Create app.py

app.py

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+import streamlit as st
+from PIL import Image
+import io
+import re
+from bs4 import BeautifulSoup
+import markdown
+
+# --- 1. UI Configuration (Best UI Settings) ---
+st.set_page_config(
+    page_title="Professional Toolkit",
+    page_icon="⚡",
+    layout="centered", # Keeps UI focus in the center
+    initial_sidebar_state="collapsed"
+)
+
+# Custom CSS for a cleaner look
+st.markdown("""
+    <style>
+    .stButton>button {
+        width: 100%;
+        border-radius: 5px;
+        height: 3em;
+        background-color: #FF4B4B;
+        color: white;
+    }
+    .stTextArea textarea {
+        font-size: 16px;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+st.title("⚡ Webmaster's Toolkit")
+st.caption("High-Performance Tools for Bloggers & Developers")
+
+# Create Tabs for the two tools
+tab1, tab2 = st.tabs(["📝 Text Cleaner & SEO", "🖼️ Media Optimizer"])
+
+# ==========================================
+# TOOL 1: SEO Text Cleaner (The "3rd" Request)
+# ==========================================
+with tab1:
+    st.header("Content Humanizer & Cleaner")
+    st.info("Paste your raw text, AI drafts, or messy HTML below to clean it instantly.")
+    
+    # Input
+    raw_text = st.text_area("Input Text", height=200, placeholder="Paste text here...")
+    
+    col1, col2, col3 = st.columns(3)
+    
+    # Processing Logic
+    processed_text = ""
+    
+    if raw_text:
+        # Option A: Strip HTML (Clean for pasting)
+        if col1.button("Strip HTML"):
+            soup = BeautifulSoup(raw_text, "html.parser")
+            processed_text = soup.get_text(separator=" ")
+            
+        # Option B: Humanize / Clean Spacing
+        if col2.button("Fix Spacing & Case"):
+            # Remove multiple spaces
+            text = re.sub(r'\s+', ' ', raw_text).strip()
+            # Fix sentence casing (basic)
+            processed_text = ". ".join([s.capitalize() for s in text.split(". ")])
+            
+        # Option C: Markdown to HTML
+        if col3.button("MD to HTML"):
+            processed_text = markdown.markdown(raw_text)
+
+        # Output Display
+        if processed_text:
+            st.success("Processing Complete!")
+            st.text_area("Result", value=processed_text, height=200)
+            st.download_button("Download Result", data=processed_text, file_name="clean_text.txt")
+
+# ==========================================
+# TOOL 2: Media Optimizer (The "1st" Request)
+# ==========================================
+with tab2:
+    st.header("Image Optimizer (WebP Converter)")
+    st.info("Upload heavy images (JPG/PNG) and convert them to lightweight WebP for better SEO.")
+    
+    uploaded_file = st.file_uploader("Upload an Image", type=['png', 'jpg', 'jpeg'])
+    
+    if uploaded_file is not None:
+        # Show original stats
+        original_image = Image.open(uploaded_file)
+        st.write(f"**Original Size:** {original_image.size[0]}x{original_image.size[1]}")
+        
+        # Settings
+        quality = st.slider("Compression Quality", 10, 100, 80)
+        resize_factor = st.slider("Resize (%)", 10, 100, 100)
+        
+        if st.button("Optimize Image"):
+            with st.spinner("Processing..."):
+                # 1. Resize if needed
+                if resize_factor < 100:
+                    width, height = original_image.size
+                    new_width = int(width * resize_factor / 100)
+                    new_height = int(height * resize_factor / 100)
+                    original_image = original_image.resize((new_width, new_height), Image.LANCZOS)
+                
+                # 2. Convert to WebP
+                buffer = io.BytesIO()
+                original_image.save(buffer, format="WEBP", quality=quality, optimize=True)
+                buffer.seek(0)
+                
+                # 3. Success & Download
+                st.success(f"Done! Image compressed.")
+                
+                col_a, col_b = st.columns(2)
+                with col_a:
+                    st.image(original_image, caption="Preview", use_container_width=True)
+                with col_b:
+                    st.download_button(
+                        label="Download WebP",
+                        data=buffer,
+                        file_name="optimized_image.webp",
+                        mime="image/webp"
+                    )