Can I add Monetzly to an existing Gradio app without rewriting it?

Mostly. Your Gradio code stays the same; you add a gRPC client (generated from the shipped tps_alter.proto), or a small Node sidecar, that pipes your token stream through Monetzly and back.

Will ads hurt the Gradio chat experience?

Ads are contextual and clearly labelled, placed inside the response stream rather than as competing banners, so the conversation stays the focus.

Do free users of my Gradio app still earn revenue?

That is the point of the model: every session can earn through in-conversation ads, so you are not forced to paywall casual users to make the app viable.

How long does the Gradio integration take?

Plan for a bit more than the JS path: you generate gRPC stubs from the proto and wire the bidirectional stream. TODO_VERIFY the auth handshake before you rely on a timeline.

Monetize by framework

How to Monetize a Gradio AI App

Gradio is a python library for quickly building ML/LLM demo web UIs, popular on Hugging Face Spaces. Teams reach for it to build model demos, chat interfaces, and shareable AI prototypes. Those are exactly the always-on, conversational experiences where a subscription wall or a banner ad tends to feel out of place, which is where a contextual, in-conversation ad model fits better.

What building with Gradio usually looks like

A typical Gradio project centers on model demos, chat interfaces, and shareable AI prototypes. The interface is a conversation, and value is delivered turn by turn rather than behind a checkout.

That shape is great for users and hard for revenue: the moment you gate it behind a paywall, casual usage, the majority of traffic for most Gradio apps, drops off before it ever converts.

Why subscriptions and display ads are awkward for this stack

Subscriptions force a paying decision before the user has felt the value, and they leave every non-paying session earning nothing. Display networks (banners, sidebars) were built for static pages, not for a streaming Gradio response, they compete with the conversation for attention instead of belonging to it.

Monetzly takes the other path: relevant, clearly-marked ads are placed inside the assistant's response stream, so free users can stay free while the app still earns on every session.

How Monetzly integrates with 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.

Gradio runs on Python, and there is no official Monetzly Python SDK. Integration goes through the gRPC service that ships with the package (tps_alter.proto), or a small Node sidecar that uses the SDK. The auth handshake for a direct non-JS client still needs confirming before you publish.

Integration snippet

TODO_VERIFY: Gradio has no official Python SDK. This uses the shipped tps_alter.proto gRPC service, confirm the auth handshake (API key placement) for a direct gRPC client with Monetzly before publishing.

# 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.