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  3. Set Up the Monetzly SDK in Streamlit

How-to guide

How to Set Up the Monetzly SDK in Streamlit

This guide shows how to set up the Monetzly SDK in a Streamlit app, the goal being to get the SDK configured and connected before injecting any ads. It builds on the Monetzly gRPC service (no Python SDK exists for this stack), so the approach is specific to how Streamlit produces and streams responses.

Overview

Before you can monetize a Streamlit app, the Monetzly client needs configuring and connecting. This is a one-time setup: an API key, the ad-server address, and SSL settings, then a connection you open when a request starts and close when it ends.

Keep the API key in an environment variable, never in source. Use a non-SSL localhost address in development and your real ad-server host in production.

Streamlit apps are usually built for AI demos, internal LLM tools, and chat prototypes with st.chat_message, so set up the Monetzly SDK typically comes up while a user is mid-conversation, the moment where monetization has to be additive rather than disruptive.

How this works on Streamlit

Streamlit is Python, so there is no native SDK. Drive the shipped tps_alter.proto gRPC service from Python (or a Node sidecar) and render the injected tokens with st.write_stream. Confirm the non-JS auth handshake before publishing.

Since Streamlit is a Python stack with no official SDK, this task runs through the shipped tps_alter.proto gRPC service (or a Node sidecar); the auth handshake for a direct client is still TODO_VERIFY.

Steps

  1. Install the SDK (or, for a Python Streamlit stack, generate gRPC stubs from the shipped tps_alter.proto).
  2. Create a config with your API key, server address, and SSL flag.
  3. Open a connection at the start of a request and close it when the response finishes.

Integration snippet

TODO_VERIFY: Streamlit uses the gRPC proto path, confirm the auth handshake with Monetzly before relying on this in production.
# No Python SDK. Generate stubs from tps_alter.proto and drive ProcessStream
# (see the FastAPI page for the full bidi loop), then:
#
#   import streamlit as st
#   st.write_stream(inject(llm_tokens, prompt, session_id, api_key))
#
# TODO_VERIFY: auth handshake (API key placement) for a direct gRPC client.

Frequently asked questions

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