--- a
+++ b/app/demo_models.py
@@ -0,0 +1,34 @@
+import streamlit as st 
+from inference import detect_concept 
+
+
+HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem">{}</div>"""
+
+def main():
+	"""Concept Streamlit App"""
+
+	st.title("Concept Checker")
+
+	activities = ["Concept","Assertion","Relation"]
+	choice = st.sidebar.selectbox("Select Activity", activities)
+
+	if choice == 'Concept':
+        output = []
+		st.subheader("Medical Concepts")
+		raw_text = st.text_area("Enter Text Here","Type Here")
+		if st.button("Summarize"):
+            ner_result = detect_concept(raw_text)
+            # TODO: format the result for NER
+            result = "..."
+			st.write(result)
+
+	if choice == 'Assertion':
+
+
+	if choice == 'Relation':
+				
+		
+
+
+if __name__ == '__main__':
+	main()
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