Made the genre selection a dropdown

app.py

@@ -3,10 +3,10 @@ import pandas as pd
 import os
 
 # 1) Load movies.csv from extracted ml-32m dataset
-csv_path = os.path.join( "movies.csv")  # Adjust path if needed
+csv_path = os.path.join("movies.csv")  # Adjust path if needed
 df = pd.read_csv(csv_path)
 
-# 2) Normalize genres (if needed) and extract release year from title
+# 2) Normalize genres and extract release year from title
 df["genres"] = df["genres"].apply(lambda g: "|".join(g) if isinstance(g, list) else str(g))
 df["release_year"] = (
     df["title"]
@@ -17,7 +17,12 @@ df["release_year"] = (
 # 3) Deduplicate metadata
 metadata = df[["title", "genres", "release_year"]].drop_duplicates()
 
-# 4) Recommendation function
+# 4) Extract unique genres
+all_genres = set()
+df["genres"].str.split("|").apply(all_genres.update)
+genre_list = sorted(all_genres)
+
+# 5) Recommendation function
 def recommend_by_genre_year(genre: str, year: int, top_k: int = 5) -> str:
     mask_genre = metadata["genres"].str.lower().str.contains(genre.lower(), na=False)
     mask_year = metadata["release_year"].fillna(0) >= year
@@ -32,11 +37,11 @@ def recommend_by_genre_year(genre: str, year: int, top_k: int = 5) -> str:
         for _, row in picks.iterrows()
     )
 
-# 5) Gradio interface
+# 6) Gradio interface with dropdown genre selection
 iface = gr.Interface(
     fn=recommend_by_genre_year,
     inputs=[
-        gr.Textbox(label="Genre", placeholder="e.g. Action, Romance"),
+        gr.Dropdown(choices=genre_list, label="Select Genre"),
         gr.Number(label="Release Year (≥)", value=2010, precision=0),
         gr.Slider(1, 10, step=1, label="Number of Recommendations", value=5),
     ],
@@ -44,7 +49,7 @@ iface = gr.Interface(
     title="🎬 Genre & Year-Based Movie Recommender",
     description="""
 Loads local MovieLens metadata (ml-32m), extracts release years from titles,
-normalizes genres, and filters by genre substring & year. No internet required.
+normalizes genres, and filters by genre & year. No typing needed — just click!
 """,
 )