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| import streamlit as st | |
| from dotenv import load_dotenv | |
| import phoenix_helpers | |
| import helpers | |
| load_dotenv() | |
| models = helpers.fetch_models() | |
| if models: | |
| st.subheader("Select a Model") | |
| if "selected_model" not in st.session_state: | |
| st.session_state.selected_model = models[0] | |
| st.selectbox( | |
| "Choose a model to use:", | |
| models, key = 'selected_model', | |
| index=models.index(st.session_state.selected_model) if st.session_state.selected_model in models else 0 | |
| ) | |
| datasetName = st.text_input("Dataset name") | |
| if datasetName: | |
| dataset = phoenix_helpers.get_dataset(name=datasetName) | |
| # df = dataset = dataset.as_dataframe() | |
| eval_res = phoenix_helpers.modelExperiment(st.session_state.selected_model,dataset) | |
| st.dataframe(eval_res) |