What session id should I use in Gradio?

Any stable identifier for the conversation — reuse your existing Gradio session or thread id so turns are grouped correctly.

Is passing the prompt required for Gradio?

It is optional but strongly recommended: the prompt is what makes the injected ad contextually relevant to the current turn.

How-to guide

How to Pass Session Context to Ads in Gradio

This guide shows how to pass session context to ads in a Gradio app, the goal being to supply session id, prompt, and metadata so injected ads are relevant. It builds on the Monetzly gRPC service (no Python SDK exists for this stack), so the approach is specific to how Gradio produces and streams responses.

Overview

Ad relevance in a Gradio app comes from context. When you inject, you pass a session id, the live prompt, and optional metadata — that is what lets Monetzly match a recommendation to what the user is actually asking about in that turn.

The session id groups turns from the same conversation; the prompt drives per-turn relevance; metadata carries anything extra you want to target on. All are supplied per injection call.

Gradio apps are usually built for model demos, chat interfaces, and shareable AI prototypes, so pass session context to 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 Gradio

Gradio is Python. Drive the shipped tps_alter.proto gRPC service (or a Node sidecar) and yield injected tokens from a gr.ChatInterface generator fn for streaming output. Confirm the non-JS auth handshake before publishing.

Since Gradio 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

Choose a stable session id for the conversation (reuse your Gradio session or thread id).
Pass the current user prompt on each injection call.
Add optional metadata (topic, user type) to sharpen targeting.

Integration snippet

TODO_VERIFY: Gradio 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 in a streaming chat fn:
#
#   async def respond(message, history):
#       out = ""
#       async for token in inject(llm_tokens, message, session_id, api_key):
#           out += token
#           yield out
#
# TODO_VERIFY: auth handshake (API key placement) for a direct gRPC client.