Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import pandas as pd
+import pandas_bokeh
 import matplotlib.pyplot as plt
 #from pyg2plot import Plot
 #plt.rcParams['font.sans-serif']=['SimHei']
@@ -20,11 +21,11 @@ def pd_plotly():
     ax = df.plot.bar(x='课程',y='成绩')
     return ax #plt
 def pd_bokeh():
-    import pandas_bokeh
-    from bokeh.plotting import figure,show
-    p = figure(title="吹牛逼你是认真的", plot_width=800, plot_height=600)
-    p.circle([1, 2], [3, 4])
-    return p
+    pd.set_option('plotting.backend','pandas_bokeh')
+    pandas_bokeh.output_file("test.html")
+    df=pd.DataFrame({'班级':['天','地','玄','黄'],'姓名':['诸葛清明','公孙轩辕','李耳','石破天'],'成绩':[66,78,99,85]})
+    df.plot_bokeh.bar(x='姓名',y='成绩',ylabel="群员吹水战绩",title="吹牛逼你们是认真的",alpha=0.6,show_figure=False,legend="bottom_right")
+    return 'test.html'
 #def pyg2plot_chart():
 #    bar = Plot("Column")
 #    bar.set_options({"height": 600,"width":800,"data": [{ "年": "2001", "销量": 3 },{ "年": "2002", "销量": 4 },{ "年": "2003", "销量": 5.5 },{"年": "2004", "销量": 7 },{ "年": "2005", "销量": 8.9 },{ "年": "2006", "销量": 10}],"xField": "年","yField": "销量","label": {}})
@@ -47,7 +48,7 @@ with demo:
             plotly_button.click(pd_plotly, inputs=[], outputs=plotly_output)
         with gr.TabItem("pd_bokeh"):
             bokeh_button=gr.Button("pd_bokeh>>")
-            bokeh_output=gr.Plot(label="bokeh_chart")
+            bokeh_output=gr.File(label="bokeh_chart")
             bokeh_button.click(pd_bokeh, inputs=[], outputs=bokeh_output)
 #        with gr.TabItem("pyg2plot"):
 #            pyg2_button=gr.Button("pyg2plot>>")