Update pages/Entorno de Ejecución.py

pages/Entorno de Ejecución.py

@@ -20,7 +20,7 @@ st.sidebar.write("contact@patacotron.tech")
 
 cnn, vit, zero_shot, autoencoder, svm, iforest, gan = st.tabs(["CNN", "ViT", "Zero-Shot", "Autoencoder", "OC-SVM", 'iForest', 'GAN'])
 
-@st.experimental_singleton
+@st.cache_resource
 def predict(_model_list, _weights, _img): 
     y_gorrito = 0
     raw_img = cv2.cvtColor(_img, cv2.COLOR_BGR2RGB)
@@ -42,7 +42,7 @@ def multiclass_prediction(classifier): #made for hf zero-shot pipeline results
     labels = [predict['label'] for predict in classifier if score == predict['score']]
     return (labels[0] if len(labels) == 1 else labels, score)
 
-@st.experimental_singleton
+@st.cache_resource
 def load_clip():
     classifier = pipeline("zero-shot-image-classification", model = 'openai/clip-vit-large-patch14-336')
     return classifier