this is not producing the results I hoped: models = hf_api.list_models()

st.write(“Count:”, len(models))

# with st.expander(“Show list of Models.”):
# st.write(models)
#
with st.expander(“Show list of Models.”):
# Loop over the first 100 models and display them in expanders
for model_id in range(min(len(models), 10)):
with st.expander(f”Model ID: {model_id}”): # Use the model ID as the expander label
with open(models[model_id]) as f:
model_data = json.load(f)
st.json(model_data) # Display the JSON data inside the expander
It seems that you are trying to use the `hf_api.list_models()` function to retrieve a list of models and display them using Streamlit. However, without the necessary context or additional information, it’s challenging to determine the exact issue you’re facing.

To help you troubleshoot, here are a few potential points to consider:

1. Make sure you have imported the necessary libraries, including `streamlit` and `json`.
2. Confirm that you have authenticated and have the required permissions to access the Hugging Face model repository API.
3. Verify that the `hf_api.list_models()` function is returning the expected data. You can print the `models` variable to inspect its contents and check if it matches your expectations.
4. Ensure that the JSON data is properly formatted and can be loaded without any errors. If there are any issues with the JSON data, the `json.load()` function may raise an exception.
5. Uncommenting the line `st.write(models)` and running the code can help you verify if the list of models is being retrieved correctly before diving into displaying the JSON data.

By addressing these points and providing any error messages or specific issues you are encountering, I can assist you further in resolving the problem.
this is a sample the JSON objects that are returned. I want to use the modelId as the label or text for the st.expander and place the contents of the object inside the expander: and model_id is the way to indentify the key in the json, right
Yes, in the code snippet you provided, `model_id` is used as the label or text for the `st.expander` component. It will display as “Model ID: {model_id}” where `{model_id}` is the actual value of the `model_id` variable.

To access the contents of the JSON object and display them inside the expander, you can modify your code as follows:

“`python
import json
import streamlit as st

models = hf_api.list_models()

st.write(“Count:”, len(models))

with st.expander(“Show list of Models.”):
# Loop over the first 10 models and display them in expanders
for model_id in range(min(len(models), 10)):
with st.expander(f”Model ID: {models[model_id][‘modelId’]}”): # Use the modelId as the expander label
model_data = models[model_id]
st.json(model_data) # Display the JSON data inside the expander
“`

In this modified code, `models[model_id][‘modelId’]` is used to access the `modelId` key from the JSON object and use it as the label for the expander. The JSON data is assigned to the `model_data` variable, and `st.json(model_data)` is called to display the JSON data inside the expander.

Make sure to import the necessary libraries, including `json` and `streamlit`, and ensure that you have the required permissions to access the Hugging Face model repository API.