Update home.py

home.py

@@ -1,5 +1,25 @@
-import streamlit as st
-
-st.title('batik')
-st.subheader('Abstract')
-st.markdown('Quantitative analysis of animal behavior represents a burgeoning frontier in neuroscience and ethology. Recent years have witnessed a proliferation of computational methods aimed at identifying behavioral subtypes, or "syllables," from video data. However, while significant advances have been made in behavior segmentation, comparatively few approaches address the interpretation of these behavior syllables, leaving researchers to spend considerable time curating and interpreting the characteristics of the behavioral subtype. Furthermore, most current techniques rely heavily on pose estimation—a prerequisite that, while useful, can introduce limitations concerning generalization in behavioral classification and discovery. Here, we introduce Batik, a system leveraging pre-trained and fine-tuned multimodal transformers to perform end-to-end behavior analysis directly from raw video. Batik excels at supervised behavior annotation, utilizing lightweight models trained on the transformer-extracted feature space to achieve state-of-the-art performance. By integrating a pre-trained vision transformer with a custom fine-tuned language model, Batik not only discovers behavior syllables but also provides expert-level interpretations of mouse behavior, directly from visual data. This comprehensive platform empowers researchers with automated behavior discovery and interpretation, significantly reducing the time burden on experimentalists. Coupled with an intuitive user interface, Batik offers a transformative tool for the next generation of behavioral analysis, showcasing the potential of what is possible with transformer-based language models for behavior.')
+import streamlit as st
+
+st.title('Batik: a vision-language model for end-to-end social behavior discovery, interpretation and annotation')
+
+st.header('Overview')
+
+st.markdown("""
+**Batik** is an advanced Streamlit-based application for the end-to-end analysis, discovery, and interpretation of animal social behaviors, leveraging state-of-the-art vision-language transformer models. Batik automates traditionally labor-intensive processes like behavior annotation and segmentation, while providing expert-level interpretation of behavioral subtypes directly from raw video inputs, bypassing the need for pose estimation.
+
+This app supports tasks like behavior classification, embedding generation, unsupervised clustering, and detailed behavioral analysis. Researchers can use Batik to significantly reduce the time spent on analyzing and interpreting complex animal behaviors in neuroscience and ethology experiments.
+""")
+
+# Center the image
+col1, col2, col3 = st.columns([1, 2, 1])
+
+with col1:
+    st.write("")
+
+with col2:
+    st.image('image_batik_pipeline.jpg', caption='Graphical Summary of Batik', use_column_width=True)
+
+with col3:
+    st.write("")
+
+st.markdown('---')