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Dockerfile

@@ -1,13 +1,24 @@
-FROM python:3.11
-
-WORKDIR /code
-
-COPY ./requirements.txt /code/requirements.txt
-
-RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
-
-COPY . .
-
-EXPOSE 7860
-
-CMD ["shiny", "run", "app.py", "--host", "0.0.0.0", "--port", "8000"]
+FROM python:3.11-slim
+
+WORKDIR /code
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements
+COPY requirements.txt .
+
+# Install dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Expose port
+EXPOSE 8000
+
+# Run application
+CMD ["shiny", "run", "app.py", "--host", "0.0.0.0", "--port", "8000"]

README_HF.md

@@ -0,0 +1,49 @@
+---
+title: Attention Atlas
+emoji: 🌍
+colorFrom: pink
+colorTo: blue
+sdk: docker
+pinned: false
+license: mit
+short_description: Tool for exploring attention patterns, assessing bias, etc.
+app_port: 8000
+---
+
+# Attention Atlas 🌍
+
+An interactive application for visualizing and exploring **Transformer architectures** (BERT, GPT-2) in detail, with special focus on **multi-head attention patterns**, **head specializations**, **bias detection**, and **inter-sentence attention analysis**.
+
+## Overview
+
+Attention Atlas is an educational and analytical tool that allows you to visually explore every component of BERT and GPT-2 architectures:
+
+- **Token Embeddings & Positional Encodings**
+- **Q/K/V Projections** & **Scaled Dot-Product Attention**
+- **Multi-Head Attention** (Interactive Maps & Flow)
+- **Head Specialization Radar** (Syntax, Semantics, etc.)
+- **Bias Detection** (Token-level & Attention interaction)
+- **Token Influence Tree** (Hierarchical dependencies)
+- **Inter-Sentence Attention (ISA)**
+
+## Features
+
+- **Interactive Visualizations**: Powered by Plotly and D3.js.
+- **Real-Time Inference**: Uses PyTorch backend to run BERT/GPT-2 models on the fly.
+- **Bias Analysis**: Detects generalizations, stereotypes, and unfair language, analyzing how attention mechanisms process them.
+- **Full Architecture Explorer**: Inspect every layer, head, and residual connection.
+
+## Technologies
+
+- **Shiny for Python**
+- **Transformers (Hugging Face)**
+- **PyTorch**
+- **Plotly**
+
+## Usage
+
+Simply enter a sentence in the input box, select a model (BERT or GPT-2), and click **Generate** / **Analyze Bias**.
+
+---
+
+*Part of a Master's thesis on Interpretable Large Language Models.*