Upload app.py

app.py

@@ -6,12 +6,4 @@ df_diamonds = pd.read_csv('diamonds.csv')
 
 st.title("Diamond APP sorting festivity. Noted by Dimitri")
 
-# Assuming 'df_diamonds' is your DataFrame with the 'price', 'carat', 'cut', 'color', and 'clarity' columns
-# Specify the columns to be used in the graph
-columns = ['price', 'carat', 'cut', 'color', 'clarity']
-
-# Create a graph based on the specified columns
-fig = px.scatter(df_diamonds[columns], x='carat', y='price', color='cut', symbol='color', facet_col='clarity')
-
-# Display the graph in Streamlit
-st.plotly_chart(fig, use_container_width=True)
+st.pyplot(fig)