Update app.py

app.py

@@ -45,25 +45,27 @@ def erdos_renyi_graph():
         m = 20  # 20 edges
         seed = 20160  # seed random number generators for reproducibility
 
-        # Create random graph
-        G = nx.gnm_random_graph(n, m, seed=seed)
-
-        # Display node properties
-        st.write("### Node Degree and Clustering Coefficient")
-        for v in nx.nodes(G):
-            st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
-
-        # Display adjacency list
-        st.write("### Adjacency List")
-        adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
-        st.text(adj_list)
-
-        # Visualize the graph
-        pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
-        fig, ax = plt.subplots()
-        nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
-        ax.set_title("Erdos-Renyi Random Graph")
-        st.pyplot(fig)
+        # Create a button for generating the graph
+        if st.button("Generate Graph"):
+            # Create random graph
+            G = nx.gnm_random_graph(n, m, seed=seed)
+
+            # Display node properties
+            st.write("### Node Degree and Clustering Coefficient")
+            for v in nx.nodes(G):
+                st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
+
+            # Display adjacency list
+            st.write("### Adjacency List")
+            adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
+            st.text(adj_list)
+
+            # Visualize the graph
+            pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
+            fig, ax = plt.subplots()
+            nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
+            ax.set_title("Erdos-Renyi Random Graph")
+            st.pyplot(fig)
 
     elif graph_mode == "Create Your Own":
         st.write("### Create Your Own Random Erdos-Renyi Graph")
@@ -74,25 +76,27 @@ def erdos_renyi_graph():
 
         seed = st.number_input("Seed", value=20160)
 
-        # Create random graph
-        G = nx.gnm_random_graph(n, m, seed=seed)
-
-        # Display node properties
-        st.write("### Node Degree and Clustering Coefficient")
-        for v in nx.nodes(G):
-            st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
-
-        # Display adjacency list
-        st.write("### Adjacency List")
-        adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
-        st.text(adj_list)
-
-        # Visualize the graph
-        pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
-        fig, ax = plt.subplots()
-        nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
-        ax.set_title("Erdos-Renyi Random Graph")
-        st.pyplot(fig)
+        # Create a button for generating the graph
+        if st.button("Generate Graph"):
+            # Create random graph
+            G = nx.gnm_random_graph(n, m, seed=seed)
+
+            # Display node properties
+            st.write("### Node Degree and Clustering Coefficient")
+            for v in nx.nodes(G):
+                st.write(f"Node {v}: Degree = {nx.degree(G, v)}, Clustering Coefficient = {nx.clustering(G, v)}")
+
+            # Display adjacency list
+            st.write("### Adjacency List")
+            adj_list = "\n".join([line for line in nx.generate_adjlist(G)])
+            st.text(adj_list)
+
+            # Visualize the graph
+            pos = nx.spring_layout(G, seed=seed)  # Seed for reproducible layout
+            fig, ax = plt.subplots()
+            nx.draw(G, pos=pos, ax=ax, with_labels=True, node_color="skyblue", edge_color="gray")
+            ax.set_title("Erdos-Renyi Random Graph")
+            st.pyplot(fig)
 
 # Display the corresponding page based on sidebar option
 if sidebar_option == "Graph: Erdos Renyi":