How to get langflow working on codespaces

[howagain]

I'm trying to get langflow to work, and I'm trying to follow this beginner chain with memory to test the setup. But I can't get it working. I'm working on codespaces and I can't get any response back from the LLM. I can build the agent send messages. I see some message with send after end signal. I also don't see any code to edit so I can't dig into why this is happening. Hugging face space is also buggy as I can't import the JSON file at all. Does anyone have a reliable setup?

[dosubot[bot]]

🤖

Hey @howagain! Great to see you diving into another challenge with Langflow. Let's get to the bottom of this together.

I'm sorry to hear that you're having trouble getting langflow to work on codespaces. Let's try to troubleshoot this step by step.

Firstly, I'm unable to view the images you've shared. However, based on your description, it seems like you're having trouble getting a response back from the LLM and importing the JSON file on Hugging face space.

For the LLM issue, the error message "Could not connect to Ollama" usually occurs when there's an issue with the connection to the Ollama server. This could be due to a variety of reasons such as incorrect configuration, network issues, or the Ollama server being down. You can check the server status and your configuration to see if there's anything amiss.

As for the issue with importing the JSON file on Hugging face space, could you provide more details about the error you're encountering? This would help in diagnosing the problem.

Regarding the setup on codespaces, here are the steps you can follow:

1. Navigate to the Langflow repository on GitHub.
2. Click the "+" button and select "Create new Codespace". This will automatically create a new codespace in your browser.
3. Wait for the codespace to open. You should see a new Terminal window in VS Code where langflow is installed.
4. Once the installation completes, langflow will launch the webserver and your application will be available via the devcontainer port. VS Code should prompt you with a button to push once the port is available.

You can find more details about the setup in the README.md file in the .devcontainer/demo directory of the repository.

As for the dependencies, you can find the list of dependencies required to run langflow in the pyproject.toml file in the root directory of the repository. The main dependencies and development dependencies are listed under the [tool.poetry.dependencies] and [tool.poetry.group.dev.dependencies] sections respectively.

I hope this helps. If you have any more questions or need further clarification, feel free to ask.

Sources

• .devcontainer/demo/README.md
• pyproject.toml
• src/backend/langflow/components/llms/OllamaLLM.py

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[Cristhianzl]

Hi! 👋

We are using other channels as our official means of communication with users. We apologize for the delayed response.
For faster assistance, please direct your questions to our Discord channel or open a GitHub issue, as we are much more active on these platforms.

Langflow Discord Server

Thank you for your understanding.

Best regards,
The Langflow Team