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Update app.py
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app.py
CHANGED
@@ -1,3 +1,11 @@
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tfidf=pickle.load(open('tfidf.pkl','rb'))
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model=pickle.load(open('model.pkl','rb'))
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@@ -21,7 +29,7 @@ def preprocess(text):
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iface = gr.Interface(
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fn=classify_msg,
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inputs=gr.inputs.Textbox(),
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outputs="text",
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)
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import gradio as gr
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import pickle
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import nltk
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from nltk.corpus import stopwords
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import string
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from sklearn.feature_extraction.text import TfidfVectorizer
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from sklearn.naive_bayes import MultinomialNB
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tfidf=pickle.load(open('tfidf.pkl','rb'))
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model=pickle.load(open('model.pkl','rb'))
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iface = gr.Interface(
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fn=classify_msg,
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inputs=gr.inputs.Textbox(placeholder='If your message has more than 50 words, the probability of a correct prediction is high.'),
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outputs="text",
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)
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