app.py

import streamlit as st
import pandas as pd
from groq import Groq

# Initialize Groq API client
GROQ_API_KEY = "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"
client = Groq(api_key=GROQ_API_KEY)

# Helper functions
def preprocess_data(uploaded_file):
    data = pd.read_csv(uploaded_file)
    return data

def generate_report(data, query):
    # This should include the retrieval and report generation logic from above
    return f"Report for query: {query}"

# Streamlit UI
st.title("Energy Usage Analysis Report Generator")
uploaded_file = st.file_uploader("Upload your CSV file", type=["csv"])

if uploaded_file:
    data = preprocess_data(uploaded_file)
    st.write("Dataset Preview:")
    st.dataframe(data.head())

    query = st.text_input("Enter your query:")
    if query:
        report = generate_report(data, query)
        st.write("Generated Report:")
        st.text(report)