Update component descriptions and messages

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

@@ -7,8 +7,8 @@ from langflow.schema import Record
 
 
 class DocumentToRecordComponent(CustomComponent):
-    display_name = "Documents to Records"
+    display_name = "Documents To Records"
-    description = "Convert documents to records."
+    description = "Convert LangChain Documents into Records."
 
     field_config = {
         "documents": {"display_name": "Documents"},

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

@@ -7,7 +7,7 @@ from langflow.schema import Record
 
 class MessageHistoryComponent(CustomComponent):
     display_name = "Message History"
-    description = "Used to retrieve stored messages."
+    description = "Used to retrieve stored chat messages."
     beta: bool = True
 
     def build_config(self):

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

@@ -4,9 +4,9 @@ from langflow.interface.custom.custom_component import CustomComponent
 from langflow.schema import Record
 
 
-class RecordsAsTextComponent(CustomComponent):
+class RecordsToTextComponent(CustomComponent):
-    display_name = "Records to Text"
+    display_name = "Records To Text"
-    description = "Converts Records into single piece of text using a template."
+    description = "Convert Records into plain text using a pre-defined template."
 
     def build_config(self):
         return {

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

@@ -4,7 +4,7 @@ from langflow.schema import Record
 
 class UpdateRecordComponent(CustomComponent):
     display_name = "Update Record"
-    description = "Updates a record with new data."
+    description = "Updates a Record with new data. Akin to a Python dictionary update."
 
     def build_config(self):
         return {

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

@@ -7,7 +7,7 @@ from langflow.schema import Record
 
 class ChatInput(ChatComponent):
     display_name = "Chat Input"
-    description = "Used to get user input from the chat."
+    description = "Used to capture and send user inputs from the chat."
     icon = "ChatInput"
 
     def build(

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

@@ -6,7 +6,7 @@ from langflow.interface.custom.custom_component import CustomComponent
 
 class PromptComponent(CustomComponent):
     display_name: str = "Prompt"
-    description: str = "A component for creating prompts using templates"
+    description: str = "A component for creating prompt templates using dynamic variables."
     icon = "terminal-square"
 
     def build_config(self):

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

@@ -6,7 +6,7 @@ from langflow.field_typing import Text
 
 class TextInput(TextComponent):
     display_name = "Text Input"
-    description = "Used to pass text input to the next component."
+    description = "Used to capture and send text inputs."
 
     def build(self, input_value: Optional[str] = "") -> Text:
         return super().build(input_value=input_value)

src/backend/base/langflow/components/models/CTransformersModel.py

@@ -1,59 +0,0 @@
-from typing import Dict, Optional
-
-from langchain_community.llms.ctransformers import CTransformers
-
-from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import Text
-
-
-class CTransformersComponent(LCModelComponent):
-    display_name = "CTransformers"
-    description = "Generate text using CTransformers LLM models"
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
-
-    def build_config(self):
-        return {
-            "model": {"display_name": "Model", "required": True},
-            "model_file": {
-                "display_name": "Model File",
-                "required": False,
-                "field_type": "file",
-                "file_types": [".bin"],
-            },
-            "model_type": {"display_name": "Model Type", "required": True},
-            "config": {
-                "display_name": "Config",
-                "advanced": True,
-                "required": False,
-                "field_type": "dict",
-                "value": '{"top_k":40,"top_p":0.95,"temperature":0.8,"repetition_penalty":1.1,"last_n_tokens":64,"seed":-1,"max_new_tokens":256,"stop":"","stream":"False","reset":"True","batch_size":8,"threads":-1,"context_length":-1,"gpu_layers":0}',
-            },
-            "input_value": {"display_name": "Input"},
-            "stream": {
-                "display_name": "Stream",
-                "info": "Stream the response from the model.",
-            },
-            "system_message": {
-                "display_name": "System Message",
-                "info": "System message to pass to the model.",
-            },
-        }
-
-    def build(
-        self,
-        model: str,
-        model_file: str,
-        input_value: Text,
-        model_type: str,
-        stream: bool = False,
-        config: Optional[Dict] = None,
-    ) -> Text:
-        output = CTransformers(
-            client=None,
-            model=model,
-            model_file=model_file,
-            model_type=model_type,
-            config=config,  # noqa
-        )
-
-        return self.get_result(runnable=output, stream=stream, input_value=input_value)

src/backend/base/langflow/components/models/LlamaCppModel.py

@@ -1,148 +0,0 @@
-from typing import Any, Dict, List, Optional
-
-from langchain_community.llms.llamacpp import LlamaCpp
-
-from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import Text
-
-
-class LlamaCppComponent(LCModelComponent):
-    display_name = "LLaMA C++"
-    description = "Generate text using llama.cpp model."
-    documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
-
-    def build_config(self):
-        return {
-            "grammar": {"display_name": "Grammar", "advanced": True},
-            "cache": {"display_name": "Cache", "advanced": True},
-            "client": {"display_name": "Client", "advanced": True},
-            "echo": {"display_name": "Echo", "advanced": True},
-            "f16_kv": {"display_name": "F16 KV", "advanced": True},
-            "grammar_path": {"display_name": "Grammar Path", "advanced": True},
-            "last_n_tokens_size": {
-                "display_name": "Last N Tokens Size",
-                "advanced": True,
-            },
-            "logits_all": {"display_name": "Logits All", "advanced": True},
-            "logprobs": {"display_name": "Logprobs", "advanced": True},
-            "lora_base": {"display_name": "Lora Base", "advanced": True},
-            "lora_path": {"display_name": "Lora Path", "advanced": True},
-            "max_tokens": {"display_name": "Max Tokens", "advanced": True},
-            "metadata": {"display_name": "Metadata", "advanced": True},
-            "model_kwargs": {"display_name": "Model Kwargs", "advanced": True},
-            "model_path": {
-                "display_name": "Model Path",
-                "field_type": "file",
-                "file_types": [".bin"],
-                "required": True,
-            },
-            "n_batch": {"display_name": "N Batch", "advanced": True},
-            "n_ctx": {"display_name": "N Ctx", "advanced": True},
-            "n_gpu_layers": {"display_name": "N GPU Layers", "advanced": True},
-            "n_parts": {"display_name": "N Parts", "advanced": True},
-            "n_threads": {"display_name": "N Threads", "advanced": True},
-            "repeat_penalty": {"display_name": "Repeat Penalty", "advanced": True},
-            "rope_freq_base": {"display_name": "Rope Freq Base", "advanced": True},
-            "rope_freq_scale": {"display_name": "Rope Freq Scale", "advanced": True},
-            "seed": {"display_name": "Seed", "advanced": True},
-            "stop": {"display_name": "Stop", "advanced": True},
-            "streaming": {"display_name": "Streaming", "advanced": True},
-            "suffix": {"display_name": "Suffix", "advanced": True},
-            "tags": {"display_name": "Tags", "advanced": True},
-            "temperature": {"display_name": "Temperature"},
-            "top_k": {"display_name": "Top K", "advanced": True},
-            "top_p": {"display_name": "Top P", "advanced": True},
-            "use_mlock": {"display_name": "Use Mlock", "advanced": True},
-            "use_mmap": {"display_name": "Use Mmap", "advanced": True},
-            "verbose": {"display_name": "Verbose", "advanced": True},
-            "vocab_only": {"display_name": "Vocab Only", "advanced": True},
-            "input_value": {"display_name": "Input"},
-            "stream": {
-                "display_name": "Stream",
-                "info": "Stream the response from the model.",
-            },
-            "system_message": {
-                "display_name": "System Message",
-                "info": "System message to pass to the model.",
-            },
-        }
-
-    def build(
-        self,
-        model_path: str,
-        input_value: Text,
-        grammar: Optional[str] = None,
-        cache: Optional[bool] = None,
-        client: Optional[Any] = None,
-        echo: Optional[bool] = False,
-        f16_kv: bool = True,
-        grammar_path: Optional[str] = None,
-        last_n_tokens_size: Optional[int] = 64,
-        logits_all: bool = False,
-        logprobs: Optional[int] = None,
-        lora_base: Optional[str] = None,
-        lora_path: Optional[str] = None,
-        max_tokens: Optional[int] = 256,
-        metadata: Optional[Dict] = None,
-        model_kwargs: Dict = {},
-        n_batch: Optional[int] = 8,
-        n_ctx: int = 512,
-        n_gpu_layers: Optional[int] = 1,
-        n_parts: int = -1,
-        n_threads: Optional[int] = 1,
-        repeat_penalty: Optional[float] = 1.1,
-        rope_freq_base: float = 10000.0,
-        rope_freq_scale: float = 1.0,
-        seed: int = -1,
-        stop: Optional[List[str]] = [],
-        streaming: bool = True,
-        suffix: Optional[str] = "",
-        tags: Optional[List[str]] = [],
-        temperature: Optional[float] = 0.8,
-        top_k: Optional[int] = 40,
-        top_p: Optional[float] = 0.95,
-        use_mlock: bool = False,
-        use_mmap: Optional[bool] = True,
-        verbose: bool = True,
-        vocab_only: bool = False,
-        stream: bool = False,
-    ) -> Text:
-        output = LlamaCpp(
-            model_path=model_path,
-            grammar=grammar,
-            cache=cache,
-            client=client,
-            echo=echo,
-            f16_kv=f16_kv,
-            grammar_path=grammar_path,
-            last_n_tokens_size=last_n_tokens_size,
-            logits_all=logits_all,
-            logprobs=logprobs,
-            lora_base=lora_base,
-            lora_path=lora_path,
-            max_tokens=max_tokens,
-            metadata=metadata,
-            model_kwargs=model_kwargs,
-            n_batch=n_batch,
-            n_ctx=n_ctx,
-            n_gpu_layers=n_gpu_layers,
-            n_parts=n_parts,
-            n_threads=n_threads,
-            repeat_penalty=repeat_penalty,
-            rope_freq_base=rope_freq_base,
-            rope_freq_scale=rope_freq_scale,
-            seed=seed,
-            stop=stop,
-            streaming=streaming,
-            suffix=suffix,
-            tags=tags,
-            temperature=temperature,
-            top_k=top_k,
-            top_p=top_p,
-            use_mlock=use_mlock,
-            use_mmap=use_mmap,
-            verbose=verbose,
-            vocab_only=vocab_only,
-        )
-
-        return self.get_result(runnable=output, stream=stream, input_value=input_value)

src/backend/base/langflow/components/outputs/ChatOutput.py

@@ -7,7 +7,7 @@ from langflow.schema import Record
 
 class ChatOutput(ChatComponent):
     display_name = "Chat Output"
-    description = "Used to send a message to the chat."
+    description = "Used to send a chat message."
     icon = "ChatOutput"
 
     def build(

src/backend/base/langflow/components/outputs/TextOutput.py

@@ -6,7 +6,7 @@ from langflow.field_typing import Text
 
 class TextOutput(TextComponent):
     display_name = "Text Output"
-    description = "Used to pass text output to the next component."
+    description = "Used to send a text output."
 
     field_config = {
         "input_value": {"display_name": "Value"},