202 lines
7.0 KiB
Python
202 lines
7.0 KiB
Python
# 借鉴了 https://github.com/GaiZhenbiao/ChuanhuChatGPT 项目
|
||
|
||
import json
|
||
import gradio as gr
|
||
import logging
|
||
import traceback
|
||
import requests
|
||
import importlib
|
||
|
||
# config_private.py放自己的秘密如API和代理网址
|
||
# 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
|
||
try: from config_private import proxies, API_URL, API_KEY, TIMEOUT_SECONDS
|
||
except: from config import proxies, API_URL, API_KEY, TIMEOUT_SECONDS
|
||
|
||
timeout_bot_msg = 'Request timeout, network error. please check proxy settings in config.py.'
|
||
|
||
def get_full_error(chunk, stream_response):
|
||
while True:
|
||
try:
|
||
chunk += next(stream_response)
|
||
except:
|
||
break
|
||
return chunk
|
||
|
||
def predict_no_ui(inputs, top_p, temperature, history=[]):
|
||
messages = [{"role": "system", "content": ""}]
|
||
|
||
#
|
||
chat_counter = len(history) // 2
|
||
if chat_counter > 0:
|
||
for index in range(0, 2*chat_counter, 2):
|
||
what_i_have_asked = {}
|
||
what_i_have_asked["role"] = "user"
|
||
what_i_have_asked["content"] = history[index]
|
||
what_gpt_answer = {}
|
||
what_gpt_answer["role"] = "assistant"
|
||
what_gpt_answer["content"] = history[index+1]
|
||
if what_i_have_asked["content"] != "":
|
||
messages.append(what_i_have_asked)
|
||
messages.append(what_gpt_answer)
|
||
else:
|
||
messages[-1]['content'] = what_gpt_answer['content']
|
||
|
||
what_i_ask_now = {}
|
||
what_i_ask_now["role"] = "user"
|
||
what_i_ask_now["content"] = inputs
|
||
messages.append(what_i_ask_now)
|
||
|
||
# messages
|
||
payload = {
|
||
"model": "gpt-3.5-turbo",
|
||
# "model": "gpt-4",
|
||
"messages": messages,
|
||
"temperature": temperature, # 1.0,
|
||
"top_p": top_p, # 1.0,
|
||
"n": 1,
|
||
"stream": False,
|
||
"presence_penalty": 0,
|
||
"frequency_penalty": 0,
|
||
}
|
||
|
||
headers = {
|
||
"Content-Type": "application/json",
|
||
"Authorization": f"Bearer {API_KEY}"
|
||
}
|
||
try:
|
||
# make a POST request to the API endpoint using the requests.post method, passing in stream=True
|
||
response = requests.post(API_URL, headers=headers, proxies=proxies,
|
||
json=payload, stream=True, timeout=TIMEOUT_SECONDS*2)
|
||
except Exception as e:
|
||
traceback.print_exc()
|
||
raise TimeoutError
|
||
|
||
try:
|
||
result = json.loads(response.text)["choices"][0]["message"]["content"]
|
||
return result
|
||
except Exception as e:
|
||
if "choices" not in response.text: print(response.text)
|
||
raise ConnectionAbortedError("Json解析不合常规，可能是文本过长" + response.text)
|
||
|
||
|
||
|
||
|
||
def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt='', retry=False,
|
||
stream = True, additional_fn=None):
|
||
|
||
if additional_fn is not None:
|
||
import functional
|
||
importlib.reload(functional)
|
||
functional = functional.get_functionals()
|
||
inputs = functional[additional_fn]["Prefix"] + inputs + functional[additional_fn]["Suffix"]
|
||
|
||
if stream:
|
||
raw_input = inputs
|
||
logging.info(f'[raw_input] {raw_input}')
|
||
chatbot.append((inputs, ""))
|
||
yield chatbot, history, "等待响应"
|
||
|
||
headers = {
|
||
"Content-Type": "application/json",
|
||
"Authorization": f"Bearer {API_KEY}"
|
||
}
|
||
|
||
chat_counter = len(history) // 2
|
||
|
||
print(f"chat_counter - {chat_counter}")
|
||
|
||
messages = [{"role": "system", "content": system_prompt}]
|
||
if chat_counter:
|
||
for index in range(0, 2*chat_counter, 2):
|
||
what_i_have_asked = {}
|
||
what_i_have_asked["role"] = "user"
|
||
what_i_have_asked["content"] = history[index]
|
||
what_gpt_answer = {}
|
||
what_gpt_answer["role"] = "assistant"
|
||
what_gpt_answer["content"] = history[index+1]
|
||
if what_i_have_asked["content"] != "":
|
||
if not (what_gpt_answer["content"] != "" or retry): continue
|
||
if what_gpt_answer["content"] == timeout_bot_msg: continue
|
||
messages.append(what_i_have_asked)
|
||
messages.append(what_gpt_answer)
|
||
else:
|
||
messages[-1]['content'] = what_gpt_answer['content']
|
||
|
||
if retry and chat_counter:
|
||
messages.pop()
|
||
else:
|
||
what_i_ask_now = {}
|
||
what_i_ask_now["role"] = "user"
|
||
what_i_ask_now["content"] = inputs
|
||
messages.append(what_i_ask_now)
|
||
chat_counter += 1
|
||
|
||
# messages
|
||
payload = {
|
||
"model": "gpt-3.5-turbo",
|
||
# "model": "gpt-4",
|
||
"messages": messages,
|
||
"temperature": temperature, # 1.0,
|
||
"top_p": top_p, # 1.0,
|
||
"n": 1,
|
||
"stream": stream,
|
||
"presence_penalty": 0,
|
||
"frequency_penalty": 0,
|
||
}
|
||
|
||
history.append(inputs)
|
||
|
||
try:
|
||
# make a POST request to the API endpoint using the requests.post method, passing in stream=True
|
||
response = requests.post(API_URL, headers=headers, proxies=proxies,
|
||
json=payload, stream=True, timeout=TIMEOUT_SECONDS)
|
||
except:
|
||
chatbot[-1] = ((chatbot[-1][0], timeout_bot_msg))
|
||
yield chatbot, history, "请求超时"
|
||
raise TimeoutError
|
||
|
||
token_counter = 0
|
||
partial_words = ""
|
||
|
||
counter = 0
|
||
if stream:
|
||
stream_response = response.iter_lines()
|
||
while True:
|
||
chunk = next(stream_response)
|
||
if chunk == b'data: [DONE]':
|
||
break
|
||
|
||
if counter == 0:
|
||
counter += 1
|
||
continue
|
||
counter += 1
|
||
# check whether each line is non-empty
|
||
if chunk:
|
||
# decode each line as response data is in bytes
|
||
try:
|
||
if len(json.loads(chunk.decode()[6:])['choices'][0]["delta"]) == 0:
|
||
logging.info(f'[response] {chatbot[-1][-1]}')
|
||
break
|
||
chunkjson = json.loads(chunk.decode()[6:])
|
||
status_text = f"finish_reason: {chunkjson['choices'][0]['finish_reason']}"
|
||
partial_words = partial_words + json.loads(chunk.decode()[6:])['choices'][0]["delta"]["content"]
|
||
if token_counter == 0:
|
||
history.append(" " + partial_words)
|
||
else:
|
||
history[-1] = partial_words
|
||
chatbot[-1] = (history[-2], history[-1])
|
||
token_counter += 1
|
||
yield chatbot, history, status_text
|
||
|
||
except Exception as e:
|
||
traceback.print_exc()
|
||
yield chatbot, history, "Json解析不合常规，很可能是文本过长"
|
||
chunk = get_full_error(chunk, stream_response)
|
||
error_msg = chunk.decode()
|
||
if "reduce the length" in error_msg:
|
||
chatbot[-1] = (history[-1], "老铁，输入的文本太长了")
|
||
yield chatbot, history, "Json解析不合常规，很可能是文本过长" + error_msg
|
||
return
|
||
|
||
|