Create app

app

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+import streamlit as st
+import joblib
+
+# Load the pre-trained model (Pipeline with vectorizer and classifier)
+model = joblib.load('text_classification_pipeline.pkl')
+
+# Title of the Streamlit app
+st.title("Tweet Sentiment Classifier")
+
+# Input text area for user to enter a tweet
+tweet = st.text_area("Enter the tweet")
+
+# Button for triggering the prediction
+if st.button("Predict Sentiment"):
+    if tweet:
+        # Use the model to predict the sentiment of the tweet
+        prediction = model.predict([tweet])
+
+        # Display the prediction
+        st.write(f"Predicted Sentiment Label: {prediction[0]}")
+    else:
+        st.write("Please enter a tweet to classify.")