Error message about knowledge_gpt HOT 5 CLOSED

Traceback (most recent call last):

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 593, in get_or_create_cached_value

    return_value = _read_from_cache(

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 350, in _read_from_cache

    raise e

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 335, in _read_from_cache

    return _read_from_mem_cache(

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 252, in _read_from_mem_cache

    raise CacheKeyNotFoundError("Key not found in mem cache")

streamlit.runtime.legacy_caching.caching.CacheKeyNotFoundError: Key not found in mem cache

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 565, in _run_script

    exec(code, module.__dict__)

  File "/app/knowledge_gpt/knowledge_gpt/main.py", line 79, in <module>

    index = embed_docs(text)

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 627, in wrapped_func

    return get_or_create_cached_value()

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/legacy_caching/caching.py", line 611, in get_or_create_cached_value

    return_value = non_optional_func(*args, **kwargs)

  File "/app/knowledge_gpt/knowledge_gpt/utils.py", line 97, in embed_docs

    index = FAISS.from_documents(docs, embeddings)

  File "/home/appuser/venv/lib/python3.10/site-packages/langchain/vectorstores/base.py", line 62, in from_documents

    return cls.from_texts(texts, embedding, metadatas=metadatas, **kwargs)

  File "/home/appuser/venv/lib/python3.10/site-packages/langchain/vectorstores/faiss.py", line 192, in from_texts

    index = faiss.IndexFlatL2(len(embeddings[0]))

IndexError: list index out of range