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Initial comit
Browse files- app.py +27 -0
- requirements.txt +48 -0
app.py
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import streamlit as st
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import wandb
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import pandas as pd
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# Initialize W&B API
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api = wandb.Api()
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# Replace with your W&B entity and project name
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entity = "urbaniak-bruno-safescanai"
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project = "pytorch-intro"
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# Fetch all runs from the project
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runs = api.runs(f"{entity}/{project}")
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# Select a specific run (or create a dropdown for the user to select)
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run = runs[0] # Example: selecting the first run
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# Fetch the run data as a pandas DataFrame
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run_df = run.history()
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# Streamlit UI
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st.title("W&B Data in Streamlit")
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st.write(f"Displaying data for run: {run.name}")
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st.dataframe(run_df)
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# Example: Plotting a graph from the data
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st.line_chart(run_df[['epoch', 'accuracy']]) # Replace with appropriate columns
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requirements.txt
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altair==5.3.0
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attrs==24.2.0
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blinker==1.8.2
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cachetools==5.4.0
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certifi==2024.7.4
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charset-normalizer==3.3.2
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click==8.1.7
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docker-pycreds==0.4.0
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gitdb==4.0.11
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GitPython==3.1.43
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idna==3.7
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Jinja2==3.1.4
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jsonschema==4.23.0
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jsonschema-specifications==2023.12.1
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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mdurl==0.1.2
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numpy==2.0.1
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packaging==24.1
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pandas==2.2.2
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pillow==10.4.0
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platformdirs==4.2.2
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protobuf==5.27.3
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psutil==6.0.0
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pyarrow==17.0.0
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pydeck==0.9.1
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Pygments==2.18.0
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python-dateutil==2.9.0.post0
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pytz==2024.1
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PyYAML==6.0.2
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referencing==0.35.1
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requests==2.32.3
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rich==13.7.1
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rpds-py==0.20.0
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sentry-sdk==2.12.0
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setproctitle==1.3.3
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six==1.16.0
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smmap==5.0.1
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streamlit==1.37.1
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tenacity==8.5.0
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toml==0.10.2
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toolz==0.12.1
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tornado==6.4.1
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typing_extensions==4.12.2
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tzdata==2024.1
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urllib3==2.2.2
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wandb==0.17.6
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watchdog==4.0.1
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