Update app.py

use fuzzy search with difflib for better results

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pandas as pd
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
+import difflib
 
 df = pd.read_csv("movies.csv")
 features = ["keywords", "cast", "genres", "director"]
@@ -21,7 +22,8 @@ vector_matrix.toarray()
 cosine_sim = cosine_similarity(vector_matrix)
 
 def get_index_from_title(title):
-    return df[df.title == title]["index"].values[0]
+    search = difflib.get_close_matches(title, df['title'])[0]
+    return df[df.title == search]["index"].values[0]
 
 def get_title_from_index(index):
     return df[df.index == index]["title"].values[0]