提示错误信息
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# [step 1]>> 例如: API_KEY = "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" (此key无效)
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API_KEY = "sk-此处填API密钥"
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API_KEY = "sk-此处填API密钥" # 可同时填写多个API-KEY,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey1,fkxxxx-api2dkey2"
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# [step 2]>> 改为True应用代理,如果直接在海外服务器部署,此处不修改
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USE_PROXY = False
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@ -130,13 +130,18 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数(如果有的话)
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inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
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if stream:
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raw_input = inputs
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logging.info(f'[raw_input] {raw_input}')
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chatbot.append((inputs, ""))
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yield from update_ui(chatbot=chatbot, history=history, msg="等待响应") # 刷新界面
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raw_input = inputs
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logging.info(f'[raw_input] {raw_input}')
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chatbot.append((inputs, ""))
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yield from update_ui(chatbot=chatbot, history=history, msg="等待响应") # 刷新界面
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headers, payload = generate_payload(inputs, llm_kwargs, history, system_prompt, stream)
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try:
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headers, payload = generate_payload(inputs, llm_kwargs, history, system_prompt, stream)
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except RuntimeError as e:
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chatbot[-1] = (inputs, f"您提供的api-key不满足要求,不包含任何可用于{llm_kwargs['llm_model']}的api-key。")
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yield from update_ui(chatbot=chatbot, history=history, msg="api-key不满足要求") # 刷新界面
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return
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history.append(inputs); history.append(" ")
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retry = 0
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