Maria Dyshel commited on
Commit
a4d2df9
1 Parent(s): c629821

added uploading data

Browse files
Files changed (5) hide show
  1. .gitignore +106 -0
  2. Home.py +2 -2
  3. assets/delvin_logo.png +0 -0
  4. pages/1_Data.py +20 -0
  5. requirements.txt +4 -0
.gitignore ADDED
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+ # BigData and Models
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+ *.joblib
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+ *.pickle
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+
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+ # DL models
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+ *.pt
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+ **/checkpoints/
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+ **/checkpoint/
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+
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+ # src/nlpia2/data
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+ db.sqlite3
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+ *.bz2
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+ *.zip
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+ *.pkl
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+ *.npy
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+ *.pkl
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+ *.db
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+ *.faiss
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+
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+ # submodules
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+
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+ # Temporary and binary files
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+ *~
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+ *.py[cod]
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+ *.so
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+ *.cfg
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+ !.isort.cfg
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+ *.orig
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+ *.log
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+ *.pot
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+ .pytest_cache/*
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+ __pycache__/*
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+ .DS_*
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+ .cache/*
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+ .*.swp
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+ .ipynb_checkpoints
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+ */.ipynb_checkpoints/*
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+ .coverage*
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+ cache_dir/
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+
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+ # repo2docker
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+ .ipython
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+ .jupyter
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+ .jupyter-server-log.txt
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+
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+ # pypi package setup files
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+ # pyproject must not be in root dir for `pip install -e .` to work
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+ # pyproject.toml
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+ # !scripts/pyproject.toml
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+ # !setup.cfg
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+
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+ # Internal working cache for poetry
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+ poetry.lock
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+
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+ # Project files
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+ .ropeproject
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+ .project
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+ .pydevproject
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+ .settings
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+ .idea
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+ .vscode
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+ tags
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+ *.code-workspace
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+ *.sublime-workspace
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+
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+ # Package files
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+ *.egg
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+ *.eggs/
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+ .installed.cfg
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+ *.egg-info
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+
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+ # Unittest and coverage
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+ htmlcov/*
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+ .coverage
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+ .tox
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+ junit.xml
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+ coverage.xml
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+ .pytest_cache/
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+ pytest-results*
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+
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+ # Build and docs folder/files
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+ build/*
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+ dist/*
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+ sdist/*
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+ docs/api/*
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+ docs/_rst/*
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+ docs/_build/*
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+ cover/*
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+ runs/*
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+ MANIFEST
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+
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+ # Mac
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+ __MACOSX
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+
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+ # KDE
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+ .directory
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+
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+ # Per-project virtualenvs
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+ .venv*/
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+ venv/
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+
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+ # secrets
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+ .env
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+ **/*secret*
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+ **/*private*
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+
Home.py CHANGED
@@ -1,4 +1,4 @@
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  import streamlit as st
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- x = st.slider('Select a value')
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- st.write(x, 'squared is', x * x)
 
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  import streamlit as st
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+ st.image("./assets/delvin_logo.png")
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+ st.header("Welcome to Delvin!")
assets/delvin_logo.png ADDED
pages/1_Data.py ADDED
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+ import pandas as pd
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+ import streamlit as st
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+
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+ st.set_page_config(page_title="Upload Data")
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+
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+ # Add a title to the app
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+ st.title("Upload CSV File")
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+
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+ # Create a file uploader
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+ uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
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+
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+ df = pd.DataFrame()
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+
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+ # If a file was uploaded
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+ if uploaded_file is not None:
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+ # Read the file and create a Pandas DataFrame
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+ df = pd.read_csv(uploaded_file)
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+
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+ # Show the DataFrame
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+ st.write(df.head(4))
requirements.txt ADDED
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+ pandas
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+ streamlit==1.17.0
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+ transformers
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+ torch