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Sentiment_analysis
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import streamlit as st
import pickle
import re
import string

# Load vectorizer and model
with open('vectorizer.pkl', 'rb') as f:
    vectorizer = pickle.load(f)

with open('model.pkl', 'rb') as f:
    model = pickle.load(f)

# Preprocessing function
def preprocess(text_input):
    # Remove punctuation
    clean = text_input.translate(str.maketrans('', '', string.punctuation))
    
    # Split into words
    words = clean.split()
    
    # Filter words: no repeated chars, digits, non-ascii
    filtered = [
        w for w in words
        if not re.search(r'(.)\1{2,}', w)
        and not w.isdigit()
        and w.isascii()
    ]
    return " ".join(filtered)


# App UI
st.title("✨ Sentiment Analysis App ✨")
st.header("🔍 Analyze the Sentiment of Your Comments Instantly")

title = st.text_input(
    "Enter a movie review or comment below:",
    "I didn't feel humiliated"
)



if st.button("🔍 Predict Sentiment"):
    title = title.lower().strip()

    if not title:
        st.warning("⚠️ Please enter a valid comment.")
    else:
        filtered_text = preprocess(title)
        
        if filtered_text.strip() == "":
            st.warning("⚠️ Your input was too short or invalid after preprocessing.")
        else:
            X_test_vectorized = vectorizer.transform([filtered_text])
            prediction = model.predict(X_test_vectorized)[0]

            if prediction == 1:
                st.success("🎉 **The sentiment is Positive! Great vibes ahead!**")
            else:
                st.error("😞 **The sentiment is Negative. Let's work on making it better! 💪**")
                
st.markdown("""
---
### How This Works
- **Title:** The main heading grabs your attention and shows what this app is all about.
- **Header:** A quick subtitle explaining that you can analyze the sentiment of your comments in real time.
- **Input Box:** Enter any movie review or comment here to see if it's positive or negative.

💡 *Using emojis makes the app more fun and inviting!*  
Clear instructions help you get started right away.

---
""")