Streamlit Dashboard for calling the SageMaker endpoint

dashboard.py

import streamlit as st

# define a block where the tweet can be written
text = st.text_input("Insert tweet here")

# codify the input text in a compatible SageMaker json
input_df = pd.DataFrame({"text":text}, index=[0]).to_json(orient="split")

# here we are printing out results
st.subheader("Sentiment:")

# and here we are calling the endpoint
st.write( query_endpoint(app_name=app_name, input_json=input_df))