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import gradio as gr | |
from prompt import iface_prompt | |
from chat import iface_chat | |
with gr.Blocks() as iface: | |
gr.Markdown("""# Petals playground | |
**Let's play with prompts and inference settings for BLOOM and BLOOMZ 176B models!** | |
This space uses websocket API of [chat.petals.ml](http://chat.petals.ml). Health status of Petals network [lives here](http://health.petals.ml). | |
Do NOT talk to BLOOM as an entity, it's not a chatbot but a webpage/blog/article completion model. | |
For the best results: MIMIC a few sentences of a webpage similar to the content you want to generate. | |
BLOOMZ performs better in chat mode and understands the instructions better.""") | |
gr.TabbedInterface([iface_prompt, iface_chat], ["Prompt mode", "Chat mode"]) | |
# Queues are required to enable generators | |
iface.queue(concurrency_count=5, max_size=50) | |
iface.launch(show_error=True) | |