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import gradio as gr
import os


custom_css = """
.gradio-container {
    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}
.portfolio-header {
    text-align: center;
    padding: 2rem 0;
    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
    color: white;
    border-radius: 10px;
    margin-bottom: 2rem;
}
.section {
    margin: 2rem 0;
    padding: 1.5rem;
    background: #f8f9fa;
    border-radius: 8px;
    border-left: 4px solid #667eea;
}
.skill-tag {
    display: inline-block;
    padding: 0.5rem 1rem;
    margin: 0.3rem;
    background: #667eea;
    color: white;
    border-radius: 20px;
    font-size: 0.9rem;
}
.tech-tag {
    display: inline-block;
    padding: 0.4rem 0.8rem;
    margin: 0.2rem;
    background: #764ba2;
    color: white;
    border-radius: 15px;
    font-size: 0.85rem;
}
.project-card {
    padding: 1.5rem;
    margin: 1rem 0;
    background: white;
    border-radius: 8px;
    box-shadow: 0 2px 8px rgba(0,0,0,0.1);
    border-top: 3px solid #667eea;
}
.contact-info {
    padding: 1.5rem;
    margin: 1rem 0;
    background: white;
    border-radius: 8px;
    box-shadow: 0 2px 8px rgba(0,0,0,0.1);
}
.contact-link {
    color: #667eea;
    text-decoration: none;
    font-weight: 500;
}
.contact-link:hover {
    color: #764ba2;
    text-decoration: underline;
}
.proof-of-work {
    text-align: center;
    padding: 2rem;
    margin: 2rem 0;
    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
    border-radius: 10px;
}
.proof-of-work-link {
    font-size: 1.5rem;
    font-weight: 900;
    color: white;
    text-decoration: none;
    display: inline-block;
    padding: 1rem 2rem;
    margin: 0.5rem;
    background: rgba(255, 255, 255, 0.2);
    border-radius: 8px;
    border: 2px solid white;
    transition: all 0.3s ease;
}
.proof-of-work-link:hover {
    background: rgba(255, 255, 255, 0.3);
    transform: scale(1.05);
    text-decoration: none;
    color: white;
}
"""

def create_portfolio():
    profile_image_path = None
    possible_image_paths = [
        "IMG_4098.JPG", "IMG_4098.jpg", "IMG_4098.jpeg",
        "profile.jpg", "profile.jpeg", "profile.png", 
        "dp.jpg", "dp.jpeg", "dp.png",
        "portfolio.jpg", "portfolio.jpeg", "portfolio.png"
    ]
    
    # Check for any JPG/JPEG/PNG files in current directory
    for path in possible_image_paths:
        if os.path.exists(path):
            profile_image_path = path
            break
    
    # If still not found, search for any image file
    if not profile_image_path:
        for file in os.listdir("."):
            if file.lower().endswith(('.jpg', '.jpeg', '.png', '.gif', '.webp')):
                profile_image_path = file
                break
    
    if not profile_image_path:
        profile_image_path = None
    
    with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as portfolio:
        
        gr.HTML("""
        <div class="portfolio-header">
            <h1>AI Engineer & Founding Engineer</h1>
            <p style="font-size: 1.2rem; margin-top: 0.5rem;">Building Production-Ready AI Systems</p>
        </div>
        """)
        
        with gr.Row():
            with gr.Column(scale=1):
                if profile_image_path:
                    gr.Image(value=profile_image_path, label="Profile Picture", height=300, show_label=True)
                else:
                    gr.Image(label="Profile Picture", height=300, show_label=True, value=None)
            
            with gr.Column(scale=2):
                # About Me Section
                gr.Markdown("""
                ## About Me
                
                I am an AI Engineer and Founding Engineer with strong experience in building real-world AI systems end-to-end: from data, model development, infrastructure, to deployment. I specialize in creating production-ready ML pipelines, LLM applications, agent systems, and scalable backend services.
                
                I blend machine learning, software engineering, and product thinking to turn ideas into working AI solutions.
                
                **Yes, I use AI tools** β€” for further research, faster debugging, and as a tool to enhance my development workflow and productivity.
                """)
        
        # Proof of Work Section
        gr.HTML("""
        <div class="proof-of-work">
            <h2 style="color: white; margin-bottom: 1rem;">Proof of Work</h2>
            <div style="display: flex; flex-wrap: wrap; justify-content: center; gap: 1rem;">
                <a href="https://huggingface.co/nexusbert" class="proof-of-work-link" target="_blank">
                    View My Work on Hugging Face
                </a>
                <a href="https://github.com/neuralnex" class="proof-of-work-link" target="_blank">
                    View My Work on GitHub
                </a>
            </div>
        </div>
        """)
        
        # Core Skills Section
        gr.Markdown("""
        ## Core Skills
        """)
        
        with gr.Tabs():
            with gr.Tab("Machine Learning / Deep Learning"):
                gr.Markdown("""
                - **Model training, fine-tuning & evaluation**
                - **NLP, CV, Multimodal systems**
                - **RAG, embeddings**
                - **Deployment on GPU instances (Huggingface)**
                - **MLOps (TGI, vLLM, Docker)**
                """)
            
            with gr.Tab("LLM Engineering"):
                gr.Markdown("""
                - **Prompt engineering**
                - **Agentic workflows**
                - **Custom tools & function calling**
                - **Fine-tuning models (LoRA, QLoRA)**
                - **Building AI assistants & APIs**
                - **RAG pipelines with structured knowledge**
                """)
            
            with gr.Tab("Software / Backend Engineering"):
                gr.Markdown("""
                - **Node.js (TypeScript), Python**
                - **FAST APIs**
                - **Microservices architecture**
                - **Authentication, payments, dashboards**
                - **Real-time systems, event queues**
                """)
            
            with gr.Tab("AI Infrastructure"):
                gr.Markdown("""
                - **Docker & containerization**
                - **TGI / vLLM inference servers**
                - **Load balancing & scaling**
                - **On-prem & cloud GPU orchestration**
                """)
        
        # Technologies Section
        gr.Markdown("""
        ## Technologies I Use
        """)
        
        with gr.Row():
            with gr.Column():
                gr.Markdown("""
                ### Languages
                - **Python**
                - **TypeScript (Node.js)**
                """)
            
            with gr.Column():
                gr.Markdown("""
                ### Frameworks & Tools
                - **PyTorch**
                - **Hugging Face**
                - **Transformers**
                - **Gradio**
                - **FastAPI / Express**
                - **Docker**
                - **GitHub Actions**
                - **Nginx**
                """)
        
        gr.Markdown("""
        ## Featured Projects
        """)
        
        with gr.Column():
            # Project 1: Zurri
            with gr.Group():
                gr.Markdown("""
                ### Zurri β€” AI Agent Marketplace & Model Proxy
                
                **Role:** Founding Engineer  
                **Tech Stack:** Node.js, TypeScript, Docker, TGI, HuggingFace models
                
                **Highlights:**
                - Built scalable API proxy for creators to sell AI models/agents
                - Integration with Stripe & Flutterwave
                - Dynamic UI rendering for purchased agents
                - Backend architecture and optimization
                - Model access rate-limiting, security, and analytics
                """)
            
            # Project 2: Think Inclusion
            with gr.Group():
                gr.Markdown("""
                ### Think Inclusion β€” AI Sign Language + Speech Translator
                
                **Role:** Architecture Designer  
                **Status:** Model in production  
                **Tech Stack:** Deep learning, computer vision, transformers
                
                **Highlights:**
                - Real-time translation of sign language + speech
                - Multimodal pipeline design
                - Optimized for speed and accuracy
                """)
            
            # Project 3: AI Agriculture Intelligence System
            with gr.Group():
                gr.Markdown("""
                ### AI Agriculture Intelligence System
                
                **Role:** STT/TTS engineer  
                **Models Used:**
                - NCAIR models
                - Yarngpt
                - Multi-model ecosystem
                """)
        
        # Contact Section
        gr.Markdown("""
        ## Contact Me
        """)
        
        gr.HTML("""
        <div class="contact-info">
            <p style="font-size: 1.1rem; margin-bottom: 1rem;">
                <strong>πŸ“§ Email:</strong> 
                <a href="mailto:omezirizion@gmail.com" class="contact-link">omezirizion@gmail.com</a>
            </p>
            <p style="font-size: 1.1rem; margin-bottom: 1rem;">
                <strong>πŸ“ž Phone:</strong> 
                <a href="tel:+2347052284817" class="contact-link">+2347052284817</a>
            </p>
            <p style="font-size: 1.1rem; margin-bottom: 0;">
                <strong>πŸ’¬ WhatsApp:</strong> 
                <a href="https://wa.me/2349123809756" class="contact-link" target="_blank">09123809756</a>
            </p>
        </div>
        """)
        
        # Footer
        gr.Markdown("""
        ---
        <div style="text-align: center; padding: 2rem; color: #666;">
            <p>Built with Gradio</p>
        </div>
        """)
    
    return portfolio

if __name__ == "__main__":
    portfolio = create_portfolio()
    portfolio.launch()