Try to share app.config.id with two programs with no success with huggingface (embedchain 0.1.88)

[PhilFlash]

🐛 Describe the bug

I try to share documents with no success with huggingface

iwprog.yaml:

app:
  config:
    id: 'my-appli-1'
llm:
  provider: huggingface
  config:
    model: 'mistralai/Mistral-7B-Instruct-v0.2'
    top_p: 0.5

embedder:
  provider: huggingface
  config:
    model: 'sentence-transformers/all-mpnet-base-v2'

vectordb:
  provider: chroma
  config:
    collection_name: 'program-collection'
    dir: dbprog
    allow_reset: true

addpdf.py:

import os
os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "hf_token"

from embedchain import App
app = App.from_config("iwprog.yaml")

app.reset()
PDF_FILE =  os.path.join(os.getcwd(), 'mypdf.pdf')
app.add(PDF_FILE)

All is ok to read pdf

prog3.chat.py:

import os
os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "hf_token"

from embedchain import App

app = App.from_config(config={
  "app": {
    "config": {
      # this will persist and load data from app1 session
      "id": "my-appli-1",
    }
  }
})

while True:
    user_input = input("Enter your question (type 'exit' to quit): ")

    # Break the loop if the user types 'exit'
    if user_input.lower() in ['q', 'exit', 'quit']:
        break

    # Process the input and provide a response
    response = app.chat(user_input)
    print(response)

I have an error:

Traceback (most recent call last):
  File "E:\pythonProjects\ec_programs\prog3.chat.py", line 10, in <module>
    app = App.from_config(config={
          ^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pythonProjects\ec_programs\.venv\Lib\site-packages\embedchain\app.py", line 394, in from_config
    embedding_model = EmbedderFactory.create(
                      ^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pythonProjects\ec_programs\.venv\Lib\site-packages\embedchain\factory.py", line 75, in create
    return embedder_class(config=embedder_config_class(**config_data))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pythonProjects\ec_programs\.venv\Lib\site-packages\embedchain\embedder\openai.py", line 19, in __init__
    api_key = self.config.api_key or os.environ["OPENAI_API_KEY"]
                                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^
  File "<frozen os>", line 685, in __getitem__
KeyError: 'OPENAI_API_KEY'