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https://github.com/BoardWare-Genius/jarvis-models.git
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@ -24,7 +24,7 @@ class Chat(Blackbox):
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return isinstance(data, list)
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return isinstance(data, list)
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# model_name有 Qwen1.5-14B-Chat , internlm2-chat-20b
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# model_name有 Qwen1.5-14B-Chat , internlm2-chat-20b
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@logging_time()
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#@logging_time()
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def processing(self, prompt: str, context: list, settings: dict) -> str:
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def processing(self, prompt: str, context: list, settings: dict) -> str:
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if settings is None:
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if settings is None:
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@ -121,11 +121,17 @@ class Chat(Blackbox):
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url = 'https://api.openai.com/v1/completions'
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url = 'https://api.openai.com/v1/completions'
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# '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'
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# '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'
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key = user_model_key
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key = user_model_key
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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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# 自定义model
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# 自定义model
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else:
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else:
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url = user_model_url
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url = user_model_url
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key = user_model_key
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key = user_model_key
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header = {
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'Content-Type': 'application/json',
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}
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prompt_template = [
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prompt_template = [
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@ -149,11 +155,6 @@ class Chat(Blackbox):
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"stop": str(user_stop)
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"stop": str(user_stop)
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}
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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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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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return fastchat_response.json()["choices"][0]["message"]["content"]
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