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https://github.com/BoardWare-Genius/jarvis-models.git
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update chat
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@ -28,54 +28,10 @@ class Chat(Blackbox):
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# model_name有 Qwen1.5-14B-Chat , internlm2-chat-20b
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@logging_time(logger=logger)
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def processing(self, model_name, prompt, template, context: list, temperature, top_p, n, max_tokens,stop,frequency_penalty,presence_penalty) -> str:
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if context == None:
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context = []
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# gpt-4, gpt-3.5-turbo
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if re.search(r"gpt", model_name):
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url = 'https://api.openai.com/v1/completions'
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key = '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'
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else:
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url = 'http://120.196.116.194:48892/v1/chat/completions'
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key = 'YOUR_API_KEY'
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prompt_template = [
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{"role": "system", "content": template},
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]
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chat_inputs={
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"model": model_name,
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"messages": prompt_template + context + [
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{
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"role": "user",
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"content": prompt
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}
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],
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"temperature": temperature,
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"top_p": top_p,
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"n": n,
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"max_tokens": max_tokens,
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"frequency_penalty": frequency_penalty,
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"presence_penalty": presence_penalty,
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"stop": stop
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}
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header = {
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'Content-Type': 'application/json',
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'Authorization': "Bearer " + key
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}
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fastchat_response = requests.post(url, json=chat_inputs, headers=header)
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return fastchat_response.json()["choices"][0]["message"]["content"]
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async def fast_api_handler(self, request: Request) -> Response:
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try:
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data = await request.json()
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except:
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return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
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def processing(self, *args, **kwargs) -> str:
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data = args[0]
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user_model_name = data.get("model_name")
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user_context = data.get("context")
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user_question = data.get("question")
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@ -88,6 +44,9 @@ class Chat(Blackbox):
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user_frequency_penalty = data.get("frequency_penalty")
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user_presence_penalty = data.get("presence_penalty")
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if user_context == None:
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user_context = []
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if user_question is None:
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return JSONResponse(content={"error": "question is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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@ -119,5 +78,50 @@ class Chat(Blackbox):
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user_presence_penalty = 0.8
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return JSONResponse(content={"response": self.processing(user_model_name, user_question, user_template, user_context,
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user_temperature, user_top_p, user_n, user_max_tokens,user_stop,user_frequency_penalty,user_presence_penalty)}, status_code=status.HTTP_200_OK)
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# gpt-4, gpt-3.5-turbo
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if re.search(r"gpt", user_model_name):
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url = 'https://api.openai.com/v1/completions'
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key = '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'
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else:
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url = 'http://120.196.116.194:48892/v1/chat/completions'
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key = 'YOUR_API_KEY'
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prompt_template = [
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{"role": "system", "content": user_template},
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]
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chat_inputs={
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"model": user_model_name,
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"messages": prompt_template + user_context + [
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{
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"role": "user",
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"content": user_question
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}
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],
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"temperature": user_temperature,
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"top_p": user_top_p,
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"n": user_n,
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"max_tokens": user_max_tokens,
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"frequency_penalty": user_frequency_penalty,
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"presence_penalty": user_presence_penalty,
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"stop": user_stop
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}
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header = {
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'Content-Type': 'application/json',
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'Authorization': "Bearer " + key
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}
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fastchat_response = requests.post(url, json=chat_inputs, headers=header)
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return fastchat_response.json()["choices"][0]["message"]["content"]
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async def fast_api_handler(self, request: Request) -> Response:
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try:
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data = await request.json()
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except:
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return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
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setting: dict = data.get("settings")
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return JSONResponse(content={"response": self.processing(setting)}, status_code=status.HTTP_200_OK)
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