import json
import streamlit as st
from scrapegraphai.graphs import SearchGraph

st.title("AI Query Application")

query_prompt = st.text_input("Enter your AI query", value="List me all the attributes of 'cannabis strain'.")

if st.button("Fetch Data from AI"):
    # Define the configuration for the graph based on user input
    graph_config = {
        "llm": {
            "api_key": st.secrets["OPENAI_API_KEY"],
            "model": "gpt-3.5-turbo",
            "temperature": 0,
        },
    }

    # Create the SearchGraph instance dynamically
    search_graph = SearchGraph(prompt=query_prompt, config=graph_config)

    try:
        # Run the graph to fetch results
        result = search_graph.run()
        # Convert the result to a JSON string with indentation for better readability
        output = json.dumps(result, indent=2)
        # Display each line of the JSON output
        st.text_area("Result", value=output, height=300)
    except Exception as e:
        st.error(f"An error occurred: {e}")