first commit

app.py

@@ -3,8 +3,8 @@ import gradio as gr
 import fasttext, torch, clip
 from sentence_transformers import SentenceTransformer, util
  
-model_en, preprocess_en = clip.load(model_tag="ViT-B/32")
-model_multi = SentenceTransformer(model_tag="sentence-transformers/clip-ViT-B-32-multilingual-v1")
+model_en, _ = clip.load("ViT-B/32")
+model_multi = SentenceTransformer("sentence-transformers/clip-ViT-B-32-multilingual-v1")
 
 def prep_examples():
     example_text1 = "Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Most \
@@ -85,7 +85,6 @@ def sequence_to_classify(text, labels):
 	lang = detect_lang(text)
 	if lang == 'en':
 		model = model_en
-		preprocess = preprocess_en
 		hypothesis_template = "This example is {}."
 	else:
 		model = model_multi