llama-stack/llama_stack/distribution/ui/page/distribution/resources.py
Xi Yan c1d18283d2
feat(eval api): (2.2/n) delete eval / scoring / scoring_fn apis (#1700)
# What does this PR do?
- To make it easier, delete existing `eval/scoring/scoring_function`
apis. There will be a bunch of broken impls here. The sequence is:
1. migrate benchmark graders
2. clean up existing scoring functions

- Add a skeleton evaluation impl to make tests pass. 

## Test Plan
tested in following PRs

[//]: # (## Documentation)
2025-03-19 11:04:23 -07:00

52 lines
1.5 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from streamlit_option_menu import option_menu
from llama_stack.distribution.ui.page.distribution.datasets import datasets
from llama_stack.distribution.ui.page.distribution.eval_tasks import benchmarks
from llama_stack.distribution.ui.page.distribution.models import models
from llama_stack.distribution.ui.page.distribution.shields import shields
from llama_stack.distribution.ui.page.distribution.vector_dbs import vector_dbs
def resources_page():
options = [
"Models",
"Vector Databases",
"Shields",
"Scoring Functions",
"Datasets",
"Benchmarks",
]
icons = ["magic", "memory", "shield", "file-bar-graph", "database", "list-task"]
selected_resource = option_menu(
None,
options,
icons=icons,
orientation="horizontal",
styles={
"nav-link": {
"font-size": "12px",
},
},
)
if selected_resource == "Benchmarks":
benchmarks()
elif selected_resource == "Vector Databases":
vector_dbs()
elif selected_resource == "Datasets":
datasets()
elif selected_resource == "Models":
models()
# TODO(xiyan): fix this
# elif selected_resource == "Scoring Functions":
# scoring_functions()
elif selected_resource == "Shields":
shields()
resources_page()