import streamlit as st import pandas as pd import json # Title of the app st.title('Gen AI Jam JSON Visualizer') # File uploader widget uploaded_file = st.file_uploader("Choose a JSON file", type=['json']) if uploaded_file is not None: # Reading the file file_data = json.load(uploaded_file) # If the JSON is deeply nested, you may need to normalize it to create a flat table if isinstance(file_data, list): # Assuming the JSON is an array of records df = pd.json_normalize(file_data) else: df = pd.json_normalize(file_data, max_level=1) # Display the dataframe as a table st.write(df) st.download_button( label="Download CSV", data=df.to_csv(index=False).encode('utf-8'), file_name='table.csv', mime='text/csv', )