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9012408 b0986f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 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(share=True)
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