Update app.py

app.py

@@ -1,23 +1,23 @@
-import gradio as gr
-from api import MovieRecommender
-
-recommender = MovieRecommender()
-
-def recommend_movies(prompt, topk):
-    df = recommender.recommend(prompt, topk=int(topk))
-    return df
-
-demo = gr.Interface(
-    fn=recommend_movies,
-    inputs=[
-        gr.Textbox(label="Movie prompt", placeholder="action thriller with robots"),
-        gr.Slider(1, 20, value=5, step=1, label="Top K")
-    ],
-    outputs=gr.Dataframe(label="Recommendations"),
-    title="🎬 Movie Nerd",
-    description="Prompt-based movie recommendations using embeddings"
-)
-
-if __name__ == "__main__":
-    demo.launch()
+import gradio as gr
+from api import MovieRecommender
+
+recommender = MovieRecommender()
+
+def recommend_movies(prompt, topk):
+    df = recommender.recommend(prompt, topk=int(topk))
+    return df
+
+demo = gr.Interface(
+    fn=recommend_movies,
+    inputs=[
+        gr.Textbox(label="Movie prompt", placeholder="action thriller with robots"),
+        gr.Slider(1, 20, value=5, step=1, label="Top K")
+    ],
+    outputs=gr.Dataframe(label="Recommendations"),
+    title="🎬 Movie Nerd",
+    description="Prompt-based movie recommendations using embeddings"
+)
+
+if __name__ == "__main__":
+    demo.launch(share=True)