Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st 
+import numpy as np 
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns 
+
+st.title('file uploader')
+st.subheader('imput csv')
+uploaded_file = st.file_uploader('upload a csv')
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file)
+    st.subheader('Dataframe')
+    st.write(df)
+    col1,col2 = st.columns(2)
+    with col1:
+        fig1 = plt.figure()
+        sns.scatterplot(x='EstimatedSalary',y='Age',hue='Purchased',data=df)
+        st.pyplot(fig1)
+    with col2:
+        fig2 = plt.figure()
+        sns.histplot(df.Age)
+        st.pyplot(fig2)