Update app.py

app.py

@@ -100,23 +100,23 @@ if option == "Inter-Annotator Agreement results":
         pairs = list(combinations(project_analyzed.annotations_per_coders, 2))
 
         # Display in app
-        cont_kappa = st.container()
-        cont_kappa.title("Inter-Annotator Agreement (IAA) results")
-        tab1, tab2, tab3, tab4, tab5 = st.tabs(
-            ["📈 IAA metrics", "🗃 IAA Metrics Legend", "✔️ Agree annotations", "❌ Disagree annotations",
-             "🏷️ Global Labels Statistics"])
-        tab1.subheader("Fleiss Kappa (global score for group):")
+        #cont_kappa = st.container()
+        st.title("Inter-Annotator Agreement (IAA) results")
+        #tab1, tab2, tab3, tab4, tab5 = st.tabs(
+        #    ["📈 IAA metrics", "🗃 IAA Metrics Legend", "✔️ Agree annotations", "❌ Disagree annotations",
+        #     "🏷️ Global Labels Statistics"])
+        st.subheader("Fleiss Kappa (global score for group):")
 
 
 
-        tab1.markdown(interpret_kappa(round(fleiss_kappa_function(matrix), 2)), unsafe_allow_html=True)
-        tab1.subheader("Cohen Kappa Annotators Matrix (score between annotators):")
+        st.markdown(interpret_kappa(round(fleiss_kappa_function(matrix), 2)), unsafe_allow_html=True)
+        st.subheader("Cohen Kappa Annotators Matrix (score between annotators):")
         # tab1.dataframe(df)
         data = []
         for coder_1, coder_2 in pairs:
             cohen_function = cohen_kappa_function(project_analyzed.labels_per_coder[coder_1], project_analyzed.labels_per_coder[coder_2])
             data.append(((coder_1, coder_2), cohen_function))
-            tab1.markdown(f"* {coder_1} <> {coder_2} : {interpret_kappa(cohen_function)}", unsafe_allow_html=True)
+            st.markdown(f"* {coder_1} <> {coder_2} : {interpret_kappa(cohen_function)}", unsafe_allow_html=True)
             # print(f"* {coder_1} <> {coder_2} : {cohen_function}")
 
         intermediary = defaultdict(Counter)
@@ -132,13 +132,13 @@ if option == "Inter-Annotator Agreement results":
         mask = df_cm.values == 0
         sn.set(font_scale=0.7)  # for label size
         colors = ["#e74c3c", "#f39c12", "#f4d03f", "#5dade2", "#58d68d", "#28b463"]
-        width = tab1.slider("matrix width", 1, 10, 14)
-        height = tab1.slider("matrix height", 1, 10, 4)
+        width = st.slider("matrix width", 1, 10, 14)
+        height = st.slider("matrix height", 1, 10, 4)
         fig, ax = pylt.subplots(figsize=(width, height))
         sn.heatmap(df_cm, cmap=colors, annot=True, mask=mask, annot_kws={"size": 7}, vmin=0, vmax=1, ax=ax)  # font size
         # plt.show()
-        tab1.pyplot(ax.figure)
-        tab2.markdown("""
+        st.pyplot(ax.figure)
+        st.markdown("""
         <table>
         <thead>
         <tr>
@@ -217,16 +217,16 @@ if option == "Inter-Annotator Agreement results":
 
         csv_agree = convert_df(df_agree)
 
-        tab3.subheader("Total agree annotations:")
-        tab3.markdown(f"{total_unanime} / {len(df)} annotations ({round((total_unanime / len(df)) * 100, 2)} %)")
-        tab3.download_button(
+        st.subheader("Total agree annotations:")
+        st.markdown(f"{total_unanime} / {len(df)} annotations ({round((total_unanime / len(df)) * 100, 2)} %)")
+        st.download_button(
             "Press to Download CSV",
             csv_agree,
             "csv_annotators_agree.csv",
             "text/csv",
             key='download-csv-1'
         )
-        tab3.dataframe(df_agree)
+        st.dataframe(df_agree)
 
 
         ## Disagree part
@@ -238,17 +238,17 @@ if option == "Inter-Annotator Agreement results":
         df_disagree = df[df[columns_to_compare].apply(lambda row: check_all_not_equal(row), axis=1)]
         total_desaccord = len(df_disagree)
         csv_disagree = convert_df(df_disagree)
-        tab4.subheader("Total disagree annotations:")
-        tab4.markdown(
+        st.subheader("Total disagree annotations:")
+        st.markdown(
             f"{total_desaccord} / {len(df)} annotations ({round((total_desaccord / len(df)) * 100, 2)} %)")
-        tab4.download_button(
+        st.download_button(
             "Press to Download CSV",
             csv_disagree,
             "csv_annotators_disagree.csv",
             "text/csv",
             key='download-csv-2'
         )
-        tab4.dataframe(df_disagree)
+        st.dataframe(df_disagree)
 
 
         ## alignement chart labels
@@ -299,7 +299,7 @@ if option == "Inter-Annotator Agreement results":
          return fig
 
         f = plot_pies(to_pie)
-        tab5.pyplot(f.figure)
+        st.pyplot(f.figure)
 
 # global project results view