adding readme.md

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import os
 import torch
+from pathlib import Path
 from transformers import AutoTokenizer
 from jax import numpy as jnp
 import json
@@ -89,3 +90,10 @@ if query:
         )
 
     st.image(image_paths)
+
+
+def read_markdown_file(markdown_file):
+    return Path(markdown_file).read_text()
+
+intro_markdown = read_markdown_file("readme.md")
+st.markdown(intro_markdown, unsafe_allow_html=True)

readme.md

@@ -0,0 +1,27 @@
+# Italian CLIP
+
+....
+
+# Novel Contributions
+The original CLIP model was trained on 400millions text-image pairs; this amount of data is not available for Italian and the only datasets for captioning in the literature are MSCOCO-IT (translated version of MSCOCO) and WIT. To get competitive results we follewed three directions: 1) more data 2) better augmentation and 3) better training.
+
+## More Data
+
+## Better Augmentations
+
+## Better Training
+
+different optimizer and backbone freezing
+
+# Scientific Validity
+To better understand how well our clip-italian model works we run an experimental evaluation. Since this is the first clip-based model in Italian, we used the multilingual CLIP model as a comparison baseline. 
+
+We selected two different tasks: 
++ image-retrieval 
++ zero-shot classification
+            
+## Image Retrieval
+
+## Zero-shot classification
+
+# Broader Outlook