Create README.md

README.md

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+# 🧠 E&C Model Interactive Platform  
+## Entrenchment & Conventionalization Visual Demonstration
+
+This HuggingFace Space provides an interactive visualization of **Hans-Jörg Schmid’s Entrenchment & Conventionalization (E&C) Model**.  
+It allows users to explore how **individual cognitive processes (Entrenchment)** and **community-level linguistic diffusion (Conventionalization)** jointly shape language usage patterns.
+
+---
+
+# 🌟 Features
+
+### 🔹 1. Single-Expression Analysis  
+Input any expression (e.g., *kind of*, *内卷*, *sort of*) and view:
+
+- Entrenchment curve (E)
+- Conventionalization curve (C)
+- Frequency-driven curve shapes
+- Linguistic explanations
+- Automated summary based on E&C theory
+
+---
+
+### 🔹 2. Two-Expression Comparison  
+Compare two expressions (e.g., *kind of* vs *sort of*):
+
+- Entrenchment curves overlay
+- Conventionalization curves overlay
+- Heatmap showing E-curve differences
+- Automatic expert interpretation:
+  - Cognitive automation differences  
+  - Community adoption differences  
+  - Frequency-based explanations  
+
 ---
-title: ECModel
-emoji: 🏃
-colorFrom: green
-colorTo: purple
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
+
+### 🔹 3. Visualizations Included
+- Sigmoid-based Entrenchment model
+- Logistic-based Conventionalization model
+- Normalized heatmaps for differential processing
+- Styled card-based UI with gradient background
+
+> 📌 Note: The platform uses **mock frequencies** internally to ensure stable execution on HuggingFace.  
+A real-corpus version (Wikipedia, BookCorpus, OSCAR, etc.) is available upon request.
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📸 Screenshot (示意图占位符)
+
+> *You can upload your Space screenshot here later.*
+