Update app.py

app.py

@@ -83,7 +83,8 @@ for uploaded_file in uploaded_files:
         fig1 = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
                 values='score', color='label')
         fig1.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-        st.plotly_chart(fig1, key = "chart_1_shown")
+        a = st.plotly_chart(fig1, key = "tv")
+        a
        
             
         
@@ -100,7 +101,8 @@ for uploaded_file in uploaded_files:
         fig2 = px.imshow(cosine_sim_df, text_auto=True, labels=dict(x="Keyword similarity", y="Resumes", color="Productivity"),
                         x=['Resume 1', 'Jon Description'],
                         y=['Resume 1', 'Job Description'])
-        st.plotly_chart(fig2, key = "chart_2_shown")
+        b = st.plotly_chart(fig2, key = "bar")
+        b
 
         
         for i, similarity_score in enumerate(cosine_sim_matrix[0][1:]):
@@ -154,7 +156,8 @@ for uploaded_file in uploaded_files:
         fig3 = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
                 values='score', color='label')
         fig3.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-        st.plotly_chart(fig3, key = "chart_3_shown")
+        c = st.plotly_chart(fig3, key = "iris")
+        c
        
             
         
@@ -171,7 +174,8 @@ for uploaded_file in uploaded_files:
         fig4 = px.imshow(cosine_sim_df, text_auto=True, labels=dict(x="Keyword similarity", y="Resumes", color="Productivity"),
                         x=['Resume 2', 'Jon Description'],
                         y=['Resume 2', 'Job Description'])
-        st.plotly_chart(fig4, key = "chart_4_shown")
+        d = st.plotly_chart(fig4, key = "radio")
+        d
 
         
         for i, similarity_score in enumerate(cosine_sim_matrix[0][1:]):