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:pencil: [Doc] Readme: Thanks, Features, Run API service, API usage
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README.md
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app_port: 22222
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```bash
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# pipreqs . --force --mode no-pin
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pip install -r requirements.txt
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```
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```bash
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```
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## Run
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```bash
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```
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Docker run
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```bash
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# no proxy
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sudo docker run -p 22222:22222 --env http_proxy="http://<server>:<port>" bing-chat-api:1.0
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```
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##
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app_port: 22222
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---
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# Bing-Chat-API
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Chat with Bing like what you do with OpenAI API.
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## Thanks
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- [EdgeGPT](https://github.com/acheong08/EdgeGPT) by [@acheong08](https://github.com/acheong08)
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- [bingo](https://github.com/weaigc/bingo) by [@weaigc](https://github.com/weaigc)
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- [@ninomae](https://github.com/NINOMAE1995)
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## Features
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✅ Implemented:
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- Support all conversation styles in New Bing
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- `precise`, `balanced`, `creative`
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- Enable/Disable search
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- Model names suffixed with `offline` are disabling search
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- `precise-offline`, `balanced-offline`, `creative-offline`
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- Support OpenAI API format
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- Can use api endpoint via official `openai-python` package
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- Support stream response
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- Support system prompt
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- This means you could bring Sydney back!
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- Support infinite-round chat
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- As long as not exceeded the token limit (~32k)
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- Support Docker deployment
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🔨 In progress:
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- [ ] Enhance performance and reduce session create requests
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- [ ] Authentication with API key
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## Run API service
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### Run in Command Line
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**Install dependencies:**
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```bash
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# pipreqs . --force --mode no-pin
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pip install -r requirements.txt
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```
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**Run API:**
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```bash
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python -m apis.chat_api
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```
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## Run via Docker
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**Docker build:**
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```bash
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sudo docker build -t bing-chat-api:1.0 . --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy
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```
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**Docker run:**
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```bash
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# no proxy
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sudo docker run -p 22222:22222 --env http_proxy="http://<server>:<port>" bing-chat-api:1.0
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```
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## API Usage
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### Using `openai-python`
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See: [examples/chat_with_openai.py](https://github.com/Hansimov/bing-chat-api/blob/main/examples/chat_with_openai.py)
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```py
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from openai import OpenAI
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# If runnning this service with proxy, you might need to unset `http(s)_proxy`.
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base_url = "http://localhost:22222"
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api_key = "sk-xxxxx"
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client = OpenAI(base_url=base_url, api_key=api_key)
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response = client.chat.completions.create(
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model="precise",
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messages=[
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{
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"role": "user",
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"content": "search california's weather for me",
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}
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],
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stream=True,
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)
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for chunk in response:
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if chunk.choices[0].delta.content is not None:
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print(chunk.choices[0].delta.content, end="", flush=True)
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elif chunk.choices[0].finish_reason == "stop":
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print()
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else:
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pass
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```
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### Using post requests
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See: [examples/chat_with_post.py](https://github.com/Hansimov/bing-chat-api/blob/main/examples/chat_with_post.py)
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```py
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import ast
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import httpx
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import json
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import re
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# If runnning this service with proxy, you might need to unset `http(s)_proxy`.
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chat_api = "http://localhost:22222"
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api_key = "sk-xxxxx"
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requests_headers = {}
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requests_payload = {
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"model": "precise",
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"messages": [
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{
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"role": "user",
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"content": "search and tell me today's weather of california",
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}
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],
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"stream": True,
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}
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with httpx.stream(
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"POST",
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chat_api + "/chat/completions",
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headers=requests_headers,
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json=requests_payload,
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timeout=httpx.Timeout(connect=20, read=60, write=20, pool=None),
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) as response:
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response_content = ""
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for line in response.iter_lines():
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remove_patterns = [r"^\s*data:\s*", r"^\s*\[DONE\]\s*"]
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for pattern in remove_patterns:
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line = re.sub(pattern, "", line).strip()
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if line:
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try:
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line_data = json.loads(line)
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except Exception as e:
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try:
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line_data = ast.literal_eval(line)
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except:
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print(f"Error: {line}")
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raise e
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delta_data = line_data["choices"][0]["delta"]
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finish_reason = line_data["choices"][0]["finish_reason"]
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if "role" in delta_data:
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role = delta_data["role"]
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if "content" in delta_data:
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delta_content = delta_data["content"]
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response_content += delta_content
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print(delta_content, end="", flush=True)
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if finish_reason == "stop":
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print()
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```
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