Upload 3 metrics

app.py

@@ -2,17 +2,21 @@ import os
 import streamlit as st
 import json
 import tarfile
+from base64 import b64encode
 
 st.set_page_config(layout="wide")
 
-PARENT_PATH: str = os.path.join(os.path.dirname(os.path.abspath(__file__)))
-EVAL_DIR: str = os.path.join(PARENT_PATH, "eval-results")
+PARENT_DIR: str = os.path.join(os.path.dirname(os.path.abspath(__file__)))
+EVAL_DIR: str = os.path.join(PARENT_DIR, "eval-results")
 st.title("K2 Evaluation Gallery")
 st.markdown("""The K2 gallery allows one to browse the output of various evaluations on intermediate K2 checkpoints, which provides an intuitive understanding on how the model develops and improves over time.""")
 
+
 with st.sidebar:
-    html = f"<img src='https://www.llm360.ai/images/logo-highres.png' width='100' /><img src='https://huggingface.co/spaces/LLM360/k2-gallery/blob/main/k2-logo.svg' width='100' />"
-    st.markdown(html, unsafe_allow_html=True)
+    with open(os.path.join(PARENT_DIR, "k2-logo.svg"), 'r') as f:
+        b64 = b64encode(f.read().encode('utf-8')).decode("utf-8")
+        html = f"<img src='https://www.llm360.ai/images/logo-highres.png' width='100' /><img src='data:image/svg+xml;base64,{b64}' width='100' />"
+        st.markdown(html, unsafe_allow_html=True)
 
     metric = st.radio(
         "Choose a metric", options=os.listdir(os.path.join(EVAL_DIR))