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Indic_Language_Translation.json
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Indic_Language_Translation.json
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{
"id": "b45ab6f8-0816-4e15-bae6-881c76a5c569",
"data": {
"nodes": [
{
"width": 384,
"height": 470,
"id": "PromptTemplate-NBiBO",
"type": "genericNode",
"position": {
"x": 205.66380483112482,
"y": 1040.1365474246986
},
"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_types": {
"required": false,
"placeholder": "",
"show": false,
"multiline": false,
"password": false,
"name": "input_types",
"advanced": false,
"dynamic": true,
"info": "",
"type": "dict",
"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": [
"text",
"language"
]
},
"partial_variables": {
"required": false,
"placeholder": "",
"show": false,
"multiline": false,
"password": false,
"name": "partial_variables",
"advanced": false,
"dynamic": true,
"info": "",
"type": "dict",
"list": false
},
"template": {
"required": true,
"placeholder": "",
"show": true,
"multiline": true,
"password": false,
"name": "template",
"advanced": false,
"dynamic": true,
"info": "",
"type": "prompt",
"list": false,
"value": "Translate the given TEXT into the given LANGUAGE. You are only Indic language translator, you only support Hindi, Kannada, Telugu, Tamil, Punjabi and Gujrati LANGUAGE. If they LANGUAGE is not among languages, give a feedback to a user saying LANGUAGE not supported. \n\nTEXT: {text}\nLANGUAGE: {language}"
},
"template_format": {
"required": false,
"placeholder": "",
"show": false,
"multiline": false,
"value": "f-string",
"password": false,
"name": "template_format",
"advanced": false,
"dynamic": true,
"info": "",
"type": "str",
"list": false
},
"validate_template": {
"required": false,
"placeholder": "",
"show": false,
"multiline": false,
"value": false,
"password": false,
"name": "validate_template",
"advanced": false,
"dynamic": true,
"info": "",
"type": "bool",
"list": false
},
"_type": "PromptTemplate",
"text": {
"required": false,
"placeholder": "",
"show": true,
"multiline": true,
"value": "",
"password": false,
"name": "text",
"display_name": "text",
"advanced": false,
"input_types": [
"Document",
"BaseOutputParser",
"Input"
],
"dynamic": false,
"info": "",
"type": "str",
"list": false
},
"language": {
"required": false,
"placeholder": "",
"show": true,
"multiline": true,
"value": "",
"password": false,
"name": "language",
"display_name": "language",
"advanced": false,
"input_types": [
"Document",
"BaseOutputParser",
"Input"
],
"dynamic": false,
"info": "",
"type": "str",
"list": false
}
},
"description": "A prompt template for a language model.",
"base_classes": [
"BasePromptTemplate",
"StringPromptTemplate",
"PromptTemplate"
],
"name": "",
"display_name": "PromptTemplate",
"documentation": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/",
"custom_fields": {
"": [
"text",
"language"
],
"template": [
"text",
"lang"
]
},
"output_types": [],
"field_formatters": {},
"beta": false,
"error": null
},
"id": "PromptTemplate-NBiBO"
},
"positionAbsolute": {
"x": 205.66380483112482,
"y": 1040.1365474246986
},
"selected": false,
"dragging": false
},
{
"width": 384,
"height": 339,
"id": "LLMChain-owwbr",
"type": "genericNode",
"position": {
"x": 935.6327267229701,
"y": 805.7504241146173
},
"data": {
"type": "LLMChain",
"node": {
"template": {
"code": {
"dynamic": true,
"required": true,
"placeholder": "",
"show": false,
"multiline": true,
"value": "from genflow import CustomComponent\nfrom langchain.chains import LLMChain\nfrom typing import Optional, Union, Callable\nfrom genflow.field_typing import (\n BasePromptTemplate,\n BaseLanguageModel,\n BaseMemory,\n Chain,\n)\n\n\nclass LLMChainComponent(CustomComponent):\n display_name = \"LLMChain\"\n description = \"Chain to run queries against LLMs\"\n\n def build_config(self):\n return {\n \"prompt\": {\"display_name\": \"Prompt\"},\n \"llm\": {\"display_name\": \"LLM\"},\n \"memory\": {\"display_name\": \"Memory\"},\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n prompt: BasePromptTemplate,\n llm: BaseLanguageModel,\n memory: Optional[BaseMemory] = None,\n ) -> Chain:\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\n",
"password": false,
"name": "code",
"advanced": false,
"type": "code",
"list": false
},
"_type": "CustomComponent",
"llm": {
"required": true,
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"show": true,
"multiline": false,
"password": false,
"name": "llm",
"display_name": "LLM",
"advanced": false,
"dynamic": false,
"info": "",
"type": "BaseLanguageModel",
"list": false
},
"memory": {
"required": false,
"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "memory",
"display_name": "Memory",
"advanced": false,
"dynamic": false,
"info": "",
"type": "BaseMemory",
"list": false
},
"prompt": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "prompt",
"display_name": "Prompt",
"advanced": false,
"dynamic": false,
"info": "",
"type": "BasePromptTemplate",
"list": false
}
},
"description": "Chain to run queries against LLMs",
"base_classes": [
"Chain"
],
"display_name": "LLMChain",
"custom_fields": {
"llm": null,
"memory": null,
"prompt": null
},
"output_types": [
"LLMChain"
],
"documentation": "",
"beta": true,
"error": null
},
"id": "LLMChain-owwbr"
},
"selected": false,
"positionAbsolute": {
"x": 935.6327267229701,
"y": 805.7504241146173
},
"dragging": false
},
{
"width": 384,
"height": 736,
"id": "AzureChatOpenAI-TCvCM",
"type": "genericNode",
"position": {
"x": 179.09529943012853,
"y": 172.0221035260039
},
"data": {
"type": "AzureChatOpenAI",
"node": {
"template": {
"code": {
"dynamic": true,
"required": true,
"placeholder": "",
"show": false,
"multiline": true,
"value": "from typing import Optional\nfrom genflow.interface.custom import CustomComponent\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chat_models import AzureChatOpenAI\n\n\nclass AzureChatOpenAILLM(CustomComponent):\n display_name: str = \"AzureChatOpenAI\"\n description: str = \"Azure Chat Open AI Chat&Completion large language models.\"\n\n AZURE_OPENAI_MODELS = [\n \"gpt-4\",\n \"gpt-4-32k\",\n \"gpt-4-vision\",\n ]\n\n def build_config(self):\n return {\n \"model\": {\n \"display_name\": \"Model Name\",\n \"value\": \"gpt-4\",\n \"options\": self.AZURE_OPENAI_MODELS,\n \"required\": True,\n },\n \"api_key\": {\n \"display_name\": \"AzureChatOpenAI API Key\",\n \"required\": True,\n \"password\": True,\n },\n \"api_base\": {\n \"display_name\": \"AzureChatOpenAI API Base\",\n \"required\": True,\n },\n \"api_type\": {\"display_name\": \"AzureChatOpenAI API Type\", \"required\": True},\n \"azure_deployment\": {\n \"display_name\": \"Deployment Name\",\n \"required\": True,\n },\n \"api_version\": {\n \"display_name\": \"API Version\",\n \"value\": \"2023-07-01-preview\",\n \"required\": True,\n \"advanced\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"value\": 0.5,\n \"field_type\": \"float\",\n \"required\": False,\n },\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"value\": 512,\n \"required\": False,\n \"field_type\": \"int\",\n \"advanced\": True,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n model: str,\n api_base: str,\n api_type: str,\n api_key: str,\n azure_deployment: str,\n api_version: str = \"2023-05-15\",\n temperature: Optional[float] = 0.7,\n max_tokens: Optional[int] = 512,\n ) -> BaseLLM:\n try:\n output = AzureChatOpenAI(\n model_name=model,\n openai_api_base=api_base,\n openai_api_type=api_type,\n openai_api_key=api_key,\n openai_api_version=api_version,\n deployment_name=azure_deployment,\n temperature=temperature,\n max_tokens=max_tokens,\n )\n except Exception as e:\n raise ValueError(\"Could not connect to Azure ChatOpenAI model.\") from e\n return output\n",
"password": false,
"name": "code",
"advanced": false,
"type": "code",
"list": false
},
"_type": "CustomComponent",
"api_base": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "api_base",
"display_name": "AzureChatOpenAI API Base",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
"list": false,
"value": ""
},
"api_key": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"password": true,
"name": "api_key",
"display_name": "AzureChatOpenAI API Key",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
"list": false,
"value": ""
},
"api_type": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "api_type",
"display_name": "AzureChatOpenAI API Type",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
"list": false,
"value": "azure"
},
"api_version": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"value": "2023-07-01-preview",
"password": false,
"name": "api_version",
"display_name": "API Version",
"advanced": true,
"dynamic": false,
"info": "",
"type": "str",
"list": false
},
"azure_deployment": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "azure_deployment",
"display_name": "Deployment Name",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
"list": false,
"value": ""
},
"max_tokens": {
"required": false,
"placeholder": "",
"show": true,
"multiline": false,
"value": 512,
"password": false,
"name": "max_tokens",
"display_name": "Max Tokens",
"advanced": true,
"dynamic": false,
"info": "",
"type": "int",
"list": false
},
"model": {
"required": true,
"placeholder": "",
"show": true,
"multiline": false,
"value": "gpt-4",
"password": false,
"options": [
"gpt-4",
"gpt-4-32k",
"gpt-4-vision"
],
"name": "model",
"display_name": "Model Name",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
"list": true
},
"temperature": {
"required": false,
"placeholder": "",
"show": true,
"multiline": false,
"value": "0.1",
"password": false,
"name": "temperature",
"display_name": "Temperature",
"advanced": false,
"dynamic": false,
"info": "",
"type": "float",
"list": false
}
},
"description": "Azure Chat Open AI Chat&Completion large language models.",
"base_classes": [
"BaseLLM",
"BaseLanguageModel"
],
"display_name": "AzureChatOpenAI",
"custom_fields": {
"api_base": null,
"api_key": null,
"api_type": null,
"api_version": null,
"azure_deployment": null,
"max_tokens": null,
"model": null,
"temperature": null
},
"output_types": [
"AzureChatOpenAI"
],
"documentation": "",
"beta": true,
"error": null
},
"id": "AzureChatOpenAI-TCvCM"
},
"selected": false,
"positionAbsolute": {
"x": 179.09529943012853,
"y": 172.0221035260039
},
"dragging": false
},
{
"width": 384,
"height": 531,
"id": "ConversationBufferMemory-3h7pZ",
"type": "genericNode",
"position": {
"x": -320.6140741652454,
"y": 470.76547255919036
},
"data": {
"type": "ConversationBufferMemory",
"node": {
"template": {
"code": {
"dynamic": true,
"required": true,
"placeholder": "",
"show": false,
"multiline": true,
"value": "from typing import Optional, Union\nfrom langchain.memory.chat_memory import BaseMemory, BaseChatMemory\nfrom langchain.memory.buffer import ConversationBufferMemory\nfrom langchain.memory.chat_message_histories.postgres import PostgresChatMessageHistory\n\nfrom genflow import CustomComponent\n\n\nclass ConversationBufferMemoryComponent(CustomComponent):\n display_name: str = \"ConversationBufferMemory\"\n description: str = \"Buffer for storing conversation memory.\"\n documentation: str = (\n \"https://docs.aiplanet.com/components/memories#conversationbuffermemory\"\n )\n beta = False\n\n def build_config(self):\n return {\n \"input_key\": {\n \"display_name\": \"Input Key\",\n \"required\": False,\n \"value\": \"\",\n \"info\": \"The variable to be used as Chat Input when more than one variable is available.\",\n },\n \"memory_key\": {\n \"display_name\": \"Memory Key\",\n \"required\": False,\n \"value\": \"history\",\n },\n \"output_key\": {\n \"display_name\": \"Output Key\",\n \"required\": False,\n \"value\": \"\",\n \"info\": \"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\n },\n \"return_messages\": {\n \"display_name\": \"Return Messages\",\n \"field_type\": \"bool\",\n \"required\": False,\n \"value\": True,\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"required\": False,\n \"advanced\": True,\n \"value\": \"genflow_memory_db\",\n },\n \"connection_string\": {\n \"display_name\": \"Connection String\",\n \"required\": False,\n \"advanced\": True,\n \"value\": \"\",\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n input_key: Optional[str] = \"\",\n memory_key: Optional[str] = \"history\",\n output_key: Optional[str] = \"\",\n return_messages: Optional[bool] = True,\n session_id: Optional[str] = \"genflow_memory_db\",\n connection_string: Optional[str] = \"\",\n ) -> Union[BaseMemory, BaseChatMemory]:\n chat_memory = PostgresChatMessageHistory(\n session_id=session_id, connection_string=connection_string\n )\n\n keys = {}\n\n if input_key and input_key != \"\":\n keys[\"input_key\"] = input_key\n\n if output_key and output_key != \"\":\n keys[\"output_key\"] = output_key\n\n return ConversationBufferMemory(\n chat_memory=chat_memory,\n memory_key=memory_key,\n return_messages=return_messages,\n **keys\n )\n",
"password": false,
"name": "code",
"advanced": false,
"type": "code",
"list": false
},
"_type": "CustomComponent",
"connection_string": {
"required": false,
"placeholder": "",
"show": true,
"multiline": false,
"value": "",
"password": false,
"name": "connection_string",
"display_name": "Connection String",
"advanced": true,
"dynamic": false,
"info": "",
"type": "str",
"list": false
},
"input_key": {
"required": false,
"placeholder": "",
"show": true,
"multiline": false,
"value": "text",
"password": false,
"name": "input_key",
"display_name": "Input Key",
"advanced": false,
"dynamic": false,
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},
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"placeholder": "",
"show": true,
"multiline": false,
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},
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"show": true,
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"value": "",
"password": false,
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"info": "The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)",
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},
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"placeholder": "",
"show": true,
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"value": true,
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},
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},
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],
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"error": null
},
"id": "ConversationBufferMemory-3h7pZ"
},
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"height": 505,
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"placeholder": "",
"show": true,
"multiline": false,
"password": false,
"name": "chain",
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"show": true,
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"password": false,
"name": "documents",
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},
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"password": false,
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"input_types": [
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"info": "Provide a Query to invoke a chain if stack doesn't contain prompt template and memory.",
"type": "str",
"list": false
},
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},
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],
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"beta": false,
"error": null
},
"id": "TextGenerationOutput-ZOU1O"
},
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{
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},
"description": "Language Translation assistant for Indian language support: Hindi, Kannada, Tamil, Telugu, Punjabi and Gujarati ",
"name": "Indic_Language",
"flow_type": "chat"
}