chore: added explanation

image2text.py

@@ -13,7 +13,8 @@ def app(model_name):
     st.title("Zero-shot Image Classification")
     st.markdown(
         """
-        Some text goes in here.
+        This demonstration explores capability of KoCLIP in the field of Zero-Shot Prediction. This demo takes a set of image and captions from, and predicts the most likely label among the different captions given. 
+KoCLIP is a retraining of OpenAI's CLIP model using 82,783 images from MSCOCO dataset and Korean caption annotations. Korean translation of caption annotations were obtained from AI Hub. Base model koclip uses klue/roberta as text encoder and openai/clip-vit-base-patch32 as image encoder. Larger model koclip-large uses klue/roberta as text encoder and bigger google/vit-large-patch16-224 as image encoder.
     """
     )