Create app.py

app.py

@@ -0,0 +1,56 @@
+import streamlit as st
+from pyserini.search.lucene import LuceneSearcher
+
+st.set_page_config(
+    page_title="Reddit CMV",
+    page_icon="📄",
+    layout="centered"
+)
+
+indexes = {"shoe-sizes": LuceneSearcher("index/cmv'-shoe-sizes-should-be-the-same-for-both-men-and-women"),
+           "social-media": LuceneSearcher("index/cmv'-social-media-is-the-most-destructive-addiction-in-our-society"),
+           "depression": LuceneSearcher("index/cmv'-the-others-have-it-worse-argument-is-terrible-and-should-never-be-used-in-an-actual-conversation-with-a-depressed-person"),
+           "metric-system": LuceneSearcher("index/cmv'-there-shouldnt-be-anything-other-than-the-metric-system."),
+           "best-time-period": LuceneSearcher("index/cmv'-today-is-the-best-time-period-in-human-history-to-be-alive-for-the-vast-majority-of-people."),
+          }
+
+@st.cache(suppress_st_warning=True, allow_output_mutation=True, show_spinner=False)
+def search_chat_noir(key, search_query):
+    return search(api_key=key, query=search_query)
+
+def result_html(result):
+    return (
+    f"<div>{(result.contents)}</div><br>"
+    )
+
+
+discussion = st.selectbox(
+    'How would you like to be contacted?',
+    indexes.keys())
+searcher = indexes[discussion]
+cola, colb, colc = st.columns([5,4,5])
+with colb:
+    st.write(discussion)
+
+col1, col2 = st.columns([9, 1])
+with col1:
+    search_query = st.text_input(label="",
+                placeholder="Search"
+            )
+
+with col2:
+    st.write('#')
+    button_clicked = st.button("🔎")
+
+
+if search_query or button_clicked:
+    search_results = searcher.search(query, k=10)
+    for result in search_results:
+        st.write(result_html(result), unsafe_allow_html=True)
+    
+with st.expander("Instructions", expanded=False):
+    st.markdown(
+        """
+        INSTRUCTIONS HERE
+	    """
+    )