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Update src/pages/📈DatasetAnalysis.py
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src/pages/📈DatasetAnalysis.py
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@@ -4,11 +4,11 @@ import matplotlib.pyplot as plt
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from collections import Counter
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from wordcloud import WordCloud
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from matplotlib.font_manager import FontProperties
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st.set_page_config(page_title="Datasets Analysis", page_icon="👋", layout="wide")
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data100k = "dura-garage/nep-spell/datafiles/nep_spell_100k.csv"
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# Preparing datafrmae
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df = pd.read_csv(data100k)
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@@ -62,7 +62,7 @@ for word, frequency in top_words:
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corpus[word] = frequency
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# Define the font file path
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font1 = "dura-garage/nep-spell/fonts/TiroDevanagariHindi-Regular.ttf"
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# Generate the word cloud
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wordcloud_most_common = WordCloud(
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from collections import Counter
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from wordcloud import WordCloud
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from matplotlib.font_manager import FontProperties
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import os
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st.set_page_config(page_title="Datasets Analysis", page_icon="👋", layout="wide")
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data100k = os.path.abspath('"dura-garage/nep-spell/datafiles/nep_spell_100k.csv"')
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# Preparing datafrmae
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df = pd.read_csv(data100k)
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corpus[word] = frequency
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# Define the font file path
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font1 = os.path.abspath("dura-garage/nep-spell/fonts/TiroDevanagariHindi-Regular.ttf")
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# Generate the word cloud
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wordcloud_most_common = WordCloud(
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