Create app.py

app.py

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+import gradio as gr
+
+with gr.Blocks() as demo:
+    gr.Markdown("""# Leela Chess Zero"
+    All transformer models here are \"Chessformers\", encoder-only transformers with the Geometric Attention Bias described in the paper `Chessformer: A Unified Architecture for  Chess Modeling`
+    They are written in the internal Lc0 format, which is compatible with the training code and the engine. They can be converted to onnx through the `leela2onnx` command in releases of the Lc0 engine.
+    BT4 is our largest model at 190M and corresponds to Leela-CF. BT4 and BT3 were trained with SFT on a prior RL run and the T1 models were distilled from a larger transformer."""
+)
+
+demo.launch()