Create demo.py

demo.py

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+import streamlit as st
+from snowflake.snowpark.context import get_active_session
+
+st.set_page_config(layout='wide')
+session = get_active_session()
+
+def translate():
+    supported_languages = {'German':'de','French':'fr','Korean':'ko','Portuguese':'pt','English':'en','Italian':'it','Russian':'ru','Swedish':'sv','Spanish':'es','Japanese':'ja','Polish':'pl'}
+    with st.container():
+        st.header("Translate With Snowflake Cortex")
+        col1,col2 = st.columns(2)
+        with col1:
+            from_language = st.selectbox('From',dict(sorted(supported_languages.items())))
+        with col2:
+            to_language = st.selectbox('To',dict(sorted(supported_languages.items())))
+        entered_text = st.text_area("Enter text",label_visibility="hidden",height=300,placeholder='For example: call customer transcript')
+        if entered_text:
+          entered_text = entered_text.replace("'", "\\'")
+          cortex_response = session.sql(f"select snowflake.cortex.translate('{entered_text}','{supported_languages[from_language]}','{supported_languages[to_language]}') as response").to_pandas().iloc[0]['RESPONSE']
+          st.write(cortex_response)