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fix modal returning to input

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This commit is contained in:
anovazzi1 2024-04-01 19:00:21 -03:00
commit 7d72254ac8
2 changed files with 1114 additions and 1111 deletions
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6
src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
View file

@ -22,7 +22,7 @@
"list": false, "list": false,
"show": true, "show": true,
"multiline": true, "multiline": true,
"value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"terminal-square\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n", "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
@ -110,7 +110,7 @@
} }
}, },
"description": "Create a prompt template with dynamic variables.", "description": "Create a prompt template with dynamic variables.",
"icon": "terminal-square", "icon": "prompts",
"is_input": null, "is_input": null,
"is_output": null, "is_output": null,
"is_composition": null, "is_composition": null,
@ -1126,7 +1126,7 @@
"y": 143.9251365088694, "y": 143.9251365088694,
"zoom": 0.5282102678500032 "zoom": 0.5282102678500032
} }
}, },
"description": "Use a language model to generate text based on a prompt. \n\nIn this project, you'll be able to generate text based on a request and some topics.\n\nThe Topic 1 and Topic 2 components are actually Text Input, while the Prompt Output component is a Text Output. Changing the name of the component makes them easier to identify when interacting with them.", "description": "Use a language model to generate text based on a prompt. \n\nIn this project, you'll be able to generate text based on a request and some topics.\n\nThe Topic 1 and Topic 2 components are actually Text Input, while the Prompt Output component is a Text Output. Changing the name of the component makes them easier to identify when interacting with them.",
"name": "Basic Prompting", "name": "Basic Prompting",
"last_tested_version": "1.0.0a0", "last_tested_version": "1.0.0a0",

7
src/frontend/src/modals/IOModal/index.tsx
View file

@ -116,10 +116,13 @@ export default function IOModal({
} }
useEffect(() => { useEffect(() => {
setSelectedViewField(startView()); if(selectedTab!==2) setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0);
setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0);
}, [allNodes]); }, [allNodes]);
useEffect(() => {
setSelectedViewField(startView());
},[open])
return ( return (
<BaseModal <BaseModal
size={selectedTab === 0 ? "large-thin" : "large"} size={selectedTab === 0 ? "large-thin" : "large"}