Update inputs now that extras are forbid
This commit is contained in:
Gabriel Luiz Freitas Almeida
parent
0543934eec
commit
a9f6142820
20 changed files with 53 additions and 61 deletions
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@ -1,7 +1,7 @@
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import json
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from langflow.custom import Component
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from langflow.io import Output, TextInput
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from langflow.io import MultilineInput, Output
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from langflow.schema import Data
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@ -10,11 +10,10 @@ class WebhookComponent(Component):
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description = "Defines a webhook input for the flow."
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inputs = [
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TextInput(
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MultilineInput(
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name="data",
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display_name="Data",
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info="Use this field to quickly test the webhook component by providing a JSON payload.",
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multiline=True,
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)
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]
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outputs = [
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@ -1,7 +1,5 @@
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from typing import Any, List, Optional
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from loguru import logger
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from langflow.base.flow_processing.utils import build_data_from_result_data
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from langflow.custom import CustomComponent
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from langflow.graph.graph.base import Graph
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@ -11,6 +9,7 @@ from langflow.helpers.flow import get_flow_inputs
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from langflow.schema import Data
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from langflow.schema.dotdict import dotdict
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from langflow.template.field.base import Input
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from loguru import logger
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class SubFlowComponent(CustomComponent):
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@ -63,7 +62,7 @@ class SubFlowComponent(CustomComponent):
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name=vertex.id,
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info=vertex.description,
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field_type="str",
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default=None,
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value=None,
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)
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new_fields.append(field)
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logger.debug(new_fields)
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@ -23,7 +23,7 @@ class CombineTextComponent(Component):
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name="delimiter",
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display_name="Delimiter",
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info="A string used to separate the two text inputs. Defaults to a whitespace.",
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default=" ",
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value=" ",
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),
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]
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@ -1,6 +1,6 @@
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from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES
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from langflow.base.io.chat import ChatComponent
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from langflow.io import DropdownInput, FileInput, Output, TextInput
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from langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput
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from langflow.schema.message import Message
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@ -10,10 +10,9 @@ class ChatInput(ChatComponent):
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icon = "ChatInput"
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inputs = [
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TextInput(
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MultilineInput(
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name="input_value",
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display_name="Text",
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multiline=True,
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value="",
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info="Message to be passed as input.",
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),
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@ -27,15 +26,12 @@ class ChatInput(ChatComponent):
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),
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TextInput(
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name="sender_name",
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type=str,
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display_name="Sender Name",
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info="Name of the sender.",
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value="User",
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advanced=True,
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),
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TextInput(
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name="session_id", type=str, display_name="Session ID", info="Session ID for the message.", advanced=True
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),
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TextInput(name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True),
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FileInput(
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name="files",
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display_name="Files",
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@ -1,7 +1,6 @@
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from typing import Optional
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from langchain_community.chat_models.vertexai import ChatVertexAI
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from langflow.custom import CustomComponent
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from langflow.field_typing import BaseLanguageModel
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@ -16,7 +15,7 @@ class ChatVertexAIComponent(CustomComponent):
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"credentials": {
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"display_name": "Credentials",
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"field_type": "file",
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"file_types": [".json"],
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"file_types": ["json"],
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"file_path": None,
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},
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"examples": {
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@ -1,7 +1,6 @@
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from typing import Dict, Optional
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from langchain_community.llms.vertexai import VertexAI
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from langflow.custom import CustomComponent
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from langflow.field_typing import BaseLanguageModel
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@ -16,7 +15,7 @@ class VertexAIComponent(CustomComponent):
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"credentials": {
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"display_name": "Credentials",
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"field_type": "file",
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"file_types": [".json"],
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"file_types": ["json"],
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"required": False,
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"value": None,
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},
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@ -4,7 +4,7 @@ from pydantic.v1 import SecretStr
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from langflow.base.constants import STREAM_INFO_TEXT
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from langflow.base.models.model import LCModelComponent
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from langflow.field_typing import BaseLanguageModel, Text
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from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
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from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput, SecretStrInput
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class AzureChatOpenAIComponent(LCModelComponent):
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@ -56,7 +56,7 @@ class AzureChatOpenAIComponent(LCModelComponent):
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value=AZURE_OPENAI_API_VERSIONS[-1],
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advanced=True,
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),
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StrInput(name="api_key", display_name="API Key", password=True),
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SecretStrInput(name="api_key", display_name="API Key", password=True),
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FloatInput(name="temperature", display_name="Temperature", value=0.7),
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IntInput(
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name="max_tokens",
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@ -4,7 +4,7 @@ from pydantic.v1 import SecretStr
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from langflow.base.constants import STREAM_INFO_TEXT
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from langflow.base.models.model import LCModelComponent
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from langflow.field_typing import BaseLanguageModel, Text
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from langflow.io import BoolInput, FloatInput, Output, SecretStrInput, StrInput
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from langflow.io import BoolInput, FloatInput, Output, SecretStrInput, StrInput, DropdownInput
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class QianfanChatEndpointComponent(LCModelComponent):
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@ -19,7 +19,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
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display_name="Input",
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input_types=["Text", "Data", "Prompt"],
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),
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StrInput(
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DropdownInput(
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name="model",
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display_name="Model Name",
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options=[
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@ -1,11 +1,20 @@
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from typing import Optional
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from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
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from langflow.base.constants import STREAM_INFO_TEXT
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from langflow.base.models.model import LCModelComponent
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from langflow.field_typing import BaseLanguageModel
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from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
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from langflow.io import (
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BoolInput,
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DictInput,
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DropdownInput,
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FloatInput,
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IntInput,
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MessageInput,
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Output,
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SecretStrInput,
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StrInput,
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)
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from langflow.schema.message import Message
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@ -24,12 +33,11 @@ class ChatLiteLLMModelComponent(LCModelComponent):
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required=True,
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info="The name of the model to use. For example, `gpt-3.5-turbo`.",
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),
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StrInput(
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SecretStrInput(
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name="api_key",
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display_name="API key",
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advanced=False,
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required=False,
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password=True,
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),
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DropdownInput(
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name="provider",
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@ -49,14 +57,14 @@ class ChatLiteLLMModelComponent(LCModelComponent):
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display_name="Temperature",
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advanced=False,
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required=False,
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default=0.7,
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value=0.7,
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),
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DictInput(
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name="model_kwargs",
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display_name="Model kwargs",
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advanced=True,
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required=False,
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default={},
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value={},
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),
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FloatInput(
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name="top_p",
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@ -77,13 +85,13 @@ class ChatLiteLLMModelComponent(LCModelComponent):
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required=False,
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info="Number of chat completions to generate for each prompt. "
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"Note that the API may not return the full n completions if duplicates are generated.",
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default=1,
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value=1,
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),
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IntInput(
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name="max_tokens",
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display_name="Max tokens",
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advanced=False,
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default=256,
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value=256,
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info="The maximum number of tokens to generate for each chat completion.",
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),
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IntInput(
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@ -91,14 +99,14 @@ class ChatLiteLLMModelComponent(LCModelComponent):
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display_name="Max retries",
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advanced=True,
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required=False,
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default=6,
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value=6,
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),
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BoolInput(
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name="verbose",
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display_name="Verbose",
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advanced=True,
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required=False,
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default=False,
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value=False,
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),
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BoolInput(
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name="stream",
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@ -179,3 +187,4 @@ class ChatLiteLLMModelComponent(LCModelComponent):
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)
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return output
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return output
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@ -1,9 +1,8 @@
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from langchain_google_vertexai import ChatVertexAI
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from langflow.base.constants import STREAM_INFO_TEXT
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from langflow.base.models.model import LCModelComponent
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from langflow.field_typing import BaseLanguageModel, Text
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from langflow.io import BoolInput, FloatInput, IntInput, MessageInput, Output, StrInput
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from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, Output, StrInput
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class ChatVertexAIComponent(LCModelComponent):
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@ -13,19 +12,18 @@ class ChatVertexAIComponent(LCModelComponent):
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inputs = [
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MessageInput(name="input_value", display_name="Input"),
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StrInput(
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FileInput(
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name="credentials",
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display_name="Credentials",
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info="Path to the JSON file containing the credentials.",
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file_types=[".json"],
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file_types=["json"],
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advanced=True,
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),
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StrInput(name="project", display_name="Project", info="The project ID."),
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StrInput(
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MultilineInput(
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name="examples",
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display_name="Examples",
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info="Examples to pass to the model.",
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multiline=True,
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advanced=True,
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),
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StrInput(name="location", display_name="Location", value="us-central1", advanced=True),
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@ -2,10 +2,9 @@ from typing import List
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from langchain_community.vectorstores import Cassandra
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from langchain_core.retrievers import BaseRetriever
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -16,11 +15,10 @@ class CassandraVectorStoreComponent(Component):
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icon = "Cassandra"
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inputs = [
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StrInput(
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SecretStrInput(
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name="token",
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display_name="Token",
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info="Authentication token for accessing Cassandra on Astra DB.",
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password=True,
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required=True,
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),
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StrInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),
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@ -3,10 +3,9 @@ from typing import List
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from langchain_community.vectorstores import CouchbaseVectorStore
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from langchain_core.retrievers import BaseRetriever
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -19,7 +18,7 @@ class CouchbaseVectorStoreComponent(Component):
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inputs = [
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StrInput(name="couchbase_connection_string", display_name="Couchbase Cluster connection string", required=True),
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StrInput(name="couchbase_username", display_name="Couchbase username", required=True),
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StrInput(name="couchbase_password", display_name="Couchbase password", password=True, required=True),
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SecretStrInput(name="couchbase_password", display_name="Couchbase password", required=True),
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StrInput(name="bucket_name", display_name="Bucket Name", required=True),
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StrInput(name="scope_name", display_name="Scope Name", required=True),
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StrInput(name="collection_name", display_name="Collection Name", required=True),
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@ -2,10 +2,9 @@ from typing import List
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from langchain_core.retrievers import BaseRetriever
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from langchain_pinecone import Pinecone
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -25,7 +24,7 @@ class PineconeVectorStoreComponent(Component):
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value="Cosine",
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advanced=True,
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),
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StrInput(name="pinecone_api_key", display_name="Pinecone API Key", password=True, required=True),
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SecretStrInput(name="pinecone_api_key", display_name="Pinecone API Key", required=True),
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HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
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StrInput(
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name="text_key",
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@ -2,10 +2,9 @@ from typing import List
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from langchain_community.vectorstores import Qdrant
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from langchain_core.retrievers import BaseRetriever
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -20,7 +19,7 @@ class QdrantVectorStoreComponent(Component):
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StrInput(name="host", display_name="Host", value="localhost", advanced=True),
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IntInput(name="port", display_name="Port", value=6333, advanced=True),
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IntInput(name="grpc_port", display_name="gRPC Port", value=6334, advanced=True),
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StrInput(name="api_key", display_name="API Key", password=True, advanced=True),
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SecretStrInput(name="api_key", display_name="API Key", advanced=True),
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StrInput(name="prefix", display_name="Prefix", advanced=True),
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IntInput(name="timeout", display_name="Timeout", advanced=True),
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StrInput(name="path", display_name="Path", advanced=True),
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|
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@ -3,10 +3,9 @@ from typing import List
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from langchain_community.embeddings import FakeEmbeddings
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from langchain_community.vectorstores import Vectara
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from langchain_core.retrievers import BaseRetriever
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -19,7 +18,7 @@ class VectaraVectorStoreComponent(Component):
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inputs = [
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StrInput(name="vectara_customer_id", display_name="Vectara Customer ID", required=True),
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StrInput(name="vectara_corpus_id", display_name="Vectara Corpus ID", required=True),
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StrInput(name="vectara_api_key", display_name="Vectara API Key", password=True, required=True),
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SecretStrInput(name="vectara_api_key", display_name="Vectara API Key", required=True),
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HandleInput(
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name="vector_store_inputs",
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display_name="Vector Store Inputs",
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@ -3,10 +3,9 @@ from typing import List
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import weaviate
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from langchain_community.vectorstores import Weaviate
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from langchain_core.retrievers import BaseRetriever
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from langflow.custom import Component
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from langflow.helpers.data import docs_to_data
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from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
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from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
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from langflow.schema import Data
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@ -18,7 +17,7 @@ class WeaviateVectorStoreComponent(Component):
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inputs = [
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StrInput(name="url", display_name="Weaviate URL", value="http://localhost:8080", required=True),
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StrInput(name="api_key", display_name="API Key", password=True, required=False),
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SecretStrInput(name="api_key", display_name="API Key", required=False),
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StrInput(name="index_name", display_name="Index Name", required=True),
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StrInput(name="text_key", display_name="Text Key", value="text", advanced=True),
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HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
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|
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@ -448,7 +448,7 @@
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"show": true,
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"title_case": false,
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"type": "code",
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"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, Output, TextInput\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 TextInput(\n name=\"input_value\",\n display_name=\"Text\",\n multiline=True,\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 TextInput(\n name=\"sender_name\",\n type=str,\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(\n name=\"session_id\", type=str, 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.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\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 TextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\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"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
|
|
|
|||
|
|
@ -326,7 +326,7 @@
|
|||
"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, Output, TextInput\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 TextInput(\n name=\"input_value\",\n display_name=\"Text\",\n multiline=True,\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 TextInput(\n name=\"sender_name\",\n type=str,\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(\n name=\"session_id\", type=str, 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.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\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 TextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\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"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
|
|
|
|||
|
|
@ -502,7 +502,7 @@
|
|||
"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, Output, TextInput\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 TextInput(\n name=\"input_value\",\n display_name=\"Text\",\n multiline=True,\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 TextInput(\n name=\"sender_name\",\n type=str,\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(\n name=\"session_id\", type=str, 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.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\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 TextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\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"
|
||||
},
|
||||
"files": {
|
||||
"advanced": true,
|
||||
|
|
|
|||
|
|
@ -363,7 +363,7 @@
|
|||
"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, Output, TextInput\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 TextInput(\n name=\"input_value\",\n display_name=\"Text\",\n multiline=True,\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 TextInput(\n name=\"sender_name\",\n type=str,\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(\n name=\"session_id\", type=str, 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.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\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 TextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\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"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue