Update app.py
Browse files
app.py
CHANGED
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@@ -2,15 +2,12 @@ import streamlit as st
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from transformers import pipeline
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import re
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# Set page config
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st.set_page_config(page_title="Hindi Sentiment Analysis", page_icon="π")
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# Load model pipeline
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pipe = pipeline("text-classification", model="trohith89/Hindi_Sentiment_3_class")
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names = ["neutral", "positive", "negative"]
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emojis = {"positive": "π€", "negative": "π", "neutral": "π"}
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# Language check function
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def is_mostly_hindi(text):
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if not text.strip():
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return False
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@@ -23,7 +20,6 @@ def is_mostly_hindi(text):
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valid_chars = devanagari_chars + allowed_chars == total_chars
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return hindi_proportion >= 0.7 and valid_chars
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# Clean input function
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def clean_input(text):
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cleaned_text = re.sub(r'[^a-zA-Z0-9\u0900-\u097F\s?.!]', ' ', text)
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cleaned_text = re.sub(r'([?.!])(?![?.!]\s|$)', '', cleaned_text)
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@@ -33,12 +29,13 @@ def clean_input(text):
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# Custom CSS
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st.markdown("""
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<style>
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/* Background */
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body {
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background-image: url(
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background-size: cover;
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background-attachment: fixed;
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background-position: center;
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}
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/* Title Styling */
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@@ -56,7 +53,7 @@ h1 {
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100% { opacity: 1; transform: translateY(0); }
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}
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/*
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.instructions {
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text-align: center;
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font-size: 18px;
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@@ -75,28 +72,28 @@ h1 {
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100% { opacity: 1; transform: rotateY(0); }
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}
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/* Text Area
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textarea {
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border: 3px solid transparent
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border-image: linear-gradient(45deg, #004d00, #000000, #000066) 1
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border-radius: 12px
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padding: 15px
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background: rgba(42, 42, 42, 0.
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color: #e6e6e6
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font-size: 16px
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width: 100%
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max-width: 600px
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-
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box-sizing: border-box
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}
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textarea:focus {
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transform: scale(1.03)
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box-shadow: 0 0 15px rgba(0, 0, 102, 0.7)
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border-image: linear-gradient(45deg, #006600, #333333, #000099) 1
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}
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/* Button
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div.stButton > button {
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background: linear-gradient(45deg, #004d00, #000000, #000066);
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color: #e6e6e6;
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@@ -104,9 +101,9 @@ div.stButton > button {
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padding: 12px 30px;
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border: none;
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border-radius: 30px;
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display: block;
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margin: 20px auto;
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transition: all 0.5s ease;
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}
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div.stButton > button:hover {
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transform: translateY(-5px) rotate(2deg);
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@@ -114,7 +111,7 @@ div.stButton > button:hover {
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background: linear-gradient(45deg, #006600, #333333, #000099);
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}
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/* Output
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.output-container {
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padding: 40px 20px;
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border-radius: 20px;
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@@ -126,8 +123,8 @@ div.stButton > button:hover {
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min-height: 100px;
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display: block;
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box-sizing: border-box;
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font-size:
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font-weight:
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}
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@keyframes slideUpGlow {
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0% { opacity: 0; transform: translateY(30px); }
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@@ -146,22 +143,13 @@ div.stButton > button:hover {
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color: #1a1a1a;
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}
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/*
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.output-info {
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color: white;
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font-size: 16px;
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text-align: center;
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margin-top: 10px;
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}
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-
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/* Warnings */
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.stAlert {
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background: rgba(255, 0, 0, 0.2);
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color: #ffcccc;
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border-radius: 12px;
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padding: 15px;
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text-align: center;
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}
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</style>
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""", unsafe_allow_html=True)
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@@ -178,10 +166,10 @@ Click the 'Predict' button to analyze the sentiment (positive, negative, or neut
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</div>
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""", unsafe_allow_html=True)
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#
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user_input = st.text_area("", placeholder="Enter your text in Hindi here...", height=150)
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#
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if st.button("Predict"):
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if not user_input.strip():
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st.warning("β οΈ Please enter text. Empty input is not allowed.")
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@@ -195,7 +183,5 @@ if st.button("Predict"):
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sentiment = names[sentiment_index]
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emoji = emojis[sentiment]
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output_class = f"output-{sentiment}"
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# Output box
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st.markdown(f"<div class='output-container {output_class}'>{sentiment.capitalize()} {emoji}</div>", unsafe_allow_html=True)
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st.markdown(f"<div class='output-info'><
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from transformers import pipeline
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import re
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st.set_page_config(page_title="Hindi Sentiment Analysis", page_icon="π")
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pipe = pipeline("text-classification", model="trohith89/Hindi_Sentiment_3_class")
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names = ["neutral", "positive", "negative"]
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emojis = {"positive": "π€", "negative": "π", "neutral": "π"}
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def is_mostly_hindi(text):
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if not text.strip():
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return False
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valid_chars = devanagari_chars + allowed_chars == total_chars
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return hindi_proportion >= 0.7 and valid_chars
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def clean_input(text):
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cleaned_text = re.sub(r'[^a-zA-Z0-9\u0900-\u097F\s?.!]', ' ', text)
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cleaned_text = re.sub(r'([?.!])(?![?.!]\s|$)', '', cleaned_text)
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# Custom CSS
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st.markdown("""
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<style>
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/* π Full Background Image */
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html, body, .stApp {
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background-image: url("https://cdn-uploads.huggingface.co/production/uploads/67441c51a784a9d15cb12871/ohVnlFeFlCUhs1Sbj08fj.jpeg");
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background-size: cover;
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background-position: center;
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background-repeat: no-repeat;
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background-attachment: fixed;
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}
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/* Title Styling */
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100% { opacity: 1; transform: translateY(0); }
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}
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/* Instructions */
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.instructions {
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text-align: center;
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font-size: 18px;
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100% { opacity: 1; transform: rotateY(0); }
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}
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/* β
Text Area Match Full Border */
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.stTextArea textarea {
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border: 3px solid transparent;
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border-image: linear-gradient(45deg, #004d00, #000000, #000066) 1;
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border-radius: 12px;
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padding: 15px;
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background: rgba(42, 42, 42, 0.85);
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color: #e6e6e6;
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font-size: 16px;
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width: 100%;
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max-width: 600px;
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margin: 0 auto;
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display: block;
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box-sizing: border-box;
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}
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.stTextArea textarea:focus {
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transform: scale(1.03);
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box-shadow: 0 0 15px rgba(0, 0, 102, 0.7);
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border-image: linear-gradient(45deg, #006600, #333333, #000099) 1;
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}
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/* Button */
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div.stButton > button {
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background: linear-gradient(45deg, #004d00, #000000, #000066);
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color: #e6e6e6;
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padding: 12px 30px;
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border: none;
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border-radius: 30px;
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margin: 20px auto;
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transition: all 0.5s ease;
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display: block;
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}
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div.stButton > button:hover {
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transform: translateY(-5px) rotate(2deg);
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background: linear-gradient(45deg, #006600, #333333, #000099);
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}
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/* Sentiment Output */
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.output-container {
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padding: 40px 20px;
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border-radius: 20px;
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min-height: 100px;
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display: block;
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box-sizing: border-box;
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font-size: 26px;
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font-weight: 700;
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}
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@keyframes slideUpGlow {
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0% { opacity: 0; transform: translateY(30px); }
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color: #1a1a1a;
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}
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/* Text + Confidence */
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.output-info {
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color: white;
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font-size: 16px;
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text-align: center;
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margin-top: 10px;
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}
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</style>
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""", unsafe_allow_html=True)
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</div>
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""", unsafe_allow_html=True)
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# Input
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user_input = st.text_area("", placeholder="Enter your text in Hindi here...", height=150)
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# Predict
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if st.button("Predict"):
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if not user_input.strip():
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st.warning("β οΈ Please enter text. Empty input is not allowed.")
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sentiment = names[sentiment_index]
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emoji = emojis[sentiment]
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output_class = f"output-{sentiment}"
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st.markdown(f"<div class='output-container {output_class}'>{sentiment.capitalize()} {emoji}</div>", unsafe_allow_html=True)
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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)
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