Spaces:
Sleeping
Sleeping
Upload folder using huggingface_hub
Browse files- .gitignore +6 -0
- .streamlit/config.toml +6 -0
- README.md +7 -6
- app.py +66 -0
- atlasia_white_wtext_nobg.png +0 -0
- requirements.txt +3 -0
.gitignore
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.venv/
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venv/
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*.ipynb
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data/
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.vscode/
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img/
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.streamlit/config.toml
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[theme]
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base="dark"
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primaryColor="#ffffff"
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backgroundColor="#2a3a4a"
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secondaryBackgroundColor="#2a3a4a"
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font="serif"
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README.md
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---
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title: AtlasIA
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emoji:
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colorFrom:
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colorTo:
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sdk:
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sdk_version:
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: AtlasIA-Dashboard
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emoji: π
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colorFrom: gray
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colorTo: blue
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sdk: streamlit
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sdk_version: 1.30.0
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import streamlit as st
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from datasets import load_dataset
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import pandas as pd
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import plotly.graph_objects as go
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@st.cache_data
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def fetch_counts():
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dataset = load_dataset("atlasia/darija-translation", split="train")
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dataset = pd.DataFrame(dataset)
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n_eng = len(dataset["en"].dropna())
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n_fr = len(dataset["fr"].dropna())
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n = len(dataset)
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return {"n_eng": n_eng, "n_fr": n_fr, "n": n}
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if __name__ == "__main__":
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st.image("atlasia_white_wtext_nobg.png")
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counts = fetch_counts()
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n_goal = 40000
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total_submissions = counts["n"]
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st.text("")
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# center text
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st.markdown(
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"""
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<h1 style='text-align: center; font-size: 20px;'>
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Help building a Darija
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dataset for all Moroccans.
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Contribute here: <a href="https://atlasia.ma" target="_blank">atlasia.ma</a>
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</h1>
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""",
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unsafe_allow_html=True,
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)
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# make progress chart
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fig = go.Figure(
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go.Indicator(
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domain={"x": [0, 1], "y": [0, 1]},
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value=total_submissions,
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mode="gauge+number+delta",
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title={"text": "Number of translations"},
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delta={"reference": 0},
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gauge={
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"axis": {"range": [0, n_goal]},
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"steps": [
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{"range": [0, total_submissions], "color": "gray"},
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],
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"threshold": {
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"line": {"color": "green", "width": 4},
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"thickness": 0.75,
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"value": n_goal / 2,
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},
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},
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)
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)
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st.plotly_chart(fig, use_container_width=True)
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labels = ["English", "French"]
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values = [counts["n_eng"], counts["n_fr"]]
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# change color to blue and white
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fig = go.Figure(data=[go.Pie(labels=labels, values=values, pull=[0.2, 0])])
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fig.update_traces(marker=dict(colors=["#46607b", "#FFFFFF"]))
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st.plotly_chart(fig, use_container_width=True)
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atlasia_white_wtext_nobg.png
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requirements.txt
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plotly==5.20.0
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datasets==2.18.0
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pandas==2.2.1
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