Made a start and end year

app.py

@@ -22,14 +22,15 @@ 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:
+# 5) Updated recommendation function with year range
+def recommend_by_genre_and_year_range(genre: str, start_year: int, end_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
+    year_col = metadata["release_year"].fillna(0)
+    mask_year = (year_col >= start_year) & (year_col <= end_year)
 
     candidates = metadata[mask_genre & mask_year]
     if candidates.empty:
-        return f"No '{genre.title()}' movies found from {year} onward."
+        return f"No '{genre.title()}' movies found between {start_year} and {end_year}."
 
     picks = candidates.sample(n=min(top_k, len(candidates)))
     return "\n".join(
@@ -37,19 +38,20 @@ def recommend_by_genre_year(genre: str, year: int, top_k: int = 5) -> str:
         for _, row in picks.iterrows()
     )
 
-# 6) Gradio interface with dropdown genre selection
+# 6) Gradio interface with year range inputs
 iface = gr.Interface(
-    fn=recommend_by_genre_year,
+    fn=recommend_by_genre_and_year_range,
     inputs=[
         gr.Dropdown(choices=genre_list, label="Select Genre"),
-        gr.Number(label="Release Year (≥)", value=2010, precision=0),
+        gr.Number(label="Start Year", value=1990, precision=0),
+        gr.Number(label="End Year", value=1995, precision=0),
         gr.Slider(1, 10, step=1, label="Number of Recommendations", value=5),
     ],
     outputs="text",
-    title="🎬 Genre & Year-Based Movie Recommender",
+    title="🎬 Movie Recommender by Genre & Year Range",
     description="""
 Loads local MovieLens metadata (ml-32m), extracts release years from titles,
-normalizes genres, and filters by genre & year. No typing needed — just click!
+normalizes genres, and filters by genre and custom year range. No typing needed — just click!
 """,
 )