cv

app.py

@@ -10,6 +10,7 @@ and playable instead of buried in a bullet point.
 
 import gradio as gr
 import numpy as np
+import spaces
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 
@@ -57,6 +58,7 @@ def retrieve(query: str, top_k: int = 3):
     return results
 
 
+@spaces.GPU
 def ask_the_cv(query, history):
     history = history or []
     results = retrieve(query)

requirements.txt

@@ -1,3 +1,4 @@
 gradio==6.20.0
+spaces
 scikit-learn>=1.3
 numpy>=1.24