Create research_app.py

research_app.py

@@ -0,0 +1,55 @@
+import streamlit as st
+import pandas as pd
+
+# Function to export data based on format choice
+def export_data(data, format_choice):
+    if format_choice == 'CSV':
+        data.to_csv('exported_data.csv', index=False)
+    elif format_choice == 'JSON':
+        data.to_json('exported_data.json', orient='records')
+    elif format_choice == 'Excel':
+        data.to_excel('exported_data.xlsx', index=False)
+    else:
+        st.error("Unsupported format choice!")
+
+# Streamlit app
+def main():
+    st.title("Research Data Export")
+
+    # File upload section
+    st.header("Upload your data")
+    uploaded_file = st.file_uploader("Choose a file", type=["csv", "json", "xlsx"])
+
+    if uploaded_file is not None:
+        file_extension = uploaded_file.name.split(".")[-1]
+
+        try:
+            if file_extension == 'csv':
+                data = pd.read_csv(uploaded_file)
+            elif file_extension == 'json':
+                data = pd.read_json(uploaded_file)
+            elif file_extension in ['xlsx', 'xls']:
+                data = pd.read_excel(uploaded_file)
+            else:
+                st.error("Unsupported file format!")
+                return
+
+            st.success("Data loaded successfully!")
+            
+            # Display loaded data
+            st.subheader("Loaded Data")
+            st.dataframe(data)
+
+            # Format export section
+            st.header("Export your data")
+            export_format = st.selectbox("Select export format", ["CSV", "JSON", "Excel"])
+
+            if st.button("Export"):
+                export_data(data, export_format)
+                st.success(f"Data exported successfully as {export_format}")
+
+        except Exception as e:
+            st.error(f"Error: {e}")
+
+if __name__ == "__main__":
+    main()