Update app.py

app.py

@@ -20,20 +20,18 @@ graph = Neo4jGraph(url=NEO4J_URI, username=NEO4J_USERNAME, password=NEO4J_PASSWO
 # Load movie dataset into Neo4j
 moview_query = """
 LOAD CSV WITH HEADERS FROM
-'https://raw.githubusercontent.com/tomasonjo/blog-datasets/main/movies/movies_small.csv' as row
-MERGE(m:Movie{id:row.movieId})
-SET m.released = date(row.released),
-    m.title = row.title,
-    m.imdbRating = toFloat(row.imdbRating)
-FOREACH (director in split(row.director, '|') | 
-    MERGE (p:Person {name:trim(director)})
-    MERGE (p)-[:DIRECTED]->(m))
-FOREACH (actor in split(row.actors, '|') | 
-    MERGE (p:Person {name:trim(actor)})
-    MERGE (p)-[:ACTED_IN]->(m))
-FOREACH (genre in split(row.genres, '|') | 
-    MERGE (g:Genre {name:trim(genre)})
+'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()