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This commit is contained in:
Xi Yan 2024-12-02 20:11:32 -08:00
parent 06b9566eb6
commit 114595ce71
7 changed files with 148 additions and 6 deletions

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# 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.
import streamlit as st
from modules.api import llama_stack_api
# Eval Tasks Section
st.header("Eval Tasks")
eval_tasks_info = {
d.identifier: d.to_dict() for d in llama_stack_api.client.eval_tasks.list()
}
selected_eval_task = st.selectbox("Select an eval task", list(eval_tasks_info.keys()))
st.json(eval_tasks_info[selected_eval_task], expanded=True)

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# 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.
import streamlit as st
from modules.api import llama_stack_api
st.header("Memory Banks")
memory_banks_info = {
m.identifier: m.to_dict() for m in llama_stack_api.client.memory_banks.list()
}
if len(memory_banks_info) > 0:
selected_memory_bank = st.selectbox(
"Select a memory bank", list(memory_banks_info.keys())
)
st.json(memory_banks_info[selected_memory_bank])
else:
st.info("No memory banks found")

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# 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.
import streamlit as st
from modules.api import llama_stack_api
# Models Section
st.header("Models")
models_info = {m.identifier: m.to_dict() for m in llama_stack_api.client.models.list()}
selected_model = st.selectbox("Select a model", list(models_info.keys()))
st.json(models_info[selected_model])

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# 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.
import streamlit as st
from modules.api import llama_stack_api
st.header("API Providers")
apis_providers_info = llama_stack_api.client.providers.list()
# selected_api = st.selectbox("Select an API", list(apis_providers_info.keys()))
for api in apis_providers_info.keys():
st.markdown(f"###### {api}")
st.dataframe([p.to_dict() for p in apis_providers_info[api]], width=500)

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# 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.
import streamlit as st
from modules.api import llama_stack_api
st.header("Scoring Functions")
scoring_functions_info = {
s.identifier: s.to_dict() for s in llama_stack_api.client.scoring_functions.list()
}
selected_scoring_function = st.selectbox(
"Select a scoring function", list(scoring_functions_info.keys())
)
st.json(scoring_functions_info[selected_scoring_function], expanded=True)

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# 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.
import streamlit as st
from modules.api import llama_stack_api
# Shields Section
st.header("Shields")
shields_info = {
s.identifier: s.to_dict() for s in llama_stack_api.client.shields.list()
}
selected_shield = st.selectbox("Select a shield", list(shields_info.keys()))
st.json(shields_info[selected_shield])