langflow-ai / langflow

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.

Home Page:http://www.langflow.org

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LANGFLOW black screen on launch

nguyenlykhanhlinh opened this issue · comments

help me this error:
I tried install langflow follow step-by-step in doc langflow and I also tried fixing the error according to the GitHub link provided ([https://github.com//issues/2090]) but when i run cmd, screen still completely black.

Does anyone know how to fix this issue? If you could help, I would be very grateful. Thank you so much.

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Hello @nguyenlykhanhlinh! I'm here to assist you with any bugs, questions, or contributions.

To resolve the ModuleNotFoundError for langflow.components.vectorstores.Couchbase and the black screen issue, follow these steps:

  1. Install Necessary Dependencies:
    Ensure you have installed the required dependencies, specifically couchbase and langchain_community. You can install them using the following command:

    pip install couchbase langchain_community
  2. Check Version Requirements:
    Make sure you are using the correct version of the couchbase package. The required version is ^4.2.1:

    pip install couchbase==4.2.1
  3. Verify Imports:
    Ensure that the CouchbaseComponent is correctly imported in your __init__.py file within the vectorstores directory. The relevant section should look like this:

    from .Couchbase import CouchbaseComponent
    
    __all__ = [
        "CouchbaseComponent",
        # other components
    ]
  4. Enable Detailed Logging:
    Enable detailed logging to diagnose the black screen issue. Set the environment variable LANGFLOW_LOG_LEVEL to DEBUG:

    export LANGFLOW_LOG_LEVEL=DEBUG

    Alternatively, configure logging in your code:

    from pathlib import Path
    from langflow.utils.logger import configure
    
    configure(log_level="DEBUG", log_file=Path("/path/to/your/logfile.log"))
  5. Check debounce Function:
    The debounce function error might be due to incorrect imports or missing definitions. Ensure SAVE_DEBOUNCE_TIME is correctly imported and has a valid numeric value. Verify that handleUpdateValues is a valid function and is correctly passed to debounce. Here is the relevant code snippet:

    import { debounce } from "lodash";
    import { SAVE_DEBOUNCE_TIME } from "../constants/constants";
    import { postCustomComponentUpdate } from "../controllers/API";
    import { NodeDataType } from "../types/flow";
    
    export const handleUpdateValues = async (name: string, data: NodeDataType) => {
      const code = data.node?.template?.code?.value;
      if (!code) {
        console.error("Code not found in the template");
        return;
      }
    
      const template = data.node?.template;
      if (!template) {
        console.error("No template found in the node.");
        return;
      }
    
      try {
        const res = await postCustomComponentUpdate(
          code,
          template,
          name,
          data.node?.template[name]?.value
        );
        if (res.status === 200 && data.node?.template) {
          return res.data.template;
        }
      } catch (error) {
        console.error("Error occurred while updating the node:", error);
        throw error;
      }
    };
    
    export const debouncedHandleUpdateValues = debounce(
      handleUpdateValues,
      SAVE_DEBOUNCE_TIME
    );
  6. Check Environment Variables:
    Ensure all necessary environment variables are set. Here are some key variables:

    VARIABLES_TO_GET_FROM_ENVIRONMENT = [
        "OPENAI_API_KEY",
        "ANTHROPIC_API_KEY",
        "GOOGLE_API_KEY",
        "AZURE_OPENAI_API_KEY",
        "AZURE_OPENAI_API_VERSION",
        "AZURE_OPENAI_API_INSTANCE_NAME",
        "AZURE_OPENAI_API_DEPLOYMENT_NAME",
        "AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME",
        "ASTRA_DB_APPLICATION_TOKEN",
        "ASTRA_DB_API_ENDPOINT",
        "COHERE_API_KEY",
        "HUGGINGFACEHUB_API_TOKEN",
        "SEARCHAPI_API_KEY",
        "SERPAPI_API_KEY",
        "VECTARA_CUSTOMER_ID",
        "VECTARA_CORPUS_ID",
        "VECTARA_API_KEY",
    ]

By following these steps, you should be able to resolve the ModuleNotFoundError and the black screen issue in Langflow [1][2][3][4][5][6][7][8][9][10].

To continue talking to Dosu, mention @dosu.

@dosu the init.py file is empty

This issue should not occur again after version 1.0.