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fix: update starter projects #2665

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Jul 12, 2024
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fix: update starter projects #2665

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104 changes: 68 additions & 36 deletions src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json
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Original file line number Diff line number Diff line change
Expand Up @@ -6,87 +6,87 @@
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"name": "message",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-GBI4i{œdataTypeœ:œChatInputœ,œidœ:œChatInput-GBI4iœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-vrft7{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-vrft7œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-GBI4i",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-GBI4iœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-vrft7",
"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-vrft7œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ChatInput-jbtaD{œdataTypeœ:œChatInputœ,œidœ:œChatInput-jbtaDœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-0SBd6{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-0SBd6œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-jbtaD",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-jbtaDœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-0SBd6",
"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-0SBd6œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"name": "prompt",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-vrft7{œdataTypeœ:œPromptœ,œidœ:œPrompt-vrft7œ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-Y1Uvp{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Y1Uvpœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-vrft7",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-vrft7œ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-Y1Uvp",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-Y1Uvpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Prompt-0SBd6{œdataTypeœ:œPromptœ,œidœ:œPrompt-0SBd6œ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-HBuxy{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-HBuxyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-0SBd6",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-0SBd6œ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-HBuxy",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-HBuxyœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"name": "text_output",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-Y1Uvp{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Y1Uvpœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-QRfK5{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-QRfK5œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-Y1Uvp",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-Y1Uvpœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-QRfK5",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-QRfK5œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-OpenAIModel-HBuxy{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-HBuxyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-WG5tg{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-WG5tgœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-HBuxy",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-HBuxyœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-WG5tg",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-WG5tgœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
}
],
"nodes": [
{
"data": {
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"node": {
"base_classes": [
"Message"
Expand All @@ -100,6 +100,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
Expand Down Expand Up @@ -140,7 +141,7 @@
"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 name = \"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):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\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 name = \"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 BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\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\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"files": {
"advanced": true,
Expand Down Expand Up @@ -261,14 +262,29 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
"type": "ChatInput"
},
"dragging": false,
"height": 309,
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"position": {
"x": -493.6459512396177,
"y": 1083.200545525551
Expand All @@ -285,7 +301,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"node": {
"base_classes": [
"Message"
Expand Down Expand Up @@ -387,7 +403,7 @@
},
"dragging": false,
"height": 423,
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"position": {
"x": 56.354011530798516,
"y": 1157.2005405164796
Expand All @@ -404,7 +420,7 @@
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"node": {
"base_classes": [
"Message"
Expand All @@ -418,6 +434,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
Expand Down Expand Up @@ -458,7 +475,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\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 )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\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 )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"data_template": {
"advanced": true,
Expand Down Expand Up @@ -557,14 +574,29 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
"type": "ChatOutput"
},
"dragging": false,
"height": 309,
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"position": {
"x": 1219.477374823274,
"y": 1200.950216973985
Expand All @@ -581,7 +613,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"node": {
"base_classes": [
"LanguageModel",
Expand Down Expand Up @@ -857,7 +889,7 @@
},
"dragging": false,
"height": 623,
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"position": {
"x": 664.0296638933031,
"y": 1026.5966174731725
Expand All @@ -872,15 +904,15 @@
}
],
"viewport": {
"x": 283.5782991180689,
"y": -288.9547032063149,
"zoom": 0.43809300423581504
"x": 427.12410642709614,
"y": -361.39815091467085,
"zoom": 0.5562299357713679
}
},
"description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
"endpoint_name": null,
"id": "f672da95-a7e3-41d2-942d-7ceabe1c0daa",
"id": "b0e19aab-2095-41ee-b91c-1168790cc68b",
"is_component": false,
"last_tested_version": "1.0.7",
"last_tested_version": "1.0.9",
"name": "Basic Prompting (Hello, World)"
}
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