Update BNewmark_app.py

Author: Normando1945

fun_BNewmark/Simple_App/BNewmark_app.py

@@ -113,39 +113,29 @@
 
 
 ################################################ Selection of Record #################################################
-# Selection of Record
 at2_files = glob.glob('*.AT2')
 
-if len(at2_files) > 0:
-    col1, col2 = st.columns([1, 2])
-    with col1:
-        st.markdown('**Seismic Records in the Directory**')
-        srd = pd.DataFrame(at2_files, columns=["Record Files"])
-        st.write(srd)
-    
-    with col2:
-        st.markdown('**Select a Record form the list**')
-        row_numbers = list(range(len(srd)))
-        aux = st.selectbox('**Record #**:', row_numbers)
-        
-        if aux is not None:
-            st.metric(label='Record Selected', value=at2_files[aux])
-            with open(at2_files[aux], 'r') as f:
-                contents = f.read()
-            lines = contents.splitlines()
-            data = []
-            for line in lines:
-                time, accel = line.split()
-                data.append((float(time), float(accel)))
-            Seismic = pd.DataFrame(data, columns=["Time [s]", "Acceleration [g]"])
-            
-            # Further processing of the selected record
-            TG = np.vstack([item[0] for item in data])  # Extracting the first column of data (time) as a NumPy array
-            SG = np.vstack([item[1] for item in data])  # Extracting the second column of data (Acceleration) as a NumPy array
 
-            # Other parts of your code for plotting and displaying results remain the same
-else:
-    st.warning("No seismic records found in the directory.")
+col1, col2 = st.columns([1,2])
+with col1:
+    st.markdown('**Seismic Records in the Directory**')
+    srd = pd.DataFrame(at2_files)
+    st.write(srd)
+
+with col2:
+    st.markdown('**Select a Record form the list**')
+    row_numbers = list(range(len(srd)))
+    aux = st.selectbox('**Record #**:', row_numbers)
+    st.metric(label='Record Selected', value= at2_files[aux])
+    
+    with open(at2_files[aux], 'r') as f:
+        contents = f.read()
+    lines = contents.splitlines()
+    data = []
+    for line in lines:
+        time, accel = line.split()
+        data.append((float(time), float(accel)))
+    Seismic = pd.DataFrame(data, columns=["Time [s]", "Acceleration [g]"])
 
 
     ################################################ Convertion of Selected Record #################################################