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Update app.py
Browse files
app.py
CHANGED
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@@ -26,8 +26,8 @@ except ImportError:
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HF_TOKEN = os.environ.get("HF_TOKEN")
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SPACE_ID = os.environ.get("SPACE_ID")
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LOG_FILE = "engine_telemetry.json"
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RAM_LIMIT_PCT = 0.50
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SYSTEM_RESERVE_MB =
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DEFAULT_MODEL = "unsloth/Llama-3.2-1B-Instruct-GGUF"
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DEFAULT_QUANT = "Llama-3.2-1B-Instruct-Q4_K_M.gguf"
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@@ -93,15 +93,22 @@ class ResourceMonitor:
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@staticmethod
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def validate_deployment(file_path: str) -> (bool, str):
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# --- ENGINE CORE ---
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class ZeroEngine:
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def list_ggufs(self, repo_id: str) -> List[str]:
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try:
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files = self.api.list_repo_files(repo_id=repo_id)
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except Exception as e:
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logger.error(f"Scan error: {e}")
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return []
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def boot_kernel(self, repo: str, filename: str) -> str:
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try:
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valid, msg = ResourceMonitor.validate_deployment(path)
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if not valid:
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with self.kernel_lock:
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if self.llm:
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except Exception as e:
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return f"🔴 BOOT FAILURE: {str(e)}"
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def stitch_cache(self, ghost_text: str) -> str:
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try:
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tokens = self.llm.tokenize(ghost_text.encode("utf-8"))
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self.llm.eval(tokens)
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except Exception as e:
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logger.error(f"KV Cache priming failed: {e}")
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finally:
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@@ -200,30 +248,137 @@ class ZeroEngine:
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elapsed = time.time() - start_time
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tps = round(tokens_count / elapsed, 1) if elapsed > 0 else 0
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#
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history[-1]["content"] = f"{response_text}\n\n`[{tps} t/s]`"
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yield history
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self.telemetry.track_generation(tokens_count)
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except Exception as e:
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history[-1]["content"] = f"🔴 Runtime Error: {str(e)}"
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yield history
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# --- UI INTERFACE ---
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kernel = ZeroEngine()
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with gr.Row():
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with gr.Column(scale=8):
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# FIXED: Removed 'type="messages"' (deprecated/auto-detected in 6.5.0)
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chat_box = gr.Chatbot(
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label="Main Engine Feedback",
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height=650,
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show_label=False,
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autoscroll=True
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)
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with gr.Row():
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@@ -235,7 +390,7 @@ with gr.Blocks(title="ZeroEngine Kernel 6.5") as demo:
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)
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send_btn = gr.Button("EXE", variant="primary", scale=1)
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with gr.
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gr.Markdown("### 🛠️ Hardware Status")
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ram_metric = gr.Label(label="RAM Usage", value="0/0 GB")
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cpu_metric = gr.Label(label="CPU Load", value="0%")
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gr.Markdown("---")
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gr.Markdown("### 📡 Model Control")
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repo_input = gr.Textbox(label="HuggingFace Repo", value=DEFAULT_MODEL)
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quant_dropdown = gr.Dropdown(label="Available Quants", choices=[])
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with gr.Row():
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scan_btn = gr.Button("SCAN", size="sm")
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stitch_status = gr.Markdown("Cache: `EMPTY`")
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stitch_btn = gr.Button("STITCH", size="sm")
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log_output = gr.Code(
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# --- UI LOGIC ---
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def update_stats():
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def on_scan(repo):
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def on_boot(repo, file):
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#
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timer = gr.Timer(value=2)
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timer.tick(update_stats, None, [ram_metric, cpu_metric])
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scan_btn.click(on_scan, [repo_input], [quant_dropdown, log_output])
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boot_btn.click(on_boot, [repo_input, quant_dropdown], [boot_status, log_output])
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# --- LAUNCH ---
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if __name__ == "__main__":
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# FIXED: Theme and CSS parameters moved here for Gradio 6 compatibility
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demo.queue(max_size=20).launch(
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server_name="0.0.0.0",
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)
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HF_TOKEN = os.environ.get("HF_TOKEN")
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SPACE_ID = os.environ.get("SPACE_ID")
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LOG_FILE = "engine_telemetry.json"
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RAM_LIMIT_PCT = 0.85 # Increased from 0.50 to prevent false rejections
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SYSTEM_RESERVE_MB = 500 # Increased reserve
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DEFAULT_MODEL = "unsloth/Llama-3.2-1B-Instruct-GGUF"
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DEFAULT_QUANT = "Llama-3.2-1B-Instruct-Q4_K_M.gguf"
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@staticmethod
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def validate_deployment(file_path: str) -> (bool, str):
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try:
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vm = psutil.virtual_memory()
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file_size_mb = os.path.getsize(file_path) / (1024**2)
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total_ram_mb = vm.total / (1024**2)
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avail_ram_mb = vm.available / (1024**2)
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logger.info(f"Validation - Model: {file_size_mb:.1f}MB | Available RAM: {avail_ram_mb:.1f}MB | Total: {total_ram_mb:.1f}MB")
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if file_size_mb > (total_ram_mb * RAM_LIMIT_PCT):
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return False, f"Model size ({file_size_mb:.1f}MB) exceeds safety limit ({total_ram_mb * RAM_LIMIT_PCT:.1f}MB)."
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if (file_size_mb + SYSTEM_RESERVE_MB) > avail_ram_mb:
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return False, f"Insufficient RAM. Need {file_size_mb+SYSTEM_RESERVE_MB:.1f}MB, have {avail_ram_mb:.1f}MB available."
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return True, "Validation Passed."
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except Exception as e:
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logger.error(f"Validation error: {e}")
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return False, f"Validation error: {str(e)}"
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# --- ENGINE CORE ---
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class ZeroEngine:
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def list_ggufs(self, repo_id: str) -> List[str]:
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try:
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files = self.api.list_repo_files(repo_id=repo_id)
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ggufs = [f for f in files if f.endswith(".gguf")]
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logger.info(f"Found {len(ggufs)} GGUF files in {repo_id}")
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return ggufs
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except Exception as e:
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logger.error(f"Scan error: {e}")
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return []
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def boot_kernel(self, repo: str, filename: str) -> str:
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"""Boot kernel with proper error handling to prevent space crashes"""
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try:
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if not repo or not filename:
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return "🔴 ERROR: Repository or filename missing"
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logger.info(f"[BOOT] Starting download: {filename} from {repo}")
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# Download with timeout protection
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try:
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path = hf_hub_download(
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repo_id=repo,
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filename=filename,
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token=HF_TOKEN,
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local_files_only=False
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)
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logger.info(f"[BOOT] Download complete: {path}")
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except Exception as e:
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logger.error(f"[BOOT] Download failed: {e}")
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return f"🔴 DOWNLOAD FAILED: {str(e)}"
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# Validate before loading
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valid, msg = ResourceMonitor.validate_deployment(path)
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if not valid:
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logger.warning(f"[BOOT] Validation failed: {msg}")
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return f"🔴 VALIDATION FAILED: {msg}"
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logger.info("[BOOT] Validation passed, initializing model...")
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# Load model with proper cleanup
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with self.kernel_lock:
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# Clear previous model
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if self.llm:
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logger.info("[BOOT] Clearing previous model...")
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try:
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del self.llm
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self.llm = None
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except Exception as e:
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logger.warning(f"[BOOT] Cleanup warning: {e}")
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# Initialize new model with conservative settings
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try:
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logger.info("[BOOT] Loading model into memory...")
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self.llm = Llama(
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model_path=path,
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n_ctx=2048,
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n_threads=2,
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use_mmap=True, # Critical: memory map to reduce RAM usage
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n_batch=256, # Reduced from 512 to be safer
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n_gpu_layers=0, # Force CPU only
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verbose=False
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)
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self.active_model_info = {"repo": repo, "file": filename}
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self.telemetry.track_load(repo, filename)
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logger.info("[BOOT] Model loaded successfully!")
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return f"🟢 KERNEL ONLINE: {filename}"
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except Exception as e:
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logger.error(f"[BOOT] Model loading failed: {e}")
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self.llm = None
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return f"🔴 LOAD FAILED: {str(e)}"
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except Exception as e:
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logger.error(f"[BOOT] Unexpected error: {e}")
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return f"🔴 BOOT FAILURE: {str(e)}"
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def stitch_cache(self, ghost_text: str) -> str:
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try:
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tokens = self.llm.tokenize(ghost_text.encode("utf-8"))
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self.llm.eval(tokens)
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logger.info(f"Ghost cache primed: {len(tokens)} tokens")
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except Exception as e:
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logger.error(f"KV Cache priming failed: {e}")
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finally:
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elapsed = time.time() - start_time
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tps = round(tokens_count / elapsed, 1) if elapsed > 0 else 0
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# Update history with streaming content
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history[-1]["content"] = f"{response_text}\n\n`[{tps} t/s]`"
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yield history
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self.telemetry.track_generation(tokens_count)
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except Exception as e:
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logger.error(f"Inference error: {e}")
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history[-1]["content"] = f"🔴 Runtime Error: {str(e)}"
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yield history
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# --- CUSTOM CSS ---
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CUSTOM_CSS = """
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@import url('https://fonts.cdnfonts.com/css/consolas');
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* {
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font-family: 'Consolas', 'Courier New', monospace !important;
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}
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/* Global smooth rounded corners */
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.gradio-container {
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border-radius: 24px !important;
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}
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/* All buttons */
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button {
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border-radius: 16px !important;
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transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important;
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font-family: 'Consolas', monospace !important;
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}
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button:hover {
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transform: translateY(-2px);
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box-shadow: 0 8px 16px rgba(0,0,0,0.2) !important;
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}
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/* Input fields */
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input, textarea, .gr-textbox, .gr-dropdown {
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border-radius: 12px !important;
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font-family: 'Consolas', monospace !important;
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}
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/* Chat messages */
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.message {
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border-radius: 16px !important;
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font-family: 'Consolas', monospace !important;
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}
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/* Code blocks */
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.gr-code {
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border-radius: 12px !important;
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font-family: 'Consolas', monospace !important;
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}
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/* Labels */
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.gr-label {
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border-radius: 12px !important;
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font-family: 'Consolas', monospace !important;
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}
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/* Sidebar */
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| 311 |
+
.gr-sidebar {
|
| 312 |
+
border-radius: 20px !important;
|
| 313 |
+
background: linear-gradient(135deg, rgba(20,20,40,0.95), rgba(10,10,20,0.98)) !important;
|
| 314 |
+
backdrop-filter: blur(10px) !important;
|
| 315 |
+
}
|
| 316 |
+
|
| 317 |
+
/* Markdown sections */
|
| 318 |
+
.gr-markdown {
|
| 319 |
+
font-family: 'Consolas', monospace !important;
|
| 320 |
+
}
|
| 321 |
+
|
| 322 |
+
/* Chatbot container */
|
| 323 |
+
.chatbot {
|
| 324 |
+
border-radius: 20px !important;
|
| 325 |
+
font-family: 'Consolas', monospace !important;
|
| 326 |
+
}
|
| 327 |
+
|
| 328 |
+
/* Dropdown menus */
|
| 329 |
+
.gr-dropdown-menu {
|
| 330 |
+
border-radius: 12px !important;
|
| 331 |
+
font-family: 'Consolas', monospace !important;
|
| 332 |
+
}
|
| 333 |
+
|
| 334 |
+
/* Column containers */
|
| 335 |
+
.gr-column {
|
| 336 |
+
border-radius: 16px !important;
|
| 337 |
+
}
|
| 338 |
+
|
| 339 |
+
/* Row containers */
|
| 340 |
+
.gr-row {
|
| 341 |
+
border-radius: 12px !important;
|
| 342 |
+
}
|
| 343 |
+
|
| 344 |
+
/* Smooth animations for all interactive elements */
|
| 345 |
+
* {
|
| 346 |
+
transition: all 0.2s ease !important;
|
| 347 |
+
}
|
| 348 |
+
|
| 349 |
+
/* Header styling */
|
| 350 |
+
h1, h2, h3, h4, h5, h6 {
|
| 351 |
+
font-family: 'Consolas', monospace !important;
|
| 352 |
+
}
|
| 353 |
+
"""
|
| 354 |
+
|
| 355 |
# --- UI INTERFACE ---
|
| 356 |
kernel = ZeroEngine()
|
| 357 |
|
| 358 |
+
with gr.Blocks(title="ZeroEngine Kernel 6.5", css=CUSTOM_CSS) as demo:
|
| 359 |
+
gr.HTML("""
|
| 360 |
+
<div style='text-align: center; padding: 30px; border-radius: 24px;
|
| 361 |
+
background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
|
| 362 |
+
margin-bottom: 30px; box-shadow: 0 10px 30px rgba(0,0,0,0.3);'>
|
| 363 |
+
<h1 style='margin: 0; font-size: 3em; background: linear-gradient(90deg, #00d4ff, #7b2ff7);
|
| 364 |
+
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
|
| 365 |
+
font-family: Consolas, monospace;'>
|
| 366 |
+
🛰️ ZEROENGINE V0.1
|
| 367 |
+
</h1>
|
| 368 |
+
<p style='margin: 10px 0 0 0; color: #888; font-family: Consolas, monospace;'>
|
| 369 |
+
Gradio 6.5.0 Production Build | Smooth Rounded UI
|
| 370 |
+
</p>
|
| 371 |
+
</div>
|
| 372 |
+
""")
|
| 373 |
|
| 374 |
with gr.Row():
|
| 375 |
with gr.Column(scale=8):
|
|
|
|
| 376 |
chat_box = gr.Chatbot(
|
| 377 |
label="Main Engine Feedback",
|
| 378 |
height=650,
|
| 379 |
show_label=False,
|
| 380 |
+
autoscroll=True,
|
| 381 |
+
container=True
|
| 382 |
)
|
| 383 |
|
| 384 |
with gr.Row():
|
|
|
|
| 390 |
)
|
| 391 |
send_btn = gr.Button("EXE", variant="primary", scale=1)
|
| 392 |
|
| 393 |
+
with gr.Column(scale=3):
|
| 394 |
gr.Markdown("### 🛠️ Hardware Status")
|
| 395 |
ram_metric = gr.Label(label="RAM Usage", value="0/0 GB")
|
| 396 |
cpu_metric = gr.Label(label="CPU Load", value="0%")
|
|
|
|
| 398 |
gr.Markdown("---")
|
| 399 |
gr.Markdown("### 📡 Model Control")
|
| 400 |
repo_input = gr.Textbox(label="HuggingFace Repo", value=DEFAULT_MODEL)
|
| 401 |
+
quant_dropdown = gr.Dropdown(label="Available Quants", choices=[], interactive=True)
|
| 402 |
|
| 403 |
with gr.Row():
|
| 404 |
scan_btn = gr.Button("SCAN", size="sm")
|
|
|
|
| 416 |
stitch_status = gr.Markdown("Cache: `EMPTY`")
|
| 417 |
stitch_btn = gr.Button("STITCH", size="sm")
|
| 418 |
|
| 419 |
+
log_output = gr.Code(
|
| 420 |
+
label="Kernel Logs",
|
| 421 |
+
language="shell",
|
| 422 |
+
value="[INIT] System Ready.",
|
| 423 |
+
lines=5
|
| 424 |
+
)
|
| 425 |
|
| 426 |
# --- UI LOGIC ---
|
| 427 |
def update_stats():
|
| 428 |
+
try:
|
| 429 |
+
m = ResourceMonitor.get_metrics()
|
| 430 |
+
return f"{m['ram_used_gb']}/{m['ram_total_gb']} GB", f"{m['cpu_usage_pct']}%"
|
| 431 |
+
except Exception as e:
|
| 432 |
+
logger.error(f"Stats update error: {e}")
|
| 433 |
+
return "Error", "Error"
|
| 434 |
|
| 435 |
def on_scan(repo):
|
| 436 |
+
try:
|
| 437 |
+
if not repo:
|
| 438 |
+
return gr.update(choices=[], value=None), "⚠️ Please enter a repository ID"
|
| 439 |
+
|
| 440 |
+
logger.info(f"Scanning repository: {repo}")
|
| 441 |
+
files = kernel.list_ggufs(repo)
|
| 442 |
+
|
| 443 |
+
if not files:
|
| 444 |
+
return gr.update(choices=[], value=None), f"❌ No GGUFs found in {repo}"
|
| 445 |
+
|
| 446 |
+
return gr.update(choices=files, value=files[0]), f"✅ Found {len(files)} GGUF file(s)"
|
| 447 |
+
except Exception as e:
|
| 448 |
+
logger.error(f"Scan error: {e}")
|
| 449 |
+
return gr.update(choices=[], value=None), f"🔴 Scan failed: {str(e)}"
|
| 450 |
|
| 451 |
def on_boot(repo, file):
|
| 452 |
+
try:
|
| 453 |
+
if not repo or not file:
|
| 454 |
+
yield "🔴 ERROR: Repository and filename required", gr.update()
|
| 455 |
+
return
|
| 456 |
+
|
| 457 |
+
yield "⚙️ System: Initiating boot sequence...", gr.update()
|
| 458 |
+
time.sleep(0.5) # Small delay for UI feedback
|
| 459 |
+
|
| 460 |
+
result = kernel.boot_kernel(repo, file)
|
| 461 |
+
yield result, gr.update()
|
| 462 |
+
|
| 463 |
+
except Exception as e:
|
| 464 |
+
logger.error(f"Boot UI error: {e}")
|
| 465 |
+
yield f"🔴 BOOT ERROR: {str(e)}", gr.update()
|
| 466 |
|
| 467 |
+
# Timer for periodic stats updates
|
| 468 |
timer = gr.Timer(value=2)
|
| 469 |
timer.tick(update_stats, None, [ram_metric, cpu_metric])
|
| 470 |
|
| 471 |
+
# Event handlers
|
| 472 |
scan_btn.click(on_scan, [repo_input], [quant_dropdown, log_output])
|
| 473 |
boot_btn.click(on_boot, [repo_input, quant_dropdown], [boot_status, log_output])
|
| 474 |
|
|
|
|
| 485 |
|
| 486 |
# --- LAUNCH ---
|
| 487 |
if __name__ == "__main__":
|
|
|
|
| 488 |
demo.queue(max_size=20).launch(
|
| 489 |
server_name="0.0.0.0",
|
| 490 |
+
server_port=7860,
|
| 491 |
+
share=False
|
| 492 |
)
|