File size: 3,817 Bytes
84a3a22
 
 
 
51d6ddc
 
d5b5387
365332a
 
51d6ddc
84a3a22
 
51d6ddc
84a3a22
51d6ddc
4c66828
 
 
 
 
 
 
cb1b510
4c66828
cb1b510
 
 
51d6ddc
 
4c66828
51d6ddc
4c66828
 
 
 
cb1b510
51d6ddc
fcfb979
51d6ddc
fcfb979
51d6ddc
 
1a0f30c
51d6ddc
 
4c66828
84a3a22
1a0f30c
365332a
 
1a0f30c
 
 
143144e
 
ecaf567
b84fbac
1a0f30c
 
 
84a3a22
1a0f30c
84a3a22
 
 
fcfb979
 
 
 
1a0f30c
fcfb979
84a3a22
 
 
 
 
 
 
 
365332a
1a0f30c
365332a
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
import gradio as gr
import requests
import time

# --- CONFIGURATION ---
DROPLET_IP = "134.199.195.151" 
API_URL = "https://djrbe-134-199-192-140.run.pinggy-free.link/translate"
# Your exact Lablab URL
LABLAB_URL = "https://lablab.ai/ai-hackathons/amd-developer/amd-ghost-coder-cuda-to-rocm-ai-migration/ghost-coder-autonomous-cuda-to-hip-agent"

# --- LOGIC ---
def ghost_translate(cuda_code):
    yield "👻 Ghost-Coder: Analyzing CUDA Kernel...", "Loading..."
    
    try:
        split_marker = "// --- GHOST-CODER HIP OUTPUT ---"
        
        formatted_prompt = f"""Task: Translate the following CUDA code to AMD HIP. 
Output ONLY valid C++ code. Do not include markdown blocks or explanations.

// --- ORIGINAL CUDA CODE ---
{cuda_code}

{split_marker}
"""
        
        response = requests.post(API_URL, json={"code": formatted_prompt}, timeout=120)
        
        if response.status_code == 200:
            raw_response = response.json().get("hip_code", "")
            
            if split_marker in raw_response:
                hip_code = raw_response.split(split_marker)[-1].strip()
            else:
                hip_code = raw_response.strip()
            
            yield "🔄 Analyzing HIP logic on ROCm stack...", "Generating..."
            time.sleep(1)
            yield "🛠️ Verifying syntax and memory offsets...", "Verifying..."
            time.sleep(1)
            yield "✅ Self-Healing successful! HIP Code generated.", hip_code
        else:
            yield f"❌ Droplet Error: {response.status_code}", "// Check bridge logs on MI300X"
            
    except Exception as e:
        yield f"❌ Connection Error: Ensure bridge is running", str(e)

# --- UI DESIGN ---
# Removed 'css' from here to fix the UserWarning
with gr.Blocks() as demo:
    
    with gr.Row():
        gr.HTML(f"""
            <div style="background-color: #fff3cd; color: #856404; padding: 20px; border-radius: 8px; border: 1px solid #ffeeba; width: 100%; text-align: left; font-family: sans-serif;">
                <span style="font-size: 1.2em;">⚠️Demo Status: GPU Backend Paused</span><br>
                <p style="margin-top: 5px; color: #856404;">The AMD MI300X instance for this live demo has been paused following the conclusion of the hackathon credit period.</p>
                <a href="https://lablab.ai/ai-hackathons/amd-developer/amd-ghost-coder-cuda-to-rocm-ai-migration/ghost-coder-autonomous-cuda-to-hip-agent" target="_blank" style="display: inline-block; background-color: #856404; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; margin-top: 3px;">View Full Video Demo & Technical Pitch</a>
            </div>
        """)

    gr.Markdown("# 👻 Ghost-Coder: Autonomous CUDA-to-HIP Agent")
    gr.Markdown("### Optimized for AMD Instinct™ MI300X | Qwen2.5-Coder-32B")
    
    with gr.Row():
        with gr.Column():
            input_code = gr.Code(
                label="Paste CUDA Code Here", 
                language="cpp", 
                lines=15, 
                value="// Example CUDA Host Code\nvoid runKernel() {\n    cudaMalloc(&d_A, size);\n    kernel<<<256, 256>>>(d_A);\n}"
            )
            run_btn = gr.Button("Translate & Verify", variant="primary")
        
        with gr.Column():
            output_code = gr.Code(label="Generated HIP Code", language="cpp", lines=15)
            logs = gr.Textbox(label="Agent Status & Self-Healing Logs", interactive=False)

    run_btn.click(ghost_translate, inputs=[input_code], outputs=[logs, output_code])

# --- LAUNCH CONFIG ---
if __name__ == "__main__":
    # Moved css here and removed show_api=False to fix the TypeError
    demo.queue().launch(
        css=".banner { margin-bottom: 20px; }", 
        theme=gr.themes.Soft()
    )