forked from phoenix-oss/llama-stack-mirror
16769256b7
# What does this PR do? New Pages Added: - (1) Inspect Distro - (2) Evaluations: - (a) native evaluations (including generation) - (b) application evaluations (no generation, scoring only) - (3) Playground: - (a) chat - (b) RAG ## Test Plan ``` streamlit run app.py ``` #### Playground https://github.com/user-attachments/assets/6ca617e8-32ca-49b2-9774-185020ff5204 #### Inspect https://github.com/user-attachments/assets/01d52b2d-92af-4e3a-b623-a9b8ba22ba99 #### Evaluations (Generation + Scoring) https://github.com/user-attachments/assets/345845c7-2a2b-4095-960a-9ae40f6a93cf #### Evaluations (Scoring) https://github.com/user-attachments/assets/6cc1659f-eba4-49ca-a0a5-7c243557b4f5 ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
23 lines
700 B
Python
23 lines
700 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import streamlit as st
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from modules.api import llama_stack_api
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def memory_banks():
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st.header("Memory Banks")
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memory_banks_info = {
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m.identifier: m.to_dict() for m in llama_stack_api.client.memory_banks.list()
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}
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if len(memory_banks_info) > 0:
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selected_memory_bank = st.selectbox(
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"Select a memory bank", list(memory_banks_info.keys())
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)
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st.json(memory_banks_info[selected_memory_bank])
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else:
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st.info("No memory banks found")
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