肥牛API使用指南

这里主要讲解如何单独使用肥牛api的方式

需要肥牛API KEY 也就是需要你去顶部栏里面的 肥牛API密钥获取 API KEY

bert调用方式

# python

import requests

API_KEY = "sk-your-api-key-here"  # 替换成你的肥牛API Key
GATEWAY_URL = "http://ominifn.natapp1.cc"

# 调用BERT
response = requests.post(
    f"{GATEWAY_URL}/api/v1/bert/classify",
    headers={"X-API-Key": API_KEY},
    json={"text": "你看看我的屏幕"}
)

print(response.json())

TTS调用方式

# python

import requests

API_KEY = "sk-your-api-key-here"
GATEWAY_URL = "http://ominifn.natapp1.cc"

# 正确方式：GET请求 + 参数
response = requests.get(
    f"{GATEWAY_URL}/api/v1/tts/synthesize",
    headers={"X-API-Key": API_KEY},
    params={
        "text": "你好,这是要合成的文字。",
        "text_language": "zh",  # 中文
        # 可选参数:
        # "text_split_method": "cut5",
        # "batch_size": 1,
        # "speed_factor": 1.0,
        # "top_k": 5,
        # "top_p": 1,
        # "temperature": 1
    }
)

# 保存音频
with open("output.wav", "wb") as f:
    f.write(response.content)
print("音频已保存!")

ASR调用方式

# python

import requests

API_KEY = "sk-your-api-key-here"
GATEWAY_URL = "http://ominifn.natapp1.cc"

# 上传音频文件识别
with open("audio.wav", "rb") as f:
    response = requests.post(
        f"{GATEWAY_URL}/api/v1/asr/upload_audio",
        headers={"X-API-Key": API_KEY},
        files={"file": f}
    )

print(response.json())

实时识别

#python

import websockets
import asyncio

API_KEY = "sk-your-api-key-here"

async def asr_realtime():
    uri = f"ws://ominifn.natapp1.cc/api/v1/asr/vad/ws?X-API-Key={API_KEY}"

    async with websockets.connect(uri) as ws:
        # 发送音频数据
        with open("audio.wav", "rb") as f:
            audio_data = f.read()
            await ws.send(audio_data)

        # 接收识别结果
        result = await ws.recv()
        print(result)

asyncio.run(asr_realtime())

RAG调用方式

# python

import requests

API_KEY = "sk-your-api-key-here"
GATEWAY_URL = "http://ominifn.natapp1.cc"

# 1. 文本编码
response = requests.post(
    f"{GATEWAY_URL}/api/v1/rag/encode",
    headers={"X-API-Key": API_KEY},
    json={"text": "要编码的文本"}
)
print(response.json())

# 2. 相似度计算
response = requests.post(
    f"{GATEWAY_URL}/api/v1/rag/similarity",
    headers={"X-API-Key": API_KEY},
    json={
        "text1": "第一段文本",
        "text2": "第二段文本"
    }
)
print(response.json())

# 3. RAG问答 (最常用)
response = requests.post(
    f"{GATEWAY_URL}/api/v1/rag/ask",
    headers={"X-API-Key": API_KEY},
    json={"question": "你的问题"}
)
print(response.json())

# 4. 健康检查
response = requests.get(
    f"{GATEWAY_URL}/api/v1/rag/health",
    headers={"X-API-Key": API_KEY}
)
print(response.json())