app.py

import streamlit as st
from transformers import pipeline
import re

st.set_page_config(page_title="Hindi Sentiment Analysis", page_icon="😊")

pipe = pipeline("text-classification", model="trohith89/Hindi_Sentiment_3_class")
names = ["neutral", "positive", "negative"]
emojis = {"positive": "🤗", "negative": "😔", "neutral": "😐"}

def is_mostly_hindi(text):
    if not text.strip():
        return False
    devanagari_pattern = r'[\u0900-\u097F]'
    allowed_pattern = r'[a-zA-Z0-9\s.,!?]'
    devanagari_chars = len(re.findall(devanagari_pattern, text))
    allowed_chars = len(re.findall(allowed_pattern, text))
    total_chars = len(text)
    hindi_proportion = devanagari_chars / total_chars if total_chars > 0 else 0
    valid_chars = devanagari_chars + allowed_chars == total_chars
    return hindi_proportion >= 0.7 and valid_chars

def clean_input(text):
    cleaned_text = re.sub(r'[^a-zA-Z0-9\u0900-\u097F\s?.!]', ' ', text)
    cleaned_text = re.sub(r'([?.!])(?![?.!]\s|$)', '', cleaned_text)
    cleaned_text = ' '.join(cleaned_text.split())
    return cleaned_text

# --- Custom CSS Styling ---
st.markdown("""
<style>
html, body, .stApp {
    background-image: url("https://cdn-uploads.huggingface.co/production/uploads/67441c51a784a9d15cb12871/8cwxuMFDAzxohCfoqCxnE.jpeg");
    background-size: cover;
    background-position: center;
    background-repeat: no-repeat;
    background-attachment: fixed;
    font-family: 'Segoe UI', sans-serif;
}

/* 🌈 Gradient & Animated Title */
h1 {
    text-align: center;
    font-size: 56px;
    background: linear-gradient(to right, #ffb6c1, #ffa07a, #87cefa);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    animation: popFadeSlide 2s ease-in-out;
    margin-bottom: 30px;
    letter-spacing: 1px;
}
@keyframes popFadeSlide {
    0% {
        opacity: 0;
        transform: scale(0.9) translateY(-40px);
    }
    50% {
        opacity: 1;
        transform: scale(1.05) translateY(5px);
    }
    100% {
        transform: scale(1) translateY(0);
    }
}

/* 🧾 Instruction Box */
.instructions {
    text-align: center;
    font-size: 18px;
    color: #fff;
    background: rgba(0, 0, 0, 0.7);
    padding: 20px;
    border-radius: 15px;
    animation: rotateIn 1.5s ease-out;
    margin-bottom: 25px;
    max-width: 600px;
    margin-left: auto;
    margin-right: auto;
}
@keyframes rotateIn {
    0% { opacity: 0; transform: rotateY(-90deg); }
    100% { opacity: 1; transform: rotateY(0); }
}

/* 📥 Text Area */
.stTextArea textarea {
    border: none;
    outline: none;
    border-radius: 12px;
    padding: 15px;
    background: rgba(42, 42, 42, 0.85);
    color: #e6e6e6;
    font-size: 16px;
    width: 100%;
    max-width: 800px;
    height: 160px !important;
    box-sizing: border-box;
    transition: all 0.4s ease;
}
.stTextArea textarea:focus {
    transform: scale(1.02);
    box-shadow: 0 0 15px rgba(255, 255, 255, 0.4);
}

/* 🔘 Button */
div.stButton > button {
    background: linear-gradient(45deg, #004d00, #000000, #000066);
    color: #e6e6e6;
    font-size: 18px;
    padding: 12px 30px;
    border: none;
    border-radius: 30px;
    display: block;
    margin: 20px auto;
    transition: all 0.5s ease;
}
div.stButton > button:hover {
    transform: translateY(-5px) rotate(1deg);
    box-shadow: 0 8px 20px rgba(255, 255, 255, 0.4);
    background: linear-gradient(45deg, #006600, #333333, #000099);
}

/* 🎯 Colored Sentiment Output Box */
.output-container {
    padding: 25px 20px;
    border-radius: 20px;
    animation: fadeInUp 1s ease-out;
    text-align: center;
    width: 100%;
    max-width: 650px;
    margin: 30px auto 10px auto;
    min-height: 100px;
    font-size: 45px;
    font-weight: 700;
}
@keyframes fadeInUp {
    0% { opacity: 0; transform: translateY(40px); }
    100% { opacity: 1; transform: translateY(0); }
}
.output-positive {
    background: linear-gradient(45deg, #00ff00, #00cccc);
    color: #1a1a1a;
}
.output-negative {
    background: linear-gradient(45deg, #330066, #666666);
    color: #e6e6e6;
}
.output-neutral {
    background: linear-gradient(45deg, #66ccff, #ffffff);
    color: #1a1a1a;
}

/* 📊 Output Info */
.output-info {
    color: #f1f1f1;
    font-size: 16px;
    text-align: center;
    margin-top: 10px;
}
</style>
""", unsafe_allow_html=True)

# --- App Content ---
st.markdown("<h1>Hindi Sentiment Analysis</h1>", unsafe_allow_html=True)

st.markdown("""
<div class='instructions'>
Please enter a sentence or paragraph in Hindi in the text area below. <br>
Text must be primarily in Hindi. <br>
Example: "यह फिल्म बहुत अच्छी थी और अभिनय शानदार था। <br>
Click the 'Predict' button to analyze the sentiment (positive, negative, or neutral)!
</div>
""", unsafe_allow_html=True)

user_input = st.text_area("", placeholder="Enter your text in Hindi here...")

if st.button("Predict"):
    if not user_input.strip():
        st.warning("⚠️ Please enter text. Empty input is not allowed.")
    else:
        cleaned_input = clean_input(user_input)
        if not is_mostly_hindi(cleaned_input):
            st.error("❌ Please enter text primarily in Hindi (Devanagari script).")
        else:
            result = pipe(cleaned_input)[0]
            sentiment_index = int(result['label'].split("_")[1])
            sentiment = names[sentiment_index]
            emoji = emojis[sentiment] 
            output_class = f"output-{sentiment}" 
            st.markdown(f"<div class='output-container {output_class}'>{sentiment.capitalize()} {emoji}</div>", unsafe_allow_html=True)
            st.markdown(f"<div class='output-info'><strong>Your Text:</strong> {user_input}<br><strong>Confidence Score:</strong> {result['score']:.2f}</div>", unsafe_allow_html=True)