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import requests
import time
# --- CONFIGURATION ---
# Your AMD MI300X Droplet IP
DROPLET_IP = "134.199.195.151"
# Make sure this is your currently active Pinggy URL!
API_URL = "https://jqzih-134-199-192-140.run.pinggy-free.link/translate"
# --- LOGIC ---
def ghost_translate(cuda_code):
# Step 1: Initial UI Feedback
yield "👻 Ghost-Coder: Analyzing CUDA Kernel...", "Loading..."
try:
# --- THE MAGIC FIX: ChatML Instruction Template ---
# This forces the Qwen model to act as an assistant instead of an autocomplete
formatted_prompt = f"""<|im_start|>system
You are Ghost-Coder, an expert AI specializing in translating CUDA code to AMD HIP code. Output ONLY the valid, translated HIP code. Do not echo the prompt or include markdown formatting.<|im_end|>
<|im_start|>user
Translate this exact CUDA code to HIP:
{cuda_code}<|im_end|>
<|im_start|>assistant
"""
# Step 2: Real API Call to your MI300X
# We send the strictly formatted prompt instead of just the raw code
response = requests.post(API_URL, json={"code": formatted_prompt}, timeout=120)
if response.status_code == 200:
hip_code = response.json().get("hip_code", "// Error: No code returned")
# Failsafe: Clean up the output in case the model echoes the prompt
hip_code = hip_code.replace(formatted_prompt, "").strip()
# Step 3: Agentic Visual Steps (Self-Healing Simulation)
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 terminal"
except Exception as e:
yield f"❌ Connection Error: Ensure bridge is running on {DROPLET_IP}", str(e)
# --- UI DESIGN ---
# Using gr.Blocks() for a professional, agentic look
with gr.Blocks() as demo:
gr.Markdown("# 👻 Ghost-Coder: Autonomous CUDA-to-HIP Agent")
gr.Markdown("### Powered by 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 Kernel\n__global__ void add(int *a) { ... }"
)
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)
# Linking the button to our translation function
run_btn.click(ghost_translate, inputs=[input_code], outputs=[logs, output_code])
# Launching the app with the 'Soft' theme moved to the launch method
demo.queue().launch(theme=gr.themes.Soft()) |