Spaces:
Sleeping
Sleeping
File size: 981 Bytes
0db48f0 884312d 0db48f0 2b88b3e 0db48f0 2b88b3e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | from fastapi import FastAPI
import gzip
import pickle
import uvicorn
app = FastAPI()
# Load model
with gzip.open("pivot.pkl.gz", "rb") as f:
pivot = pickle.load(f)
with gzip.open("knn_model.pkl.gz", "rb") as f:
model = pickle.load(f)
def recommend(anime_name):
anime_name = anime_name.lower().strip()
matches = [anime for anime in pivot.index if anime_name in anime.lower()]
if not matches:
return ["Anime not found"]
anime_name = matches[0]
index = pivot.index.get_loc(anime_name)
distances, indices = model.kneighbors(
pivot.iloc[index, :].values.reshape(1, -1),
n_neighbors=6
)
return [pivot.index[i] for i in indices[0][1:]]
@app.get("/")
def home():
return {"message": "API running"}
@app.get("/recommend")
def get_recommendations(anime: str):
return {"recommendations": recommend(anime)}
# 🚀 THIS WAS MISSING
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860) |