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{"name":"Transform Chain","description":"Transform Your Business with Smart Dialogues.","data":{"nodes":[{"width":384,"height":539,"id":"CustomComponent-C8eNm","type":"genericNode","position":{"x":361.2179541318329,"y":14.576073295690833},"data":{"type":"CustomComponent","node":{"template":{"code":{"dynamic":true,"required":true,"placeholder":"","show":true,"multiline":true,"value":"from langflow import CustomComponent\nfrom langflow.field_typing import Chain\nfrom langchain.chains import TransformChain\n\nclass ChainTransformer(CustomComponent):\n display_name = \"Transform Chain\"\n description = \"Converts a python function into a chain.\"\n\n # Modify this as you like, use any argument created in 'build' via 'self'\n def perform_action(self, chat_input):\n result = (chat_input + \" \" + self.foo + \" 👋🌍\").upper()\n return {self.output_key: result}\n\n # Parameters here are turned into class attributes accessible in 'perform_action'\n def build(self, foo: str = \"World\", i |
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{"name":"Transform Chain","description":"Transform Your Business with Smart Dialogues.","data":{"nodes":[{"width":384,"height":539,"id":"CustomComponent-C8eNm","type":"genericNode","position":{"x":361.2179541318329,"y":14.576073295690833},"data":{"type":"CustomComponent","node":{"template":{"code":{"dynamic":true,"required":true,"placeholder":"","show":true,"multiline":true,"value":"from langflow import CustomComponent\nfrom langflow.field_typing import Chain\nfrom langchain.chains import TransformChain\n\nclass ChainTransformer(CustomComponent):\n display_name = \"Transform Chain\"\n description = \"Converts a python function into a chain.\"\n\n # Modify this as you like, use any argument created in 'build' via 'self'\n def perform_action(self, chat_input):\n result = (chat_input + \" \" + self.foo + \" 👋🌍\").upper()\n return {self.output_key: result}\n\n # Parameters here are turned into class attributes accessible in 'perform_action'\n def build(self, foo: str = \"World\", i |
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{"name":"Transform Chain","description":"Transform Your Business with Smart Dialogues.","data":{"nodes":[{"width":384,"height":539,"id":"CustomComponent-C8eNm","type":"genericNode","position":{"x":361.2179541318329,"y":14.576073295690833},"data":{"type":"CustomComponent","node":{"template":{"code":{"dynamic":true,"required":true,"placeholder":"","show":true,"multiline":true,"value":"from langflow import CustomComponent\nfrom langflow.field_typing import Chain\nfrom langchain.chains import TransformChain\n\nclass ChainTransformer(CustomComponent):\n display_name = \"Transform Chain\"\n description = \"Converts a python function into a chain.\"\n\n # Modify this as you like, use any argument created in 'build' via 'self'\n def perform_action(self, chat_input):\n result = (chat_input + \" \" + self.foo + \" 👋🌍\").upper()\n return {self.output_key: result}\n\n # Parameters here are turned into class attributes accessible in 'perform_action'\n def build(self, foo: str = \"World\", i |
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{"name":"Beautiful Soup","description":"Extracts relevant links from a website.","data":{"nodes":[{"width":384,"height":375,"id":"PromptTemplate-lOPq4","type":"genericNode","position":{"x":1550.5915123461584,"y":563.636573923162},"data":{"type":"PromptTemplate","node":{"template":{"output_parser":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"output_parser","advanced":false,"dynamic":false,"info":"","type":"BaseOutputParser","list":false},"input_variables":{"required":true,"placeholder":"","show":false,"multiline":false,"password":false,"name":"input_variables","advanced":false,"dynamic":false,"info":"","type":"str","list":true,"value":["links"]},"partial_variables":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"partial_variables","advanced":false,"dynamic":false,"info":"","type":"code","list":false},"template":{"required":true,"placeholder":"","show":true,"multiline":true,"password":false,"name":"template","advanced":fals |
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{"name":"Micro Tutorials","description":"A flow design to help Rodrigo write his Micro Tutorials.","data":{"nodes":[{"width":384,"height":617,"id":"PromptTemplate-YOQkk","type":"genericNode","position":{"x":871.7719613232982,"y":230.99434139772154},"data":{"type":"PromptTemplate","node":{"template":{"output_parser":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"output_parser","advanced":false,"dynamic":true,"info":"","type":"BaseOutputParser","list":false},"input_variables":{"required":true,"placeholder":"","show":false,"multiline":false,"password":false,"name":"input_variables","advanced":false,"dynamic":true,"info":"","type":"str","list":true,"value":["topic","feature","desc","objective"]},"partial_variables":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"partial_variables","advanced":false,"dynamic":true,"info":"","type":"code","list":false},"template":{"required":true,"placeholder":"","show":true,"multiline":true,"pass |
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{"description":"Web scraper that loads multiple web pages and store results in JSON files.","name":"Batch WebLoader","data":{"nodes":[{"width":384,"height":445,"id":"PromptTemplate-q1G6I","type":"genericNode","position":{"x":1953.2253047109466,"y":185.7369933007888},"data":{"type":"PromptTemplate","node":{"template":{"output_parser":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"output_parser","advanced":false,"dynamic":true,"info":"","type":"BaseOutputParser","list":false},"input_variables":{"required":true,"placeholder":"","show":false,"multiline":false,"password":false,"name":"input_variables","advanced":false,"dynamic":true,"info":"","type":"str","list":true,"value":["webpage","instructions"]},"partial_variables":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"partial_variables","advanced":false,"dynamic":true,"info":"","type":"code","list":false},"template":{"required":true,"placeholder":"","show":true,"multiline":true |
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{"name":"PDF Parser","description":"Extracts and structures information from a PDF document.","data":{"nodes":[{"width":384,"height":379,"id":"PyPDFLoader-FQv3j","type":"genericNode","position":{"x":1441.523034875146,"y":440.9209201349006},"data":{"type":"PyPDFLoader","node":{"template":{"file_path":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"outorga.pdf","suffixes":[".pdf"],"password":false,"name":"file_path","advanced":false,"dynamic":false,"info":"","type":"file","list":false,"fileTypes":["pdf"],"file_path":null},"metadata":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"{}","password":false,"name":"metadata","display_name":"Metadata","advanced":false,"dynamic":false,"info":"","type":"code","list":false},"_type":"PyPDFLoader"},"description":"Loads a PDF with pypdf and chunks at character level.","base_classes":["Document"],"display_name":"PyPDFLoader","custom_fields":{},"output_types":["Document"],"documentation":"https://python.langchain.com/docs/modul |
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{"name":"Enhanced Document Truncator","description":"Custom Component created to truncate the text of a webpage before it's sent to the prompt.","data":{"nodes":[{"width":384,"height":293,"id":"WebBaseLoader-2MUwp","type":"genericNode","position":{"x":20.709404588012603,"y":20.709404588012745},"data":{"type":"WebBaseLoader","node":{"template":{"metadata":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"{}","password":false,"name":"metadata","display_name":"Metadata","advanced":true,"dynamic":false,"info":"","type":"code","list":false},"web_path":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"https://en.wikipedia.org/wiki/J._Robert_Oppenheimer","password":false,"name":"web_path","display_name":"Web Page","advanced":false,"dynamic":false,"info":"","type":"str","list":false},"_type":"WebBaseLoader"},"description":"Loader that uses urllib and beautiful soup to load webpages.","base_classes":["Document"],"display_name":"WebBaseLoader","custom_fields":{},"output_typ |
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{"name":"Multiple Sources","description":"Answering user questions by accessing multiple sources (without vector stores).","data":{"nodes":[{"width":384,"height":445,"id":"PromptTemplate-lz9GR","type":"genericNode","position":{"x":355.91670341731594,"y":-57.03860628800253},"data":{"type":"PromptTemplate","node":{"template":{"output_parser":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"output_parser","advanced":false,"dynamic":false,"info":"","type":"BaseOutputParser","list":false},"input_variables":{"required":true,"placeholder":"","show":false,"multiline":false,"password":false,"name":"input_variables","advanced":false,"dynamic":false,"info":"","type":"str","list":true,"value":["website1","website2","user_input"]},"partial_variables":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"partial_variables","advanced":false,"dynamic":false,"info":"","type":"code","list":false},"template":{"required":true,"placeholder":"","show":t |
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{"description":"Custom Component created to truncate the text of a webpage before it's sent to the prompt.","name":"Truncate Document","data":{"nodes":[{"width":384,"height":293,"id":"WebBaseLoader-2MUwp","type":"genericNode","position":{"x":20.709404588012603,"y":20.709404588012745},"data":{"type":"WebBaseLoader","node":{"template":{"metadata":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"{}","password":false,"name":"metadata","display_name":"Metadata","advanced":true,"dynamic":false,"info":"","type":"code","list":false},"web_path":{"required":true,"placeholder":"","show":true,"multiline":false,"value":"https://en.wikipedia.org/wiki/J._Robert_Oppenheimer","password":false,"name":"web_path","display_name":"Web Page","advanced":false,"dynamic":false,"info":"","type":"str","list":false},"_type":"WebBaseLoader"},"description":"Loader that uses urllib and beautiful soup to load webpages.","base_classes":["Document"],"display_name":"WebBaseLoader","custom_fields":{},"output_types":["Docu |
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