Fix app_file path to scripts/demo_gradio.py

README.md

@@ -1,14 +1,67 @@
 ---
 title: LexiMind
-emoji: 📊
-colorFrom: pink
-colorTo: gray
+emoji: 🧠
+colorFrom: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 5.49.1
-app_file: app.py
+app_file: scripts/demo_gradio.py
 pinned: false
 license: mit
-short_description: Multi-Task Transformer for Document Analysis
+short_description: Multi-task transformer for document understanding
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# LexiMind
+
+LexiMind is a multitask transformer that performs document summarization, multi-label emotion detection, and topic classification in a single Gradio experience. The project packages the training code, inference pipeline, and visual analytics needed to explore model behavior.
+
+## Run The Demo Locally
+
+```bash
+pip install -r requirements.txt
+python scripts/demo_gradio.py
+```
+
+The Gradio space expects the following assets to be available at runtime:
+
+- `checkpoints/best.pt` – multitask model weights
+- `artifacts/hf_tokenizer/` – tokenizer files (or adjust the `tokenizer_dir` argument)
+- `data/labels.json` – label metadata for emotion and topic heads
+
+## Features
+
+- 📝 **Text Summarization** with adjustable compression
+- 😊 **Emotion Detection** with visualization
+- 🏷️ **Topic Prediction** with confidence scores
+- 🔥 **Attention Heatmap** visualization
+
+## Project Structure
+
+```
+.
+├── configs/                 # YAML presets for data, model, and training runs
+├── scripts/
+│   ├── demo_gradio.py       # Hugging Face Space entry point
+│   ├── train.py             # Training CLI
+│   └── inference.py         # Batch inference utility
+├── src/
+│   ├── data/                # Tokenization, datasets, and dataloaders
+│   ├── inference/           # Pipeline orchestration for multitask heads
+│   ├── models/              # Encoder/decoder/backbone modules
+│   ├── training/            # Trainer, callbacks, metrics, and losses
+│   └── visualization/       # Attention, embeddings, and metric plots
+├── tests/                   # Pytest suites for API, data, inference, models, training
+├── artifacts/               # Saved tokenizer assets
+├── checkpoints/             # Pretrained multitask checkpoints
+└── data/                    # Raw, processed, and cached datasets
+```
+
+## Usage
+
+Enter your text, adjust the compression slider, and click "Analyze" to see the results!
+
+## Repository
+
+GitHub: [OliverPerrin/LexiMind](https://github.com/OliverPerrin/LexiMind)
+
+HuggingFace: [OliverPerrin/LexiMind](https://huggingface.co/spaces/OliverPerrin/LexiMind)