feat: create Bard-Proxy project

1. init project.

.env

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+# see bard.google.com -> F12 -> Application -> Cookies (https://bard.google.com) -> __Secure-1PSID
+BARD_PROXY_API_KEY={your-bard-key}

.gitignore

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+.idea
+.vscode
+*.so

Dockerfile

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+# 使用 Python 3.8 作为基础镜像
+FROM python:3.8
+
+# 将当前目录下的文件复制到容器的 /app 目录中
+COPY . /app
+
+# 设置工作目录为 /app
+WORKDIR /app
+
+# 安装依赖包
+RUN pip install -r requirements.txt
+
+# 暴露容器的端口
+EXPOSE 8671
+
+# 运行应用
+CMD ["python", "main.py"]

README.md

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 # Bard-Proxy
-A proxy for Bard LLM
+Proxy for Bard LLM
+
+## How to get your bard key
+
+Access from <a ref="https://bard.google.com/">Bard</a> 
+
+<p align="left">
+  <img src="./assets/bard_key.png" width="600px" />
+</p>
+
+
+## Quick Start
+
+### Method 1: Quick Start by Docker 
+
+```commandline
+# use your own bard key 'YOUR-BARD-KEY' instead.
+docker run -p 8671:8671 -e BARD_PROXY_API_KEY=YOUR-BARD-KEY bard_proxy
+```
+
+### Method 2: Start In Current Project
+1. set your bard key in .env file
+2. start python project
+> python main.py
+

main.py

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+import os
+from flask import Flask, request
+import bardapi
+from dotenv import load_dotenv
+
+load_dotenv()
+
+app = Flask(__name__)
+
+token = os.getenv("BARD_PROXY_API_KEY", "Not config")
+
+
+@app.route('/api/openai/v1/chat/completions', methods=['POST'])
+def do_request():
+    print(f'token={token}')
+    input_text = request.json.get('input')
+    response = bardapi.core.Bard(token).get_answer(input_text)
+    if response and response.get('content'):
+        return response['content']
+    return f"bard request error: response={str(response)}"
+
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=8671)

requirements.txt

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+bardapi==0.1.29
+flask
+python-dotenv