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Update app.py
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app.py
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import streamlit as st
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from transformers import MarianMTModel, MarianTokenizer
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import torch
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from deep_translator import GoogleTranslator
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import
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# ================================
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# PAGE CONFIGURATION
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}
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/* Clear Button */
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background: linear-gradient(145deg, #f093fb, #f5576c);
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box-shadow: 0 10px 25px rgba(245, 87, 108, 0.4);
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}
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box-shadow: 0 15px 35px rgba(245, 87, 108, 0.6);
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}
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border-top-color: #ffffff !important;
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}
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/*
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.
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}
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/* Success Message */
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.stSuccess {
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background: rgba(72, 187, 120, 0.2);
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backdrop-filter: blur(10px);
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border-radius: 10px;
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border: 1px solid rgba(
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color: white;
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}
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/* Footer */
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# TRANSLATION FUNCTIONS
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# ================================
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@st.cache_resource
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def load_translation_model():
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"""Load the translation model (cached for performance)"""
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try:
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# Using a multilingual model that supports Urdu and Pashto
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model_name = "Helsinki-NLP/opus-mt-mul-en"
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tokenizer = MarianTokenizer.from_pretrained(model_name)
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model = MarianMTModel.from_pretrained(model_name)
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return tokenizer, model
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except Exception as e:
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st.error(f"Error loading model: {e}")
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return None, None
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def urdu_to_pashto_roman(urdu_text):
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"""
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Translate Urdu to Pashto and romanize it
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translator_to_pashto = GoogleTranslator(source='ur', target='ps')
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pashto_text = translator_to_pashto.translate(urdu_text)
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# Step 2:
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translator_to_roman = GoogleTranslator(source='ps', target='en')
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temp_english = translator_to_roman.translate(pashto_text)
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# Step 3: Create phonetic Roman Urdu representation
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# This gives us a romanized version
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romanized = create_roman_representation(pashto_text, temp_english)
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return romanized
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except Exception as e:
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return "Translation failed. Please try again."
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def create_roman_representation(pashto_text
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"""
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Create a Roman Urdu representation of Pashto text
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"""
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# Pashto to Roman Urdu character mapping (phonetic)
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pashto_to_roman = {
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}
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# Transliterate Pashto to Roman
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for char in pashto_text:
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roman_text += pashto_to_roman.get(char, char)
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#
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return english_reference
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return roman_text
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# ================================
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# MAIN APPLICATION
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# ================================
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def main():
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# Load custom CSS
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load_css()
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st.markdown("### 📝 Input (Urdu)")
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urdu_input = st.text_area(
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"Enter Urdu text",
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height=250,
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placeholder="یہاں اردو متن درج کریں...",
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label_visibility="collapsed",
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key="
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)
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with col2:
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st.markdown("### 🔤 Output (Pashto in Roman)")
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st.session_state.translation_output = ""
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translation_output = st.text_area(
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"Pashto translation in Roman script",
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value=st.session_state.translation_output,
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height=250,
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placeholder="Translation will appear here...",
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label_visibility="collapsed",
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key="
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disabled=True
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)
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# Buttons
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col_btn1, col_btn2, col_btn3 = st.columns([1, 1, 1])
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with col_btn2:
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if st.button("🔄 Translate", use_container_width=True):
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if urdu_input.strip():
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with st.spinner("✨ Translating..."):
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result = urdu_to_pashto_roman(urdu_input)
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st.session_state.translation_output = result
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st.rerun()
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else:
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st.warning("⚠️ Please enter some Urdu text first!")
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with col_btn3:
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st.markdown('<div class="clear-button">', unsafe_allow_html=True)
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if st.button("🗑️ Clear", use_container_width=True):
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st.session_state.translation_output = ""
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import streamlit as st
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from deep_translator import GoogleTranslator
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import time
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# ================================
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# PAGE CONFIGURATION
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}
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/* Clear Button */
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div[data-testid="column"]:last-child .stButton button {
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background: linear-gradient(145deg, #f093fb, #f5576c);
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box-shadow: 0 10px 25px rgba(245, 87, 108, 0.4);
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}
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div[data-testid="column"]:last-child .stButton button:hover {
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box-shadow: 0 15px 35px rgba(245, 87, 108, 0.6);
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}
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border-top-color: #ffffff !important;
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}
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/* Success/Warning Messages */
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.stSuccess, .stWarning, .stError {
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background: rgba(255, 255, 255, 0.2);
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backdrop-filter: blur(10px);
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border-radius: 10px;
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border: 1px solid rgba(255, 255, 255, 0.4);
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color: white !important;
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}
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/* Footer */
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# TRANSLATION FUNCTIONS
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# ================================
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def urdu_to_pashto_roman(urdu_text):
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"""
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Translate Urdu to Pashto and romanize it
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translator_to_pashto = GoogleTranslator(source='ur', target='ps')
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pashto_text = translator_to_pashto.translate(urdu_text)
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# Step 2: Create Roman representation
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romanized = create_roman_representation(pashto_text)
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return romanized
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except Exception as e:
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return f"Translation error: {str(e)}"
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def create_roman_representation(pashto_text):
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"""
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Create a Roman Urdu representation of Pashto text
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"""
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# Comprehensive Pashto to Roman Urdu character mapping (phonetic)
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pashto_to_roman = {
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# Vowels
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'ا': 'a', 'آ': 'aa', 'ع': 'a', 'ء': '',
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# Consonants
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'ب': 'b', 'پ': 'p', 'ت': 't', 'ټ': 't', 'ث': 's',
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'ج': 'j', 'چ': 'ch', 'ح': 'h', 'خ': 'kh',
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'د': 'd', 'ډ': 'd', 'ذ': 'z', 'ر': 'r', 'ړ': 'r',
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'ز': 'z', 'ژ': 'zh', 'ږ': 'g', 'س': 's', 'ش': 'sh',
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'ښ': 'x', 'ص': 's', 'ض': 'z', 'ط': 't', 'ظ': 'z',
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'غ': 'gh', 'ف': 'f', 'ق': 'q', 'ک': 'k', 'ګ': 'g',
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'ل': 'l', 'م': 'm', 'ن': 'n', 'ڼ': 'n',
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'و': 'w', 'ؤ': 'o', 'ه': 'h', 'ۀ': 'a', 'ة': 'a',
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'ي': 'y', 'ې': 'e', 'ی': 'i', 'ئ': 'y', 'ى': 'a',
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# Diacritics and special marks
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'َ': 'a', 'ُ': 'u', 'ِ': 'i', 'ً': 'an', 'ٌ': 'un', 'ٍ': 'in',
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'ّ': '', 'ْ': '', 'ٔ': '', 'ٰ': 'a',
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# Punctuation
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' ': ' ', '،': ',', '؛': ';', '؟': '?', '۔': '.', '!': '!',
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'(': '(', ')': ')', '[': '[', ']': ']', '{': '{', '}': '}',
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'-': '-', '_': '_', '«': '"', '»': '"', '"': '"', '"': '"',
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# Numbers (Pashto/Arabic numerals to Roman)
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'۰': '0', '۱': '1', '۲': '2', '۳': '3', '۴': '4',
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'۵': '5', '۶': '6', '۷': '7', '۸': '8', '۹': '9',
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'٠': '0', '١': '1', '٢': '2', '٣': '3', '٤': '4',
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'٥': '5', '٦': '6', '٧': '7', '٨': '8', '٩': '9',
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}
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# Transliterate Pashto to Roman
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for char in pashto_text:
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roman_text += pashto_to_roman.get(char, char)
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# Clean up extra spaces and formatting
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roman_text = ' '.join(roman_text.split())
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return roman_text if roman_text.strip() else pashto_text
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# ================================
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# MAIN APPLICATION
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# ================================
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def main():
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# Initialize session state
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if 'translation_output' not in st.session_state:
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st.session_state.translation_output = ""
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if 'urdu_input' not in st.session_state:
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st.session_state.urdu_input = ""
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# Load custom CSS
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load_css()
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st.markdown("### 📝 Input (Urdu)")
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urdu_input = st.text_area(
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"Enter Urdu text",
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value=st.session_state.urdu_input,
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height=250,
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placeholder="یہاں اردو متن درج کریں... (Enter Urdu text here...)",
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label_visibility="collapsed",
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key="urdu_input_area"
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)
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with col2:
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st.markdown("### 🔤 Output (Pashto in Roman)")
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st.text_area(
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"Pashto translation in Roman script",
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value=st.session_state.translation_output,
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height=250,
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placeholder="Translation will appear here...",
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label_visibility="collapsed",
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key="output_
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