Update README.md

README.md

@@ -1,3 +1,85 @@
----
-license: mit
----
+license: mit
+language:
+
+en
+
+zh
+tags:
+
+medical
+
+multimodal
+
+routing
+
+RAG
+
+siglip
+
+🧠 MANN-Engram-Router Weights
+
+Welcome to the official model hub for MANN-Engram!
+MANN-Engram is an Edge-Cloud Multimodal Semantic Router designed to shield Cloud VLMs (Vision-Language Models) from "Information Tsunamis" in complex medical and high-noise scenarios.
+
+This repository hosts the custom Skew-Gaussian tensor routing weights required by the MANN-Engram SDK.
+
+🔗 GitHub Repository: MANN-Engram GitHub (Replace with your link)
+
+📦 What's in this Repository?
+
+To keep the installation footprint as light as possible, this repository only contains the custom routing core weights (the Skew-Gaussian compressor).
+
+The foundational multimodal encoder (google/siglip-so400m-patch14-384) is automatically handled and downloaded by the transformers library when you initialize the SDK.
+
+📂 Directory Structure
+
+We provide language-specific routing weights to ensure the highest semantic extraction accuracy:
+
+📁 en/ (English Version - Available Now)
+
+skew_model_v4full_en.pt: The core weights for the mann_engram_en Python SDK.
+
+📁 zh/ (Chinese Version - Coming Soon)
+
+skew_model_v4full_zh.pt: Optimized for Chinese medical contexts and intent extraction.
+
+🚀 Quick Start
+
+1. Install the SDK
+
+Make sure you have installed the MANN-Engram SDK from our GitHub repository:
+
+# Clone the GitHub repo and install
+pip install -e .
+
+
+2. Download the Weights
+
+Download the skew_model_v4full_en.pt file from the en/ folder in this repository. We recommend placing it in a weights/ directory at the root of your project.
+
+3. Initialize the Router
+
+from mann_engram_en.router import MANNEngramRouter
+
+# Initialize the router (Hardcore Local Privacy Mode)
+router = MANNEngramRouter(
+    siglip_model_path="google/siglip-so400m-patch14-384", # Handled via Hugging Face automatically
+    ckpt_path="./weights/skew_model_v4full_en.pt",        # The weight file from this repo
+    enable_local_intent=True,                             # Zero Data Leakage local extraction
+    local_intent_model="Qwen/Qwen2.5-0.5B-Instruct"
+)
+
+# Start purifying your messy clinical data and multimodal files!
+results = router.process_session(
+    raw_chat_input="Doctor hurry up! I hit my head on the door yesterday... Check these lab reports.",
+    file_paths=["blood_test.pdf", "history.docx"],
+    image_paths=["head_ct.jpg", "leg_mri.jpg"],
+    top_p=0.85
+)
+
+print(f"✅ Successfully extracted core evidence! Stats: {results['stats']}")
+
+
+🛡️ License & Citation
+
+These weights are released under the MIT License. If you use MANN-Engram in your research or production, please consider citing our GitHub repository.