How-to guide
How to Choose Which Turns Show Ads in Streamlit
This guide shows how to choose which turns show ads in a Streamlit app, the goal being to control ad placement and frequency across a conversation. 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
Not every turn in a Streamlit conversation should carry an ad. Placement and frequency shape both revenue and user experience: too many ads erodes trust, too few leaves revenue on the table.
You control this by deciding which responses you route through injection — for example, skipping very short replies or the first turn, and allowing ads on substantive answers where a recommendation is genuinely useful.
Streamlit apps are usually built for AI demos, internal LLM tools, and chat prototypes with st.chat_message, so choose which turns show ads 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
- Decide your policy: which Streamlit turns are ad-eligible (e.g. skip trivial or first replies).
- Route only eligible turns through the injection call.
- Measure revenue and engagement, then adjust frequency.
Frequently asked questions
Start monetizing in about 5 minutes
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