Update app.py

app.py

@@ -17,6 +17,120 @@ from bs4 import BeautifulSoup
 
 
 # --- BATCH 1: MEDIA & FILE FUNCTIONS ---
+
+
+
+
+
+import streamlit as st
+from fpdf import FPDF
+import requests
+import os
+import re
+
+def run_pdf_converter_app():
+    """
+    Main container function. 
+    Contains all logic for downloading fonts, cleaning text, and generating PDF.
+    """
+
+    # --- Nested Helper 1: Download Font (Crucial for HF Spaces) ---
+    def get_unicode_font():
+        font_filename = "DejaVuSans.ttf"
+        # URL to a stable Unicode font source
+        font_url = "https://github.com/dejavu-fonts/dejavu-fonts/raw/master/ttf/DejaVuSans.ttf"
+        
+        if not os.path.exists(font_filename):
+            try:
+                with st.spinner("Downloading Unicode font support..."):
+                    response = requests.get(font_url)
+                    with open(font_filename, "wb") as f:
+                        f.write(response.content)
+            except Exception as e:
+                st.error(f"Failed to load font: {e}")
+                return None
+        return font_filename
+
+    # --- Nested Helper 2: Clean LMS Garbage ---
+    def clean_lms_text(text, active=True):
+        if not active:
+            return text
+        
+        # 1. Normalize line endings (windows/linux compatibility)
+        text = text.replace('\r\n', '\n').replace('\r', '\n')
+        
+        # 2. Remove common LMS description patterns 
+        # Example: specific text like "Question 1" or text inside brackets [Question ID]
+        # This Regex removes text inside square brackets often hidden in LMS
+        text = re.sub(r'\[.*?\]', '', text)
+        
+        # 3. Remove text inside parenthesis if it looks like a description (optional)
+        # un-comment the line below if your LMS writes "Symbol (Name)"
+        # text = re.sub(r'\([A-Za-z\s]+\)', '', text)
+
+        # 4. Remove zero-width spaces often found in web copying
+        text = text.replace(u'\u200b', '')
+        
+        return text.strip()
+
+    # --- Nested Helper 3: PDF Generator ---
+    def create_pdf(text_content):
+        pdf = FPDF()
+        pdf.add_page()
+        
+        # Load the custom font
+        font_path = get_unicode_font()
+        if font_path:
+            # Add font (requires fpdf2)
+            pdf.add_font('DejaVu', fname=font_path)
+            pdf.set_font('DejaVu', size=12)
+        else:
+            # Fallback (Symbols will likely fail here)
+            pdf.set_font("Arial", size=12)
+            st.warning("Using standard font. Special symbols might not appear.")
+
+        # Write text
+        # multi_cell handles text wrapping automatically
+        pdf.multi_cell(0, 10, text=text_content)
+        
+        # Return PDF as byte string
+        return pdf.output(dest='S')
+
+    # --- UI LAYOUT ---
+    st.markdown("### 📝 LMS Text to PDF Converter")
+    st.info("Paste your text below. This tool supports Math symbols ($ \Sigma, \Delta $) and foreign languages.")
+
+    # 1. Input
+    raw_text = st.text_area("Paste Question/Text Here:", height=250)
+    
+    # 2. Settings
+    col1, col2 = st.columns(2)
+    with col1:
+        auto_clean = st.checkbox("Remove LMS hidden codes like [ID_123]", value=True)
+    with col2:
+        filename = st.text_input("Filename", value="notes.pdf")
+
+    # 3. Action
+    if st.button("Convert to PDF"):
+        if not raw_text:
+            st.error("Please paste some text first.")
+        else:
+            # Process
+            clean_text = clean_lms_text(raw_text, active=auto_clean)
+            pdf_data = create_pdf(clean_text)
+            
+            if pdf_data:
+                st.success("Conversion Successful!")
+                # Download Button
+                st.download_button(
+                    label="📥 Download PDF",
+                    data=pdf_data,
+                    file_name=filename if filename.endswith('.pdf') else f"{filename}.pdf",
+                    mime="application/pdf"
+                )
+
+
+    
 import streamlit as st
 from huggingface_hub import InferenceClient
 import os
@@ -971,6 +1085,7 @@ if __name__ == "__main__":
     elif mode == "stopwatch": tool_stopwatch()
     elif mode == "python": tool_python_checker()
     elif mode == "seo": render_seo_ui()
+    elif mode == "Pdf Converter": run_pdf_converter_app()
     
     # 5. HOME DASHBOARD (Button Grid)
     else:
@@ -983,6 +1098,7 @@ if __name__ == "__main__":
         
         with c1:
             st.info("**📂 Media & Files**")
+            if st.button("🎥 Pdf"): set_mode("Pdf Converter"); st.rerun()
             if st.button("🎥 YouTube Downloader"): set_mode("youtube"); st.rerun()
             if st.button("🎥 Seo Generator"): set_mode("seo"); st.rerun()