app.py

import streamlit as st
import pandas as pd
import requests

# Function to perform web search (placeholder)
def perform_web_search(query):
    # Here you would integrate with a web scraping API
    # For demonstration, we will return a mock response
    return f"Results for query: {query}"

# Streamlit app
st.title("AI Agent Dashboard")

# File upload
uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])

if uploaded_file is not None:
    # Read the CSV file
    df = pd.read_csv(uploaded_file)
    st.write("Uploaded Data:")
    st.dataframe(df)

    # Select the main column
    column_name = st.selectbox("Select the main column", df.columns)

    # Input for custom query
    query_template = st.text_input("Enter your query (use {entity} as placeholder)", "Get me the email address of {entity}")

    if st.button("Search"):
        if column_name:
            results = []
            for entity in df[column_name]:
                query = query_template.format(entity=entity)
                result = perform_web_search(query)
                results.append(result)

            # Display results
            st.write("Search Results:")
            for result in results:
                st.write(result)
        else:
            st.warning("Please select a column first.")