almeida-guilherme
commented
3 months ago
Ao tentar importar o arquivo json do primeiro desafio, obtive esse erro. Tentei tanto no firefox quanto no chrome
Closed almeida-guilherme closed 3 months ago
almeida-guilherme
commented
3 months ago
Ao tentar importar o arquivo json do primeiro desafio, obtive esse erro. Tentei tanto no firefox quanto no chrome
dosubot[bot]
commented
3 months ago Olá @almeida-guilherme! Eu sou Dosu, um bot aqui para te ajudar a resolver bugs, responder perguntas e se tornar um colaborador. 😊
Para resolver o problema ao importar o arquivo .json no primeiro desafio de Prompt Engineering, siga estas etapas:
{
"data": {
"edges": [
{
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-pxptT",
"name": "message",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-1S5SU",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-pxptT{œdataTypeœ:œChatInputœ,œidœ:œChatInput-pxptTœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-1S5SU{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-1S5SUœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-pxptT",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-pxptTœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-1S5SU",
"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-1S5SUœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-1S5SU",
"name": "prompt",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-nJXWj",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-1S5SU{œdataTypeœ:œPromptœ,œidœ:œPrompt-1S5SUœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-nJXWj{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-nJXWjœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-1S5SU",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-1S5SUœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-nJXWj",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-nJXWjœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-nJXWj",
"name": "text_output",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-XP4bj",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-nJXWj{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-nJXWjœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-XP4bj{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-XP4bjœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-nJXWj",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-nJXWjœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-XP4bj",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-XP4bjœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
}
],
"nodes": [
{
"data": {
"id": "ChatInput-pxptT",
"node": {
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"documentation": "",
"edited": false,
"field_order": [
"input_value",
"sender",
"sender_name",
"session_id",
"files"
],
"frozen": false,
"icon": "ChatInput",
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Message",
"hidden": false,
"method": "message_response",
"name": "message",
"selected": "Message",
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
"fileTypes": [],
"file_path": "",
"info": "",
"list": false,
"load_from_db": false,
"multiline": true,
"name": "code",
"password": false,
"placeholder": "",
"required": true,
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\nself.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
},
"files": {
"advanced": true,
"display_name": "Files",
"dynamic": false,
"fileTypes": [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
"docx",
"py",
"sh",
"sql",
"js",
"ts",
"tsx",
"jpg",
"jpeg",
"png",
"bmp",
"image"
],
"file_path": "",
"info": "Files to be sent with the message.",
"list": true,
"name": "files",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "file",
"value": ""
},
"input_value": {
"advanced": false,
"display_name": "Text",
"dynamic": false,
"info": "Message to be passed as input.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "input_value",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"sender": {
"advanced": true,
"display_name": "Sender Type",
"dynamic": false,
"info": "Type of sender.",
"name": "sender",
"options": [
"Machine",
"User"
],
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "str",
"value": "User"
},
"sender_name": {
"advanced": true,
"display_name": "Sender Name",
"dynamic": false,
"info": "Name of the sender.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "sender_name",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "User"
},
"session_id": {
"advanced": true,
"display_name": "Session ID",
"dynamic": false,
"info": "Session ID for the message.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "session_id",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": ""
}
}
},
"type": "ChatInput"
},
"dragging": false,
"height": 308,
"id": "ChatInput-pxptT",
"position": {
"x": -493.6459512396177,
"y": 1083.200545525551
},
"positionAbsolute": {
"x": -493.6459512396177,
"y": 1083.200545525551
},
"selected": false,
"type": "genericNode",
"width": 384
},
{
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-1S5SU",
"node": {
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {
"template": [
"user_input"
]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"documentation": "",
"edited": false,
"error": null,
"field_order": [
"template"
],
"frozen": false,
"full_path": null,
"icon": "prompts",
"is_composition": null,
"is_input": null,
"is_output": null,
"name": "",
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Prompt Message",
"hidden": false,
"method": "build_prompt",
"name": "prompt",
"selected": "Message",
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
"fileTypes": [],
"file_path": "",
"info": "",
"list": false,
"load_from_db": false,
"multiline": true,
"name": "code",
"password": false,
"placeholder": "",
"required": true,
"show": true,
"title_case": false,
"type": "code",
"value": "Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: "
},
"user_input": {
"advanced": false,
"display_name": "user_input",
"dynamic": false,
"field_type": "str",
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Message",
"Text"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "user_input",
"password": false,
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"type": "str",
"value": ""
}
}
},
"type": "Prompt"
},
"dragging": false,
"height": 422,
"id": "Prompt-1S5SU",
"position": {
"x": 56.354011530798516,
"y": 1157.2005405164796
},
"positionAbsolute": {
"x": 56.354011530798516,
"y": 1157.2005405164796
},
"selected": false,
"type": "genericNode",
"width": 384
},
{
"data": {
"id": "OpenAIModel-nJXWj",
"node": {
"base_classes": [
"LanguageModel",
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "OpenAI's GPT-3 model.",
"display_name": "OpenAI Model",
"documentation": "",
"edited": false,
"error": null,
"field_order": [
"input_value",
"model",
"temperature",
"max_tokens",
"top_p",
"frequency_penalty",
"presence_penalty",
"stop"
],
"frozen": false,
"icon": "openai",
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Text Output",
"hidden": false,
"method": "generate_text",
"name": "text_output",
"selected": "Message",
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
"fileTypes": [],
"file_path": "",
"info": "",
"list": false,
"load_from_db": false,
"multiline": true,
"name": "code",
"password": false,
"placeholder": "",
"required": true,
"show": true,
"title_case": false,
"type": "code",
"value": "import openai\n\nclass OpenAIModel:\n def __init__(self, api_key):\n self.api_key = api_key\n\n def generate_text(self, prompt, model=\"text-davinci-003\", temperature=0.7, max_tokens=150, top_p=1.0, frequency_penalty=0.0, presence_penalty=0.0, stop=None):\n openai.api_key = self.api_key\n response = openai.Completion.create(\n model=model,\n prompt=prompt,\n temperature=temperature,\n max_tokens=max_tokens,\n top_p=top_p,\n frequency_penalty=frequency_penalty,\n presence_penalty=presence_penalty,\n stop=stop\n )\n return response.choices[0].text.strip()\n"
},
"input_value": {
"advanced": false,
"display_name": "Input Value",
"dynamic": false,
"info": "Prompt to be sent to the model.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "input_value",
"placeholder": "",
"required": true,
"show": true,
"title_case": false,
"trace_as_input
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solubien
commented
3 months ago AEpsrBblwSb6QZR0G6K463slRo.json tb tive o mesmo erro
massilva
commented
3 months ago Eu também estou com esse error.
deulaag
commented
3 months ago a instalação do langflow de vocês estão correta?
almeida-guilherme
commented
3 months ago Instalação pelo pip: python -m pip install langflow -U Executar langflow localmente: python -m langflow run Para mais informações, segue a documentação:https://docs.langflow.org/getting-started/install-langflow Espero que isso também te ajude, @massilva, como também me ajudou!
carlosrcoelho
commented
3 months ago Obrigado pela sua contribuição! Esta issue será fechada. Se você tiver qualquer dúvida ou encontrar outro problema, por favor, abra uma nova issue e estaremos prontos para ajudar.