working streamlit app

requirements.txt

@@ -1,4 +1,5 @@
 flask
 Flask-SocketIO
 pandas
-openai
+openai
+streamlit

streamlit_app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+import pandas as pd
+import time
+
+
+df = pd.DataFrame(
+    [
+        {'building': 'Empire State', 'location': "NYC", 'height':1000},
+        {'building': 'B', 'location': "LA", 'height':600},
+        {'building': 'c', 'location': "Paris", 'height':900},
+        {'building': 'C', 'location': "SF", 'height':800},
+        {'building': 'P', 'location': "Dallas", 'height':500},
+    ]
+)
+
+
+
+st.title('IZE')
+st.subheader('Use natural language to visualize and analyze your data')
+
+st.dataframe(df.head())
+
+example = 'Ex: How many rows are there?'
+user_input = st.text_input("Input your Query here", example)
+
+if user_input and user_input != example:
+    with st.spinner("Loading..."):
+        time.sleep(2)
+
+        if user_input:
+            st.text(user_input)
+
+

streamlit_note.txt

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+Streamlit is literally perfect and a build your own web app that will make this infinitely easier
+
+File uploader: https://docs.streamlit.io/en/stable/api.html?highlight=file#streamlit.file_uploader
+
+spinner: https://docs.streamlit.io/en/stable/api.html#streamlit.spinner
+
+Deploy with authentication: https://discuss.streamlit.io/t/deployment-on-aws-with-authentication/4073
+
+Deployment wiki: https://discuss.streamlit.io/t/streamlit-deployment-guide-wiki/5099
+
+Session state: https://gist.github.com/tvst/036da038ab3e999a64497f42de966a92