gpt平替
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

196 lines
5.4 KiB

#coding:utf-8
# 这是一个示例 Python 脚本。
# 按 Shift+F10 执行或将其替换为您的代码。
# 按 双击 Shift 在所有地方搜索类、文件、工具窗口、操作和设置。
# def request_api_chatgpt(api_key, prompt):
# print(api_key)
# print(prompt)
# OPENAI_API_KEY = api_key
# url = "https://api.openai.com/v1/chat/completions"
# # url = "https://one.aiskt.com"
# headers = {
# "Content-Type": "application/json",
# "Authorization": f"Bearer {OPENAI_API_KEY}"
# }
# data = {
# "model": "gpt-4-turbo-preview",
# "messages": [
# {"role": "user", "content": "你好"},
# {"role": "assistant", "content": "你好!有什么我可以帮助你的吗?"},
# # {"role": "user", "content": prompt}
# {"role": "user", "content": "一张信用卡为多个gpt4账号付费会风控吗"}
# ],
# "top_p": 0.9,
# "temperature": 0.95
# }
# response = requests.post(url,
# headers=headers,
# data=json.dumps(data),
# timeout=1200)
#
# return response
from flask import Flask, jsonify
from flask import request
import requests
import time
import socket
import re
app = Flask(__name__)
app.config["JSON_AS_ASCII"] = False
def get_host_ip():
"""
查询本机ip地址
:return: ip
"""
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(('8.8.8.8', 80))
ip = s.getsockname()[0]
finally:
s.close()
return ip
chatgpt_url_predict = "http://{}:12000/predict".format(str(get_host_ip()))
chatgpt_url_search = "http://{}:12000/search".format(str(get_host_ip()))
def request_api_chatgpt(content, model, top_p, temperature):
data = {
"content": content,
"model": model,
"top_p": top_p,
"temperature": temperature
}
response = requests.post(
chatgpt_url_predict,
json=data,
timeout=100000
)
if response.status_code == 200:
return response.json()
else:
# logger.error(
# "【{}】 Failed to get a proper response from remote "
# "server. Status Code: {}. Response: {}"
# "".format(url, response.status_code, response.text)
# )
print("Failed to get a proper response from remote "
"server. Status Code: {}. Response: {}"
"".format(response.status_code, response.text))
return {}
def uuid_search(uuid):
data = {
"id": uuid
}
response = requests.post(
chatgpt_url_search,
json=data,
timeout=100000
)
if response.status_code == 200:
return response.json()
else:
# logger.error(
# "【{}】 Failed to get a proper response from remote "
# "server. Status Code: {}. Response: {}"
# "".format(url, response.status_code, response.text)
# )
print("Failed to get a proper response from remote "
"server. Status Code: {}. Response: {}"
"".format(response.status_code, response.text))
return {}
def uuid_search_mp(results):
results_list = [""] * len(results)
while True:
tiaochu_bool = True
for i in results_list:
if i == "":
tiaochu_bool = False
break
if tiaochu_bool == True:
break
for i in range(len(results)):
uuid = results[i]["texts"]["id"]
result = uuid_search(uuid)
if result["code"] == 200:
results_list[i] = result["text"]
time.sleep(3)
return results_list
@app.route("/predict", methods=["POST"])
def handle_query():
print(request.remote_addr)
model = request.json.get("model")
messages = request.json.get("messages")
top_p = request.json.get("top_p")
temperature = request.json.get("temperature")
# "messages": [
# {"role": "user", "content": "你好"},
# {"role": "assistant", "content": "你好!有什么我可以帮助你的吗?"},
# # {"role": "user", "content": prompt}
# {"role": "user", "content": "一张信用卡为多个gpt4账号付费会风控吗"}
# ],
content = "<|role|>user<|says|>{}<|end|>\n<|role|>assistant<|says|>".format(messages[-1]["content"])
print(model)
print(messages)
print(top_p)
print(temperature)
uid = request_api_chatgpt(content, model, top_p, temperature)
# {
# "probabilities": null,
# "status_code": 200,
# "texts": {
# "id": "29379d06-d08b-11ee-b56d-31fe0a8adccc"
# }
# }
results = uuid_search_mp([uid])[0]
return_text = {
'code': 200,
'id': uid["texts"]["id"],
'object': 0,
'created': 0,
'model': 0,
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': results
},
'logprobs': None,
'finish_reason': 'stop'
}
],
'usage': 0,
'system_fingerprint': 0
}
return jsonify(return_text)
if __name__ == '__main__':
app.run(host="0.0.0.0", port=12005, threaded=True, debug=False)