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Update ChatVertexAIComponent parameters

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This commit is contained in:
anovazzi1 2024-01-10 11:31:22 -03:00
commit 44a17f6f25
1 changed files with 21 additions and 20 deletions
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41
src/backend/langflow/components/llms/ChatVertexAI.py
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@ -1,7 +1,8 @@
from langflow import CustomComponent
from typing import List
from langchain.messages import BaseMessage
from typing import List, Optional
from langchain_core.messages.base import BaseMessage
from langchain_community.chat_models.vertexai import ChatVertexAI
class ChatVertexAIComponent(CustomComponent):
display_name = "ChatVertexAI"
@ -11,7 +12,7 @@ class ChatVertexAIComponent(CustomComponent):
return {
"credentials": {
"display_name": "Credentials",
"type": "file",
"field_type": "file",
"fileTypes": ["json"],
"file_path": None,
},
@ -21,53 +22,53 @@ class ChatVertexAIComponent(CustomComponent):
},
"location": {
"display_name": "Location",
"default": "us-central1",
"value": "us-central1",
},
"max_output_tokens": {
"display_name": "Max Output Tokens",
"default": 128,
"value": 128,
"advanced": True,
},
"model_name": {
"display_name": "Model Name",
"default": "chat-bison",
"value": "chat-bison",
},
"project": {
"display_name": "Project",
},
"temperature": {
"display_name": "Temperature",
"default": 0.0,
"value": 0.0,
},
"top_k": {
"display_name": "Top K",
"default": 40,
"value": 40,
"advanced": True,
},
"top_p": {
"display_name": "Top P",
"default": 0.95,
"value": 0.95,
"advanced": True,
},
"verbose": {
"display_name": "Verbose",
"default": False,
"value": False,
"advanced": True,
},
}
def build(
self,
credentials: str,
examples: List[BaseMessage],
project: str,
location: str = "us-central1",
max_output_tokens: int = 128,
model_name: str = "chat-bison",
temperature: float = 0.0,
top_k: int = 40,
top_p: float = 0.95,
verbose: bool = False,
credentials: Optional[str],
examples: Optional[List[BaseMessage]],
project: Optional[str],
location: Optional[str] = "us-central1",
max_output_tokens: Optional[int] = 128,
model_name: Optional[str] = "chat-bison",
temperature: Optional[float] = 0.0,
top_k: Optional[int] = 40,
top_p: Optional[float] = 0.95,
verbose: Optional[bool] = False,
):
# Assuming there is a ChatVertexAI class that takes these parameters
return ChatVertexAI(