refactor: replace StrInput with TextInput

src/backend/base/langflow/components/data/APIRequest.py

@@ -7,7 +7,7 @@ from loguru import logger
 
 from langflow.base.curl.parse import parse_context
 from langflow.custom import Component
-from langflow.inputs import DropdownInput, IntInput, NestedDictInput, StrInput
+from langflow.inputs import DropdownInput, IntInput, NestedDictInput, TextInput
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 from langflow.template import Output
@@ -19,13 +19,13 @@ class APIRequestComponent(Component):
     icon = "Globe"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="urls",
             display_name="URLs",
             is_list=True,
             info="Enter one or more URLs, separated by commas.",
         ),
-        StrInput(
+        TextInput(
             name="curl",
             display_name="Curl",
             info="Paste a curl command to populate the fields.",

src/backend/base/langflow/components/data/Directory.py

@@ -2,7 +2,7 @@ from typing import List, Optional
 
 from langflow.base.data.utils import parallel_load_data, parse_text_file_to_data, retrieve_file_paths
 from langflow.custom import Component
-from langflow.inputs import StrInput, IntInput, BoolInput
+from langflow.inputs import TextInput, IntInput, BoolInput
 from langflow.template import Output
 from langflow.schema import Data
 
@@ -13,12 +13,12 @@ class DirectoryComponent(Component):
     icon = "folder"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="path",
             display_name="Path",
             info="Path to the directory to load files from.",
         ),
-        StrInput(
+        TextInput(
             name="types",
             display_name="Types",
             info="File types to load. Leave empty to load all types.",

src/backend/base/langflow/components/data/URL.py

@@ -1,12 +1,12 @@
+import re
+
 from langchain_community.document_loaders.web_base import WebBaseLoader
 
 from langflow.custom import Component
-from langflow.inputs import StrInput
+from langflow.inputs import TextInput
 from langflow.schema import Data
 from langflow.template import Output
 
-import re
-
 
 class URLComponent(Component):
     display_name = "URL"
@@ -14,7 +14,7 @@ class URLComponent(Component):
     icon = "layout-template"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="urls",
             display_name="URLs",
             info="Enter one or more URLs, separated by commas.",

src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py

@@ -2,7 +2,7 @@ from langchain_openai.embeddings.base import OpenAIEmbeddings
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, StrInput
+from langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
 from langflow.template import Output
 
 
@@ -24,8 +24,8 @@ class OpenAIEmbeddingsComponent(LCModelComponent):
             info="Default query parameters to use for the API request.",
         ),
         IntInput(name="chunk_size", display_name="Chunk Size", advanced=True, value=1000),
-        StrInput(name="client", display_name="Client", advanced=True),
+        TextInput(name="client", display_name="Client", advanced=True),
-        StrInput(name="deployment", display_name="Deployment", advanced=True),
+        TextInput(name="deployment", display_name="Deployment", advanced=True),
         IntInput(name="embedding_ctx_length", display_name="Embedding Context Length", advanced=True, value=1536),
         IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
         DropdownInput(
@@ -43,17 +43,17 @@ class OpenAIEmbeddingsComponent(LCModelComponent):
         SecretStrInput(name="openai_api_base", display_name="OpenAI API Base", advanced=True),
         SecretStrInput(name="openai_api_key", display_name="OpenAI API Key"),
         SecretStrInput(name="openai_api_type", display_name="OpenAI API Type", advanced=True),
-        StrInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
+        TextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
-        StrInput(
+        TextInput(
             name="openai_organization",
             display_name="OpenAI Organization",
             advanced=True,
         ),
-        StrInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
+        TextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
         FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
         BoolInput(name="show_progress_bar", display_name="Show Progress Bar", advanced=True),
         BoolInput(name="skip_empty", display_name="Skip Empty", advanced=True),
-        StrInput(
+        TextInput(
             name="tiktoken_model_name",
             display_name="TikToken Model Name",
             advanced=True,

src/backend/base/langflow/components/experimental/SelectivePassThrough.py

@@ -1,20 +1,21 @@
 from langflow.custom import Component
 from langflow.field_typing import Text
-from langflow.inputs import BoolInput, DropdownInput, StrInput
+from langflow.inputs import BoolInput, DropdownInput, TextInput
 from langflow.template import Output
 
+
 class SelectivePassThroughComponent(Component):
     display_name = "Selective Pass Through"
     description = "Passes the specified value if a specified condition is met."
     icon = "filter"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="input_value",
             display_name="Input Value",
             info="The primary input value to evaluate.",
         ),
-        StrInput(
+        TextInput(
             name="comparison_value",
             display_name="Comparison Value",
             info="The value to compare against the input value.",
@@ -25,7 +26,7 @@ class SelectivePassThroughComponent(Component):
             options=["equals", "not equals", "contains", "starts with", "ends with"],
             info="Condition to evaluate the input value.",
         ),
-        StrInput(
+        TextInput(
             name="value_to_pass",
             display_name="Value to Pass",
             info="The value to pass if the condition is met.",

src/backend/base/langflow/components/experimental/SplitText.py

@@ -1,7 +1,7 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.inputs import IntInput, StrInput, HandleInput
+from langflow.inputs import HandleInput, IntInput, TextInput
 from langflow.schema import Data
 from langflow.template import Output
 from langflow.utils.util import unescape_string
@@ -13,45 +13,40 @@ class SplitContentComponent(Component):
     icon = "split"
 
     inputs = [
-        HandleInput(
+        HandleInput(name="data", display_name="Data", info="Data with text to split.", input_types=["Data"]),
-            name="data",
+        TextInput(
-            display_name="Data",
-            info="Data with text to split.",
-            input_types=["Data"]
-        ),
-        StrInput(
             name="content_key",
             display_name="Content Key",
             info="The key to access the text content in the Data object.",
             value="content",
         ),
-        StrInput(
+        TextInput(
             name="separator",
             display_name="Separator",
             info='The character to split on. Defaults to "\n".',
             value="\n",
-            advanced=True
+            advanced=True,
         ),
         IntInput(
             name="chunk_size",
             display_name="Chunk Size",
             info="The target length (in number of characters) of each chunk.",
             value=0,
-            advanced=True
+            advanced=True,
         ),
         IntInput(
             name="min_chunk_size",
             display_name="Minimum Chunk Size",
             info="The minimum size of chunks. Smaller chunks will be merged.",
             value=0,
-            advanced=True
+            advanced=True,
         ),
         IntInput(
             name="max_chunk_size",
             display_name="Maximum Chunk Size",
             info="The maximum size of chunks. Larger chunks will be split.",
             value=0,
-            advanced=True
+            advanced=True,
         ),
     ]
 
@@ -70,9 +65,9 @@ class SplitContentComponent(Component):
         buffer = ""
 
         for row in data:
-            content = row.data.get(content_key, '')
+            content = row.data.get(content_key, "")
             if chunk_size > 0:
-                chunks = [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)]
+                chunks = [content[i : i + chunk_size] for i in range(0, len(content), chunk_size)]
             else:
                 chunks = content.split(separator)
 

src/backend/base/langflow/components/experimental/TextOperator.py

@@ -1,6 +1,6 @@
 from langflow.custom import Component
 from langflow.field_typing import Text
-from langflow.inputs import BoolInput, DropdownInput, StrInput
+from langflow.inputs import BoolInput, DropdownInput, TextInput
 from langflow.template import Output
 
 
@@ -10,12 +10,12 @@ class TextOperatorComponent(Component):
     icon = "equal"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="input_text",
             display_name="Input Text",
             info="The primary text input for the operation.",
         ),
-        StrInput(
+        TextInput(
             name="match_text",
             display_name="Match Text",
             info="The text input to compare against.",
@@ -33,13 +33,13 @@ class TextOperatorComponent(Component):
             value=False,
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="true_output",
             display_name="True Output",
             info="The output to return or display when the comparison is true.",
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="false_output",
             display_name="False Output",
             info="The output to return or display when the comparison is false.",

src/backend/base/langflow/components/helpers/CombineText.py

@@ -1,6 +1,5 @@
 from langflow.custom import Component
-from langflow.field_typing import Text
+from langflow.field_typing import Text, TextInput
-from langflow.inputs import StrInput
 from langflow.template import Output
 
 
@@ -10,17 +9,17 @@ class CombineTextComponent(Component):
     icon = "merge"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="text1",
             display_name="First Text",
             info="The first text input to concatenate.",
         ),
-        StrInput(
+        TextInput(
             name="text2",
             display_name="Second Text",
             info="The second text input to concatenate.",
         ),
-        StrInput(
+        TextInput(
             name="delimiter",
             display_name="Delimiter",
             info="A string used to separate the two text inputs. Defaults to a whitespace.",

src/backend/base/langflow/components/helpers/CustomComponent.py

@@ -1,6 +1,6 @@
 # from langflow.field_typing import Data
 from langflow.custom import Component
-from langflow.inputs import StrInput
+from langflow.inputs import TextInput
 from langflow.schema import Data
 from langflow.template import Output
 
@@ -12,7 +12,7 @@ class CustomComponent(Component):
     icon = "custom_components"
 
     inputs = [
-        StrInput(name="input_value", display_name="Input Value", value="Hello, World!"),
+        TextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
     ]
 
     outputs = [

src/backend/base/langflow/components/helpers/FilterData.py

@@ -1,7 +1,7 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.inputs import StrInput, HandleInput
+from langflow.inputs import HandleInput, TextInput
 from langflow.schema import Data
 from langflow.template import Output
 
@@ -18,7 +18,7 @@ class FilterDataComponent(Component):
             info="Data object to filter.",
             input_types=["Message", "Data"],
         ),
-        StrInput(
+        TextInput(
             name="filter_criteria",
             display_name="Filter Criteria",
             info="List of keys to filter by.",

src/backend/base/langflow/components/helpers/Memory.py

@@ -1,11 +1,11 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.inputs import DropdownInput, StrInput, IntInput
+from langflow.field_typing import Text
-from langflow.template import Output
+from langflow.inputs import DropdownInput, IntInput, TextInput
 from langflow.memory import get_messages
 from langflow.schema import Data
-from langflow.field_typing import Text
+from langflow.template import Output
 
 
 class MemoryComponent(Component):
@@ -22,7 +22,7 @@ class MemoryComponent(Component):
             info="Type of sender.",
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="sender_name",
             display_name="Sender Name",
             info="Name of the sender.",
@@ -35,7 +35,7 @@ class MemoryComponent(Component):
             info="Number of messages to retrieve.",
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="session_id",
             display_name="Session ID",
             info="Session ID of the chat history.",

src/backend/base/langflow/components/inputs/ChatInput.py

@@ -1,8 +1,8 @@
 from langflow.base.io.chat import ChatComponent
-from langflow.inputs import DropdownInput, StrInput
+from langflow.field_typing import Text
+from langflow.inputs import DropdownInput, TextInput
 from langflow.schema.message import Message
 from langflow.template import Output
-from langflow.field_typing import Text
 
 
 class ChatInput(ChatComponent):
@@ -11,7 +11,7 @@ class ChatInput(ChatComponent):
     icon = "ChatInput"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="input_value",
             display_name="Text",
             multiline=True,
@@ -27,7 +27,7 @@ class ChatInput(ChatComponent):
             info="Type of sender.",
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="sender_name",
             type=str,
             display_name="Sender Name",
@@ -35,7 +35,7 @@ class ChatInput(ChatComponent):
             value="User",
             advanced=True,
         ),
-        StrInput(
+        TextInput(
             name="session_id", type=str, display_name="Session ID", info="Session ID for the message.", advanced=True
         ),
     ]

src/backend/base/langflow/components/inputs/TextInput.py

@@ -1,6 +1,6 @@
 from langflow.base.io.text import TextComponent
 from langflow.field_typing import Text
-from langflow.inputs import StrInput
+from langflow.inputs import TextInput
 from langflow.template import Output
 
 
@@ -10,7 +10,7 @@ class TextInputComponent(TextComponent):
     icon = "type"
 
     inputs = [
-        StrInput(
+        TextInput(
             name="input_value",
             display_name="Text",
             info="Text to be passed as input.",