How to Pass Data to a Databricks App?

[adam_mich]

I am developing a Databricks application using the Streamlit package. I was able to get a "hello world" app deployed successfully, but now I am trying to pass data that exists in the dbfs on the same instance. I try to read a csv saved to the dbfs but get a file not found error. I am assuming there is a virtual environment being setup during deployment and there is an additional step I need to do to configure the path. Thanks in advance.

[Walter_C]

Hello Adam,

So you are running something similar to:

 import streamlit as st
 import pandas as pd

 # Path to the CSV file in DBFS
 file_path = '/dbfs/path/to/your/file.csv'

 # Read the CSV file
 df = pd.read_csv(file_path)

 # Display the dataframe in Streamlit
 st.write(df)

And it is resulting in this file not found issue?

[adam_mich]

Yes, exactly. To add more context, the read_csv() line works if I just run it in a notebook with the same path, but it does not work once I try and deploy the application.

[Walter_C]

What if you try to list the file using dbutils.fs.ls("dbfs:/mnt/path/to/data") does it list it?

[adam_mich]

Well, I can't even use dbutils in the app. When I try that, I get a NameError name 'dbutils' is not defined error. Again, this just works in a notebook but not the app.

If I try and do this: 

os.listdir('/dbfs/'), it again does not find that directory.