dosubot[bot]
commented
2 weeks ago Hey @medoer! I'm here to help you with any bugs, questions, or contributions you have. Let's tackle this together!
To resolve the HTML parsing error when building the Groq component, ensure that the HTML content is correctly formatted and that there are no syntax errors. In the provided code, there was a missing closing angle bracket in the last line of the content. Correcting this should help resolve the parsing error.
Here is the corrected content:
from typing import Optional
from langchain_groq import ChatGroq
from langflow.base.models.groq_constants import MODEL_NAMES
from pydantic.v1 import SecretStr
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
class GroqModel(LCModelComponent):
display_name: str = "Groq"
description: str = "Generate text using Groq."
icon = "Groq"
field_order = [
"groq_api_key",
"model",
"max_output_tokens",
"temperature",
"top_k",
"top_p",
"n",
"input_value",
"system_message",
"stream",
]
def build_config(self):
return {
"groq_api_key": {
"display_name": "Groq API Key",
"info": "API key for the Groq API.",
"password": True,
},
"groq_api_base": {
"display_name": "Groq API Base",
"info": "Base URL path for API requests, leave blank if not using a proxy or service emulator.",
"advanced": True,
},
"max_tokens": {
"display_name": "Max Output Tokens",
"info": "The maximum number of tokens to generate.",
"advanced": True,
},
"temperature": {
"display_name": "Temperature",
"info": "Run inference with this temperature. Must by in the closed interval [0.0, 1.0].",
},
"n": {
"display_name": "N",
"info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.",
"advanced": True,
},
"model_name": {
"display_name": "Model",
"info": "The name of the model to use. Supported examples: gemini-pro",
"options": MODEL_NAMES,
},
"input_value": {"display_name": "Input", "info": "The input to the model."},
"stream": {
"display_name": "Stream",
"info": STREAM_INFO_TEXT,
"advanced": True,
},
"system_message": {
"display_name": "System Message",
"info": "System message to pass to the model.",
"advanced": True,
},
}
def build(
self,
groq_api_key: str,
model_name: str,
input_value: Text,
groq_api_base: Optional[str] = None,
max_tokens: Optional[int] = None,
temperature: float = 0.1,
n: Optional[int] = 1,
stream: bool = False,
system_message: Optional[str] = None,
) -> Text:
output = ChatGroq(
model_name=model_name,
max_tokens=max_tokens or None, # type: ignore
temperature=temperature,
groq_api_base=groq_api_base,
n=n or 1,
groq_api_key=SecretStr(groq_api_key),
streaming=stream,
)
return self.get_chat_result(output, stream, input_value, system_message)Make sure to replace the content in your project with the corrected version above [1].
Additionally, ensure you have the correct dependencies and versions required for the Groq component to function correctly:
langchain-groq = "^0.1.3"
pydantic = "^1.10.2"These dependencies are specified in the pyproject.toml file [2].
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anovazzi1
Describe the bug An error was thrown while using the groq component
Browser and Version
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Additional context