diff --git a/demo_classification.py b/demo_classification.py
new file mode 100644
index 0000000..ddef731
--- /dev/null
+++ b/demo_classification.py
@@ -0,0 +1,140 @@
+#!/usr/bin/env python3
+"""
+Demo script showing how the video classification works
+"""
+
+import requests
+import base64
+import time
+import configparser
+config = configparser.ConfigParser()
+config.read('config.ini')
+
+ollama_host = config.get('DEFAULT', 'ollama_host', fallback='http://ollama:11434')
+
+def classify_demo_video(video_obj):
+    """Demonstrate video classification."""
+    try:
+        # If there's a thumbnail, convert image to base64
+        if video_obj.get('thumbnail'):
+            with open(video_obj['thumbnail'], "rb") as image_file:
+                print(image_file.read())
+                image_data = base64.b64encode(image_file.read()).decode('utf-8')
+                print(image_data)
+        else:
+            image_data = None
+
+        existing_classifications = ["Tech Reviews", "Cooking", "Gaming", "Music"]
+        
+        prompt = f"""
+        Please classify this YouTube video based on its title and thumbnail.
+        
+        Video Title: {video_obj['title']}
+        
+        Existing Classifications: {", ".join(existing_classifications)}
+        
+        Instructions:
+        1. If the video fits into one of the existing classifications, use that exact classification name.
+        2. If the video doesn't fit any existing classification, create a new appropriate classification name.
+        3. Classification names should be concise (1-3 words) and descriptive.
+        4. Examples of good classifications: "Tech Reviews", "Cooking", "Gaming", "Education", "Music", "Comedy", etc.
+        5. Respond with ONLY the classification name, nothing else.
+        """
+        
+        print(f"Classifying: '{video_obj['title']}'")
+        print(f"Using thumbnail: {video_obj.get('thumbnail', 'None')}")
+        print("Sending request to Ollama...")
+        
+        # Prepare the request payload
+        payload = {
+            'model': 'qwen2.5vl:7b',
+            'prompt': prompt,
+            'stream': False
+        }
+        
+        # Only include images if image_data is available
+        if image_data:
+            payload['images'] = [image_data]
+        
+        response = requests.post(
+            f'{ollama_host}/api/generate',
+            json=payload,
+            timeout=60
+        )
+        
+        if response.status_code == 200:
+            result = response.json()
+            classification = result['response'].strip().strip('"\'')
+            print(f"✅ Classification: '{classification}'")
+            return classification
+        else:
+            print(f"❌ Error: {response.status_code}")
+            return "Uncategorized"
+            
+    except Exception as e:
+        print(f"❌ Error: {e}")
+        return "Uncategorized"
+
+def run_demo():
+    """Run classification demo with sample videos."""
+    sample_videos = [
+        {
+            "title": "I can't believe this change!", 
+            "thumbnail": "img/iphone_thumbnail.png"
+        },
+        {
+            "title": "iPhone 15 Pro Review - Best Camera Phone?"
+        },
+        {
+            "title": "Easy Pasta Recipe for Beginners", 
+        },
+        {
+            "title": "Minecraft Survival Guide - Episode 1", 
+        },
+        {
+            "title": "Classical Piano Music for Studying", 
+        },
+        {
+            "title": "Machine Learning Explained Simply", 
+        },
+    ]
+    
+    print("YouTube Video Classification Demo")
+    print("=" * 40)
+    
+    results = []
+    
+    for i, video_obj in enumerate(sample_videos, 1):
+        print(f"\n--- Demo {i}/{len(sample_videos)} ---")
+        
+        # Classify the video
+        classification = classify_demo_video(video_obj)
+        results.append((video_obj['title'], classification))
+        
+        time.sleep(1)  # Be nice to the API
+    
+    print("\n" + "=" * 40)
+    print("DEMO RESULTS:")
+    print("=" * 40)
+    
+    for title, classification in results:
+        print(f"{classification:15} | {title}")
+    
+    print("\nDemo complete! The script can:")
+    print("• Use existing categories when appropriate")
+    print("• Create new categories for unique content")
+    print("• Analyze both title and thumbnail information")
+
+if __name__ == '__main__':
+    print(ollama_host)
+    # Check if Ollama is running
+    try:
+        response = requests.get(f'{ollama_host}/api/tags', timeout=5)
+        if response.status_code != 200:
+            print("❌ Ollama is not running. Please start it with: ollama serve")
+            exit(1)
+    except:
+        print("❌ Cannot connect to Ollama. Please start it with: ollama serve")
+        exit(1)
+    
+    run_demo()
diff --git a/img/iphone_thumbnail.png b/img/iphone_thumbnail.png
new file mode 100644
index 0000000..56cef5b
Binary files /dev/null and b/img/iphone_thumbnail.png differ