diff --git a/app.py b/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..45c4b1fb016007531581c3bae81f47d1ae27c1d0
--- /dev/null
+++ b/app.py
@@ -0,0 +1,153 @@
+import os
+
+import streamlit as st
+import streamlit.components.v1 as components
+from datasets import load_dataset
+
+
+st.set_page_config(page_title="Gaia Search", layout="wide")
+
+os.makedirs(os.path.join(os.getcwd(), ".streamlit"), exist_ok=True)
+with open(os.path.join(os.getcwd(), ".streamlit/config.toml"), "w") as file:
+ file.write('[theme]\nbase="light"')
+
+
+st.sidebar.markdown(
+ """
+
+Gaia Search 🌖🌏
+ A search engine for the LAION large scale image caption corpora
+""",
+ unsafe_allow_html=True,
+)
+
+st.sidebar.markdown(
+ """
+
+
+GitHub | Project Report
+
+
+
+ 
+
+
+""",
+ unsafe_allow_html=True,
+)
+
+query = st.sidebar.text_input(label="Search query", value="")
+
+footer = """
+
+"""
+st.sidebar.markdown(footer, unsafe_allow_html=True)
+
+
+searcher = LuceneSearcher("index")
+ds = load_dataset("imdb", split="train")
+
+
+def search(query):
+ hits = searcher.search(query, k=10)
+ results = ds.select([int(hit.docid) for hit in hits])
+ return results + "
"
+
+
+if st.sidebar.button("Search"):
+ results = search(query)
+ rendered_results = f"""
+
+
+ {results}
+
+ """
+ st.markdown(
+ """
+
+ """,
+ unsafe_allow_html=True,
+ )
+ st.markdown(
+ """
+
+ """,
+ unsafe_allow_html=True,
+ )
+ st.markdown(
+ f"""
+
+ Gaia Search 🌖🌏
+
+
+
+
+
+
+