Update app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import re
+
+st.set_page_config(page_title="Hindi Sentiment Analysis", layout="centered")
+
+# Custom CSS for styling
+st.markdown("""
+    <style>
+    @import url('https://fonts.googleapis.com/css2?family=Poppins&display=swap');
+
+    html, body, [class*="css"] {
+        font-family: 'Poppins', sans-serif;
+        text-align: center;
+    }
+
+    .centered-title {
+        font-size: 50px;
+        font-weight: bold;
+        margin-bottom: 10px;
+    }
+
+    .sentiment-result {
+        font-size: 26px;
+        font-weight: 600;
+        margin-top: 20px;
+    }
+
+    .confidence {
+        font-size: 20px;
+        margin-top: 10px;
+    }
+
+    .original-text {
+        font-style: italic;
+        margin-top: 10px;
+    }
+
+    textarea {
+        text-align: left !important;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Load model
+pipe = pipeline("text-classification", model="NeonSamurai/hindi_bert_model")
+
+names = ["neutral", "positive", "negative"]
+emojis = {"positive": "🤗", "negative": "😔", "neutral": "😐"}
+
+# Utility functions
+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
+
+# Title
+st.markdown("<div class='centered-title'>📊 Hindi Sentiment Analysis</div>", unsafe_allow_html=True)
+
+# Instructions
+with st.expander("ℹ️ Instructions"):
+    st.markdown("""
+    - Please enter a sentence or paragraph in **Hindi (Devanagari script)**.
+    - Example: *यह फिल्म बहुत अच्छी थी और अभिनय शानदार था।*
+    - The app will classify the text as **positive**, **negative**, or **neutral**.
+    """)
+
+# Text input
+user_input = st.text_area("✍️ Enter Hindi text below:", height=150, placeholder="Type your Hindi text here...")
+
+# Predict button
+if st.button("🔍 Predict Sentiment"):
+    if not user_input.strip():
+        st.warning("⚠️ Please enter some text.")
+    else:
+        cleaned_input = clean_input(user_input)
+        if not is_mostly_hindi(cleaned_input):
+            st.error("❌ Input should be 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]
+
+            st.markdown(f"<div class='sentiment-result'>✅ Sentiment: <b>{sentiment.capitalize()} {emoji}</b></div>", unsafe_allow_html=True)
+            st.markdown(f"<div class='confidence'>Confidence Score: <code>{result['score']:.2f}</code></div>", unsafe_allow_html=True)
+            st.markdown(f"<div class='original-text'>“{user_input}”</div>", unsafe_allow_html=True)
+
+# Background-Image
+st.markdown(
+    """
+    <style>
+        .stApp {
+            background-image: url("https://cdn-uploads.huggingface.co/production/uploads/673f5e166c2774fcc8a82f0b/OIaLFHTZGXeTvsizCCNsK.png");
+            background-size: cover;
+            background-position: center;
+            height: 100vh;
+        }
+        
+        /* Semi-transparent overlay */
+        .stApp::before {
+            content: "";
+            position: absolute;
+            top: 0;
+            left: 0;
+            width: 100%;
+            height: 100%;
+            background: rgba(0, 0, 0, 0.4);  /* 40% transparency */
+            z-index: -1;
+        }
+    </style>
+    """, 
+    unsafe_allow_html=True
+)