Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pandas as pd
 import pandas_bokeh
 import matplotlib.pyplot as plt
+import seaborn as sns
 from pyecharts.charts import Bar
 import cufflinks as cf
 
@@ -41,6 +42,14 @@ def cff():
     df=pd.DataFrame([[0.2,0.4,0.6],[0.4,0.3,0.4],[0.4,0.5,0.2],[0.5,0.4,0.4]],columns=['a','b','c'])
     cfft=df.iplot(kind='bubble',x='a',y='b',size='c')
     return cfft
+def seab():
+    tips=sns.load_dataset('tips')
+    sns.set_style("whitegrid")
+    g=sns.lmplot(x="tip",y="total_bill",data=tips,aspect=2)
+    g=(g.set_axis_labels("Tip","Total bill(USD)") \
+        .set(xlim=(0,10),ylim=(0,100)))
+    plt.title("吹牛逼")
+    return plt
 #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": {}})
@@ -73,6 +82,10 @@ with demo:
             cff_button=gr.Button("cufflinks>>")
             cff_output=gr.File(label="cufflinks_chart")
             cff_button.click(cff, inputs=[], outputs=cff_output,api_name='cuffl')
+        with gr.TabItem("seaborn"):
+            sb_button=gr.Button("seaborn>>")
+            sb_output=gr.File(label="seaborn_chart")
+            sb_button.click(seab, inputs=[], outputs=sb_output,api_name='seaborn')
 #        with gr.TabItem("pyg2plot"):
 #            pyg2_button=gr.Button("pyg2plot>>")
 #            pyg2_output=gr.Plot(label="pyg2plot_chart")