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Update app.py
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app.py
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@@ -1,7 +1,8 @@
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import streamlit as st
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import os
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from datasets import load_dataset
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HF_TOKEN = os.environ.get("HF_TOKEN")
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@@ -11,5 +12,21 @@ df = ds.to_pandas()
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st.title("MMLU Translations Progress")
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st.dataframe(df)
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import streamlit as st
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import os
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from datasets import load_dataset
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import pandas as pd
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import matplotlib.pyplot as plt
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HF_TOKEN = os.environ.get("HF_TOKEN")
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st.title("MMLU Translations Progress")
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# Extract the language from the metadata column and create a new column
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df['language'] = df['metadata'].apply(lambda x: x.get('language'))
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# Count the occurrences of each language
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language_counts = df['language'].value_counts()
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# Plotting the bar chart using matplotlib
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fig, ax = plt.subplots()
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language_counts.plot(kind='bar', ax=ax)
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ax.set_title('Number of Rows for Each Language')
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ax.set_xlabel('Language')
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ax.set_ylabel('Count')
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# Display the plot in the Streamlit app
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st.pyplot(fig)
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st.dataframe(df)
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