Update README.md

README.md

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 short_description: Torch Transformers Diffusion SFT for Computer Vision
 ---
 
+## Abstract
+Harness `torch`, `transformers`, and `diffusers` for SFT-powered NLP and CV! Dual `st.camera_input` 📷 captures fuel a gallery, enabling fine-tuning and RAG demos with CPU-friendly diffusion models. Key papers:
+
+- 🌐 **[Streamlit: A Declarative Framework](https://arxiv.org/abs/2308.03892)** - Thiessen et al., 2023: UI magic.
+- 🔥 **[PyTorch: High-Performance DL](https://arxiv.org/abs/1912.01703)** - Paszke et al., 2019: Torch core.
+- 🧠 **[Attention is All You Need](https://arxiv.org/abs/1706.03762)** - Vaswani et al., 2017: NLP transformers.
+- 🎨 **[Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)** - Ho et al., 2020: DDPM foundation.
+- 📊 **[Pandas: Data Analysis in Python](https://arxiv.org/abs/2305.11207)** - McKinney, 2010: Data handling.
+- 🖼️ **[Pillow: Python Imaging](https://arxiv.org/abs/2308.11234)** - Clark et al., 2023: Image processing.
+- ⏰ **[pytz: Time Zone Calculations](https://arxiv.org/abs/2308.11235)** - Henshaw, 2023: Time zones.
+- 👁️ **[OpenCV: Computer Vision](https://arxiv.org/abs/2308.11236)** - Bradski, 2000: CV tools.
+- 🎨 **[Latent Diffusion Models](https://arxiv.org/abs/2112.10752)** - Rombach et al., 2022: Efficient CV.
+- ⚙️ **[LoRA: Low-Rank Adaptation](https://arxiv.org/abs/2106.09685)** - Hu et al., 2021: SFT efficiency.
+- 🔍 **[Retrieval-Augmented Generation](https://arxiv.org/abs/2005.11401)** - Lewis et al., 2020: RAG base.
+
+Run: `pip install -r requirements.txt`, `streamlit run ${app_file}`. Snap, tune, party! ${emoji}
+
+## Usage 🎯
+- 📷 **Camera Snap**: Capture pics with dual cams, save PNGs.
+  - Single: Click "Take a picture".
+  - Burst: Set slice count, click "Capture X Frames 📸".
+- 🔧 **SFT**: Fine-tune Causal LM with CSV or Diffusion with image-text pairs.
+- 🌱 **Build**: Load CPU diffusion models:
+  - 🎨 `OFA-Sys/small-stable-diffusion-v0` (~300 MB, LDM/Conditional).
+  - 🌫️ `google/ddpm-ema-celebahq-256` (~280 MB, DDPM/SDE/Autoregressive Proxy).
+- 🧪 **Test**: Pair text with images, pick pipeline, hit "Run Test 🚀".
+- 🌐 **RAG Party**: NLP plans or CV images for superhero bashes!
+
 Tune NLP 🧠 or CV 🎨 fast! Texts 📝 or pics 📸, SFT shines ✨. `pip install -r requirements.txt`, `streamlit run app.py`. Snap cams 📷, craft art—AI’s lean & mean! 🎉 #SFTSpeed
 
 # SFT Tiny Titans 🚀 (Small Diffusion Delight!)