Professionalize UI and docs: Remove emojis and refine deployment guide

README.md

@@ -1,4 +1,4 @@
-# 🎯 FocusFlow: Real-Time Meeting Engagement Analytics
+# FocusFlow: Real-Time Meeting Engagement Analytics
 
 > **Premium Engagement Tracking Powered by AI and C++**  
 > Focused on Professional Productivity and Group Dynamic Monitoring.
@@ -48,19 +48,19 @@ graph TD
 
 ```
 FocusFlow/
-├── cpp_modules/       # ⚡ C++ Performance Module (Source)
-├── frontend/          # 🎨 Modern Web Interface (HTML/CSS/JS)
-├── src/               # 🧠 Core Application Logic
+├── cpp_modules/       # C++ Performance Module (Source)
+├── frontend/          # Modern Web Interface (HTML/CSS/JS)
+├── src/               # Core Application Logic
 │   ├── main.py        # FastAPI Gateway & Websockets
 │   ├── vision_engine.py# AI Vision Orchestrator
 │   ├── database.py    # SQLite Persistence Layer
-│   └── utils/         # 🛠️ Utility Scripts
-├── data/              # 🗄️ Storage (Database files)
-├── architecture.md    # 🏗️ Detailed Technical Docs
+│   └── utils/         # Utility Scripts
+├── data/              # Storage (Database files)
+├── architecture.md    # Detailed Technical Docs
 ├── file_manifest.md   # 📄 Breakdown of every file
-├── run.bat            # 🚀 One-Click Launcher (Windows)
-├── build_cpp.bat      # 🛠️ C++ Compilation Tool
-└── requirements.txt   # 📦 Dependencies
+├── run.bat            # One-Click Launcher (Windows)
+├── build_cpp.bat      # C++ Compilation Tool
+└── requirements.txt   # Dependencies
 ```
 
 ---

deployment_guide.md

@@ -15,10 +15,14 @@ Hugging Face Spaces is the best free option for FocusFlow because it supports Do
 Since your code is already on GitHub, you can either:
 
 ### Method A: Connect GitHub (Easiest)
-1. On your new Space page, go to **Settings**.
-2. Find the **"Connected GitHub Repository"** section.
-3. Link your `kush-rc/FocusFlow` repository.
-4. Hugging Face will automatically build and deploy whenever you push to GitHub.
+1. On your new Space page, go to the **Settings** tab (top right).
+2. Scroll down to the **"Connected Repository"** or **"Github Repository"** section.
+3. If you don't see your repo, click **"Connect your GitHub"** to authorize Hugging Face.
+4. Select your `kush-rc/FocusFlow` repository from the list.
+5. Hugging Face will automatically build and deploy whenever you push to GitHub.
+
+> [!NOTE]
+> If you still can't see the "Connected Repository" section, it might be because the Space was created as a "Standard" Space. Make sure you selected **Docker** as the SDK during creation.
 
 ### Method B: Manually Push via Git
 1. Get the Git URL of your Space (ends in `.git`).

frontend/index.html

@@ -65,7 +65,7 @@
             <!-- Dashboard View -->
             <section id="view-dashboard" class="view hidden">
                 <div class="welcome-box glass-panel">
-                    <h2>Welcome to FocusFlow <span class="wave" style="display:inline-flex; align-items:center; vertical-align:middle; border:1px solid rgba(0,0,0,0.1); border-radius:100px; padding:4px 8px; margin-left: 8px;"><i data-lucide="hand" style="width:24px;height:24px;"></i></span></h2>
+                    <h2>Welcome to FocusFlow</h2>
                     <p>FocusFlow is a real-time meeting analytics tool that tracks visual engagement during video calls. It uses advanced computer vision and C++ extensions to compute your focus score dynamically.</p>
                 </div>
 

src/main.py

@@ -369,6 +369,6 @@ if __name__ == "__main__":
     # In a container/cloud, we must use 0.0.0.0
     host = "0.0.0.0"
     
-    print(f"🚀 FocusFlow starting on http://{host}:{port}")
+    print(f"FocusFlow starting on http://{host}:{port}")
     # Disable reload because writing to the database triggers a server restart loop
     uvicorn.run("src.main:app", host=host, port=port, reload=False)