Update app.py

app.py

@@ -7,22 +7,6 @@ import os
 import pandas as pd
 import gradio as gd
 
-# Get the current directory
-current_directory = os.getcwd()
-
-# Define the model name
-model_name = 'sentence-transformers/clip-ViT-B-32'
-
-# Load the model and tokenizer
-model = AutoModel.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-# Save the model and tokenizer to the current directory
-model.save_pretrained(current_directory)
-tokenizer.save_pretrained(current_directory)
-
-print(f"Model and tokenizer saved in the current directory: {current_directory}")
-
 embeddings = SentenceTransformerEmbeddings(model_name='sentence-transformers/clip-ViT-B-32')
 
 def get_results(search_results):