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app.py
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app.py
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from src.constants import TABLE_NAME, DATABASE_NAME
import streamlit as st
import pandas as pd
import sqlite3
from src.sql_utils import respond_with_sql_analysis
from src.streamlit_utils import cleanup
from src.lida_utils import respond_with_lida_analysis
conn = sqlite3.connect(DATABASE_NAME)
cleanup()
uploaded_file = st.file_uploader("Choose a CSV of JSON file", type=["csv", "json"])
# uploaded_file = "data/data.csv"
# uploaded_file = "sample.csv"
if uploaded_file is None:
st.write("Please upload a valid CSV or JSON file ")
exit()
# file_extension = "." + uploaded_file.split(".")[1]
file_extension = "." + uploaded_file.name.split(".")[1]
print(file_extension)
df = None
if file_extension.lower() == ".csv":
df = pd.read_csv(uploaded_file)
elif file_extension.lower() == ".json":
df = pd.read_json(uploaded_file)
else:
print("Invalid file type!")
exit(0)
print(df)
st.subheader("Data")
st.write(df)
user_query = st.text_input(
"Enter your query",
placeholder="Eg: Which merchant has the maximum transactions and by how many?",
)
if not len(user_query):
exit()
# respond_with_lida_analysis(df, user_query)
respond_with_sql_analysis(df, conn, user_query)