式的核素(or)"], value="不使用", type="index", interactive=True, show_label=False)
+                with gr.Row():
+                    decayModes = gr.CheckboxGroup(['B-', 'N', '2N', 'B-N', 'P', 'B-A', 'B-2N', 'B-3N', '2P', 'EC', 'A', 'B-4N', 'EC+B+', 'ECA', 'ECP', 'IT', 'EC2P', 'EC3P', 'ECAP', '3P', '2B-', 'ECSF', '14C', 'B-SF', '24NE', 'SF', '20O', '20NE', '25NE', '28MG', 'NE', '22NE', 'SI', 'MG', '34SI'], label="decayModes", interactive=True)
+
+        with gr.Row():
+            submit_btn = gr.Button("筛选", variant="primary")
+            reset_btn = gr.Button("重置条件", variant="primary")
+        
+        with gr.Row():
+            result_text = gr.Textbox(label="筛选结果", interactive=False, show_copy_button=True)
+            result_file = gr.File(label="结果文件", interactive=False)
+
+        inputs = [
+            Z_min, Z_max, Z_oe,
+            N_min, N_max, N_oe,
+            A_min, A_max, A_oe,
+            hl_enable, hl_min, hl_min_unit, hl_max, hl_max_unit,
+            dm_enable_idx, decayModes
+        ]
+        
+        submit_btn.click(
+            fn=process_filters,
+            inputs=inputs,
+            outputs=[result_text, result_file]
+        )
+        
+        reset_btn.click(
+            fn=lambda: [None,None,"任意"]*3 + ["不使用", None, "fs", None, "Stable"] + ["不使用", []],
+            outputs=inputs
+        )
+
+
+    with gr.Tab("核素查找"):
+        gr.Markdown("## 核素查找")
+        with gr.Row():
+            with gr.Column(scale=3):
+                searchingMode = gr.Radio(["核素名称", "质子数(Z)、中子数(N)", "质子数(Z)、质量数(A)", "中子数(N)、质量数(A)"], value="核素名称", label="查找模式", interactive=True, type="index")
+                gr.Markdown("### 根据核素名称查找")
+                nuclide_in = gr.Textbox(value=None, info="请输入由质量数及元素名称所组成的核素名称，示例：232Th、232TH、th232、232-Th、th-232等。\n只要不太离谱就能识别……大概？")
+                gr.Markdown("### 根据质子数(Z)、中子数(N)、质量数(A)查找")
+                with gr.Row():
+                    Z_in = gr.Number(value=0, label="质子数(Z)", precision=0, interactive=False)
+                    N_in = gr.Number(value=0, label="中子数(N)", precision=0, interactive=False)
+                    A_in = gr.Number(value=0, label="质量数(A)", precision=0, interactive=False)
+                previewMode = gr.Radio(["紧凑", "常规"], value="紧凑", type="index", label="预览模式")
+                outputFileType = gr.Radio(["json", "csv"], value="json", type="index", label="导出文件格式")
+                with gr.Row():
+                    submit_btn2 = gr.Button("查找", variant="primary")
+                    reset_btn2 = gr.Button("重置条件", variant="primary")
+
+            with gr.Column(scale=2):
+                result_text2 = gr.Textbox(interactive=False, show_label=False)
+                preview_df = gr.Dataframe(label="数据预览", interactive=False)
+                result_file2 = gr.File()
+
+        searchingMode.change(
+            fn=update_inputs,
+            inputs=searchingMode,
+            outputs=[nuclide_in, Z_in, N_in, A_in]
+        )
+
+        inputs2 = [
+            searchingMode,
+            nuclide_in,
+            Z_in, N_in, A_in,
+            previewMode, outputFileType
+        ]
+
+        submit_btn2.click(
+            fn=process_search,
+            inputs=inputs2,
+            outputs=[result_text2, preview_df, result_file2]
+        )
+
+        reset_btn2.click(
+            fn=lambda: [None]*4,
+            outputs=[nuclide_in, Z_in, N_in, A_in]
+        )
+
+    with gr.Tab("核素图绘制"):
+        gr.Markdown("""
+                    ## 核素图绘制
+                    TO DO
+                    """)
+
+
+
+
     demo.launch()