muhammadtlha944 commited on
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cb1b510
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1 Parent(s): a00144d

Update app.py

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  1. app.py +17 -1
app.py CHANGED
@@ -5,6 +5,7 @@ import time
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  # --- CONFIGURATION ---
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  # Your AMD MI300X Droplet IP
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  DROPLET_IP = "134.199.195.151"
 
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  API_URL = "https://jqzih-134-199-192-140.run.pinggy-free.link/translate"
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  # --- LOGIC ---
@@ -13,12 +14,27 @@ def ghost_translate(cuda_code):
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  yield "👻 Ghost-Coder: Analyzing CUDA Kernel...", "Loading..."
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  try:
 
 
 
 
 
 
 
 
 
 
 
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  # Step 2: Real API Call to your MI300X
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- response = requests.post(API_URL, json={"code": cuda_code}, timeout=120)
 
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  if response.status_code == 200:
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  hip_code = response.json().get("hip_code", "// Error: No code returned")
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  # Step 3: Agentic Visual Steps (Self-Healing Simulation)
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  yield "🔄 Analyzing HIP logic on ROCm stack...", "Generating..."
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  time.sleep(1)
 
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  # --- CONFIGURATION ---
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  # Your AMD MI300X Droplet IP
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  DROPLET_IP = "134.199.195.151"
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+ # Make sure this is your currently active Pinggy URL!
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  API_URL = "https://jqzih-134-199-192-140.run.pinggy-free.link/translate"
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  # --- LOGIC ---
 
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  yield "👻 Ghost-Coder: Analyzing CUDA Kernel...", "Loading..."
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  try:
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+ # --- THE MAGIC FIX: ChatML Instruction Template ---
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+ # This forces the Qwen model to act as an assistant instead of an autocomplete
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+ formatted_prompt = f"""<|im_start|>system
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+ 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|>
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+ <|im_start|>user
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+ Translate this exact CUDA code to HIP:
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+
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+ {cuda_code}<|im_end|>
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+ <|im_start|>assistant
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+ """
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+
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  # Step 2: Real API Call to your MI300X
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+ # We send the strictly formatted prompt instead of just the raw code
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+ response = requests.post(API_URL, json={"code": formatted_prompt}, timeout=120)
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  if response.status_code == 200:
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  hip_code = response.json().get("hip_code", "// Error: No code returned")
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+ # Failsafe: Clean up the output in case the model echoes the prompt
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+ hip_code = hip_code.replace(formatted_prompt, "").strip()
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+
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  # Step 3: Agentic Visual Steps (Self-Healing Simulation)
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  yield "🔄 Analyzing HIP logic on ROCm stack...", "Generating..."
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  time.sleep(1)