Update src/streamlit_app.py

src/streamlit_app.py

@@ -13,33 +13,33 @@ import plotly.express as px
 
 def data():
     uploaded_data = st.file_uploader('📂 Upload Data File', type=['csv', 'txt', 'xlsx'])
-        if uploaded_data is not None:
-            file_type = uploaded_data.type
-        
-            if file_type == 'text/plain':
-                delimiter = st.radio('Select delimiter (separator)', [',', '\t', '|', ' ', 'Auto Detect'])
-                if delimiter == 'Auto Detect':
-                    try:
-                        df = pd.read_csv(uploaded_data, sep=None, engine='python')
-                    except Exception:
-                        st.error("Could not auto-detect delimiter (separator), try selecting one manually.")
-                        return None
-                else:
-                    df = pd.read_csv(uploaded_data, sep=delimiter)
-        
-            elif file_type == 'text/csv':
-                df = pd.read_csv(uploaded_data)
-        
-            elif file_type == 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet':
-                df = pd.read_excel(uploaded_data)
-            
+    if uploaded_data is not None:
+        file_type = uploaded_data.type
+    
+        if file_type == 'text/plain':
+            delimiter = st.radio('Select delimiter (separator)', [',', '\t', '|', ' ', 'Auto Detect'])
+            if delimiter == 'Auto Detect':
+                try:
+                    df = pd.read_csv(uploaded_data, sep=None, engine='python')
+                except Exception:
+                    st.error("Could not auto-detect delimiter (separator), try selecting one manually.")
+                    return None
             else:
-                st.error("Unsupported file type.")
-                return None
+                df = pd.read_csv(uploaded_data, sep=delimiter)
+    
+        elif file_type == 'text/csv':
+            df = pd.read_csv(uploaded_data)
+    
+        elif file_type == 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet':
+            df = pd.read_excel(uploaded_data)
         
-            st.write('### 🔍 Dataset Preview')
-            st.dataframe(df.head())
-            return df
+        else:
+            st.error("Unsupported file type.")
+            return None
+    
+        st.write('### 🔍 Dataset Preview')
+        st.dataframe(df.head())
+        return df
             
         return None