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Delete app_mlflow.py
Browse files- app_mlflow.py +0 -30
app_mlflow.py
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# app.py
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import streamlit as st
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import mlflow
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import pandas as pd
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# Set the MLflow tracking URI (e.g., local file system or a remote server)
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mlflow.set_tracking_uri("http://localhost:5000")
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def main():
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st.title("Streamlit and MLflow Integration")
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# Retrieve the list of experiments
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experiments = mlflow.list_experiments()
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experiment_names = [exp.name for exp in experiments]
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experiment_id_map = {exp.name: exp.experiment_id for exp in experiments}
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# Create a dropdown menu to select an experiment
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selected_experiment = st.selectbox("Select an experiment:", experiment_names)
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# Get the runs for the selected experiment
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if selected_experiment:
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experiment_id = experiment_id_map[selected_experiment]
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runs = mlflow.search_runs(experiment_ids=[experiment_id])
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# Display the runs in a table
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st.write("Runs for the selected experiment:")
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st.write(runs)
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if __name__ == "__main__":
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main()
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