LANGFLOW black screen on launch about langflow HOT 2 OPEN

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.

from langflow.

@dosu the init.py file is empty

from langflow.