Add PyPi publication github workflow (#5)

* modify url

* add release github workflow

* install from pypi

Author: takkyu2

.github/workflows/release.yml

@@ -0,0 +1,23 @@
+name: Publish to PyPI
+on:
+  push:
+    tags: ["v*.*.*"]
+jobs:
+  release:
+    name: Publish to PyPI
+    runs-on: ubuntu-latest
+    environment: pypi
+    permissions:
+      id-token: write
+    steps:
+      - uses: actions/checkout@v4
+      - uses: astral-sh/setup-uv@v5
+
+      - name: Install the project
+        run: uv sync --all-groups
+
+      - name: Build wheel
+        run: uv build
+
+      - name: Publish package
+        run: uv publish

README.md

@@ -7,7 +7,7 @@
 [![arXiv](https://img.shields.io/badge/arXiv-2503.04412-B31B1B?logo=data:image/svg+xml;base64,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)](https://arxiv.org/abs/2503.04412)
 [![Blog](https://img.shields.io/badge/Blog-Sakana%20AI-blue?logo=data:image/png;base64,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)](https://sakana.ai/ab-mcts/)
 
-![AB-MCTS](images/figure1.png)
+![AB-MCTS](https://raw.githubusercontent.com/SakanaAI/treequest/main/images/figure1.png)
 
 A flexible answer tree search library featuring **AB-MCTS**, useful for (but not limited to) LLM inference-time scaling.
 
@@ -53,13 +53,13 @@ print(f"Best state: {best_state}, Score: {best_node_score}")
 ### uv
 First, install [`uv`](https://github.com/astral-sh/uv?tab=readme-ov-file#installation). Then you can install TreeQuest with the following command:
 ```bash
-uv add "treequest[abmcts-m]" "https://github.com/SakanaAI/treequest.git@main"
+uv add "treequest[abmcts-m]"
 ```
 
 ### pip
 Alternatively, you can use pip to install TreeQuest:
 ```bash
-pip install "treequest[abmcts-m] @ git+https://github.com/SakanaAI/treequest.git"
+pip install "treequest[abmcts-m]"
 ```
 
 ## Usage

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "treequest"
-version = "0.1.0"
+version = "0.1.1"
 description = "A Tree Search Library with Flexible API for LLM Inference-Time Scaling"
 readme = "README.md"
 authors = [