Create app.py

app.py

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+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)