Upload 4 files

app.py

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+import numpy as np
+import gradio as gr
+import joblib
+
+nb_classifier = joblib.load('nb_classifier.pkl')
+tfidf_vectorizer = joblib.load('tfidf_vectorizer.pkl')
+
+def predict_sentiment(text):
+    text_tfidf = tfidf_vectorizer.transform([text])
+    predicted_sentiment = nb_classifier.predict(text_tfidf)[0]
+    return predicted_sentiment
+
+iface = gr.Interface(
+    fn=predict_sentiment,
+    inputs="text",
+    outputs="text",
+    title="Sentiment Analysis",
+    description="Predict sentiment of a text message.",
+)
+
+iface.launch(share=True)

nb_classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c091be62a0ddea7ab73711659205046a13bf98dcea6221d5ca6ec27d39a6ac61
+size 1395119

requirements.txt

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+gradio
+joblib
+scikit-learn

tfidf_vectorizer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d8cdea87fdf62efd72f59558b88b4429fc31aced7805ea0e9521be4d7ce3dfdd
+size 840161