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braingpt_implement
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---
title: braingpt_implement
emoji: 🦀
colorFrom: gray
colorTo: blue
sdk: docker
pinned: false
short_description: Implementing braingpt using BrainGPT-7B-v0.1
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

This app currently uses **BrainGPT** as the model engine for generating and evaluating abstracts.

---

## 🚀 Features

- 🧪 Presents users with neuroscience abstracts (either original or altered).
- ✅ Users decide if an abstract is AI-modified and rate their confidence.
- 🤖 BrainGPT model evaluates the same abstract.
- 📊 Results compare user guesses vs model output in a clear, styled interface.
- 📂 Backed by a curated dataset hosted on Hugging Face Datasets.
- 🛠️ Fully Dockerized FastAPI application deployed via Hugging Face Spaces.

---

## 📦 Tech Stack

- **Frontend**: Jinja2 + Tailwind-style CSS
- **Backend**: FastAPI
- **Model**: `BrainGPT-7B-v0.1` via Hugging Face Transformers
- **Hosting**: Hugging Face Spaces (Docker SDK)
- **Dataset**: Custom neuroscience benchmark (Parquet format)

---

## 🔧 Endpoints

- `/`: Home page
- `/start`: Begin a new session (random abstract trials)
- `/trial`: Active abstract assessment
- `/submit-trial`: Submit a response, compare with model
- `/results`: View summary of performance
- `/predict`: POST endpoint used internally to get BrainGPT-7B-v0.1 output

---

## 🧠 Example Use Case

1. A neuroscience researcher lands on the app.
2. They read an abstract and guess whether it’s been altered.
3. They rate their confidence.
4. BrainGPT-7B-v0.1 also analyzes the abstract.
5. After 3 rounds, the app displays a comparison: who got what right?

---

## 📌 Current Model

- Model: [`BrainGPT-7B-v0.1`](https://huggingface.co/BrainGPT/BrainGPT-7B-v0.1)
- Reason: Fast, lightweight, deployable in CPU-only Spaces

---

## 🗺️ Roadmap

- [ ] Add leaderboard tracking
- [ ] Expand dataset with more domains

---

## 🙌 Credits

Built by **Dr. David Andai** — a general practitioner & data scientist passionate about mental health and AI.