app.py

import os
import streamlit as st
from langchain_community.graphs import Neo4jGraph
from langchain_groq import ChatGroq
from langchain.chains import GraphCypherQAChain
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Set environment variables
NEO4J_URI = "neo4j+s://64beefae.databases.neo4j.io"
NEO4J_USERNAME = "neo4j"
NEO4J_PASSWORD = "OTj5yGnWLF59yx4UX1g3xABarVOvVKiM3CT9L4bNkF8"
groq_api_key = os.getenv("GROQ_API_KEY")
GROQ_API_KEY = "groq_api_key"

# Print environment variables for debugging
print("NEO4J_URI:", NEO4J_URI)
print("NEO4J_USERNAME:", NEO4J_USERNAME)
print("NEO4J_PASSWORD:", NEO4J_PASSWORD)

try:
    # Initialize Neo4j graph
    graph = Neo4jGraph(url=NEO4J_URI, username=NEO4J_USERNAME, password=NEO4J_PASSWORD)

    # Load movie dataset into Neo4j
    moview_query = """
    LOAD CSV WITH HEADERS FROM
    'https://raw.githubusercontent.com/Pk-Kolhapurkar/graphdb_neo4j/main/indian%20movies.csv' AS row
    MERGE (m:Movie {id: row.ID})
    SET m.year = toInteger(row.Year),
        m.title = row['Movie Name'],
        m.timing = toInteger(row['Timing(min)']),
        m.rating = toFloat(row['Rating(10)']),
        m.votes = toInteger(row.Votes),
        m.language = row.Language
    FOREACH (genre IN split(row.Genre, '|') |
        MERGE (g:Genre {name: trim(genre)})
        MERGE (m)-[:IN_GENRE]->(g))
    """
    graph.query(moview_query)
    graph.refresh_schema()
except Exception as e:
    print("Error initializing Neo4jGraph:", str(e))

# Initialize LLM
llm = ChatGroq(groq_api_key=GROQ_API_KEY, model_name="Gemma2-9b-It")

# Create QA Chain
chain = GraphCypherQAChain.from_llm(graph=graph, llm=llm, verbose=True)

# Streamlit UI
st.title("Movie Director Finder")

query = st.text_input("Enter your query:", "Who was the director of the movie Casino")
if st.button("Find Director"):
    response = chain.invoke({"query": query})
    if response and response.get("result"):
        st.write(response["result"])
    else:
        st.write("I don't know the answer.")