合并master修改
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@ -21,7 +21,7 @@ import importlib
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# config_private.py放自己的秘密如API和代理网址
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# 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
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from toolbox import get_conf, update_ui, is_any_api_key, select_api_key
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from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys
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proxies, API_KEY, TIMEOUT_SECONDS, MAX_RETRY = \
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get_conf('proxies', 'API_KEY', 'TIMEOUT_SECONDS', 'MAX_RETRY')
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@ -118,7 +118,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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"""
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if is_any_api_key(inputs):
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chatbot._cookies['api_key'] = inputs
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chatbot.append(("输入已识别为openai的api_key", "api_key已导入"))
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chatbot.append(("输入已识别为openai的api_key", what_keys(inputs)))
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yield from update_ui(chatbot=chatbot, history=history, msg="api_key已导入") # 刷新界面
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return
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elif not is_any_api_key(chatbot._cookies['api_key']):
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@ -141,7 +141,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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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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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。您可能选择了错误的模型或请求源。")
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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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