Update app.py

app.py

@@ -239,28 +239,28 @@ if app_choice == "🔁 Protein Repeat Finder":
         result_df = pd.DataFrame(rows)
         st.dataframe(result_df)
         
-    if st.checkbox("Repeat Cluster Visualization"):
-        repeat_counts = defaultdict(int)
-        for seq_data in st.session_state.all_sequences_data:
-            for _, _, freq_dict in seq_data:
-                for repeat, count in freq_dict.items():
-                    repeat_counts[repeat] += count
-
-        if repeat_counts:
-            sorted_repeats = sorted(repeat_counts.items(), key=lambda x: x[1], reverse=True)
-            top_n = st.slider("Select number of top repeats to visualize", min_value=5, max_value=50, value=20)
-            top_repeats = sorted_repeats[:top_n]
-            repeats, counts = zip(*top_repeats)
-
-            plt.figure(figsize=(12, 6))
-            sns.barplot(x=list(repeats), y=list(counts), palette="viridis")
-            plt.xticks(rotation=45, ha='right')
-            plt.xlabel("Repeats")
-            plt.ylabel("Total Frequency")
-            plt.title("Top Repeat Clusters Across All Sequences")
-            st.pyplot(plt.gcf())
-        else:
-            st.warning("No repeat data available to visualize. Please upload files first.")
+    # if st.checkbox("Repeat Cluster Visualization"):
+    #     repeat_counts = defaultdict(int)
+    #     for seq_data in st.session_state.all_sequences_data:
+    #         for _, _, freq_dict in seq_data:
+    #             for repeat, count in freq_dict.items():
+    #                 repeat_counts[repeat] += count
+
+    #     if repeat_counts:
+    #         sorted_repeats = sorted(repeat_counts.items(), key=lambda x: x[1], reverse=True)
+    #         top_n = st.slider("Select number of top repeats to visualize", min_value=5, max_value=50, value=20)
+    #         top_repeats = sorted_repeats[:top_n]
+    #         repeats, counts = zip(*top_repeats)
+
+    #         plt.figure(figsize=(12, 6))
+    #         sns.barplot(x=list(repeats), y=list(counts), palette="viridis")
+    #         plt.xticks(rotation=45, ha='right')
+    #         plt.xlabel("Repeats")
+    #         plt.ylabel("Total Frequency")
+    #         plt.title("Top Repeat Clusters Across All Sequences")
+    #         st.pyplot(plt.gcf())
+    #     else:
+    #         st.warning("No repeat data available to visualize. Please upload files first.")