Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

Rate limit reached for default-global-with-image-limits in organization org-Yu8pTMWbwQ0jvtsUA1H1py29 on requests per min. Limit: 60.000000 / min. Current: 70.000000 / min. Contact [email protected] if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method.

Hello, I keep getting the following error when running main.py. I forked the app and followed the instructions to install it. I apologize if this is a trivial issue that I shouldn't be posting here.

2024-01-14 10:26:33.229 Uncaught app exception
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.dict)
File "/Users/marcionegrao/knowledge_gpt/knowledge_gpt/main.py", line 3, in
from knowledge_gpt.components.sidebar import sidebar
ModuleNotFoundError: No module named 'knowledge_gpt'

I uploaded a Chinese txt file(zy.txt).
Input chinese prompt: “什么是精气学说”
input english prompt："What is the concept of Jingqi theory",
Whether inputting Chinese or English, the following errors will always occur：
This model's maximum context length is 4097 tokens, however you requested 7203 tokens (6947 in your prompt; 256 for the completion). Please reduce your prompt; or completion length.
zy.txt

Thanks for writing this extremely useful project and making it open source.
I was wondering if you have a script for the functions to be used in another python script (without streamlit functions / UI elements). The use case for this is to automate the process by looping through some locally stored files with nested loops for some questions and save the output into csv file. Unfortunately my current python skills are not strong enough to extract these functions from the code you provided (specially that I have not used streamlit before).
also I second the request by others of being able to save the embeddings locally so the script will not have to re calculate them every time the same file is loaded (saves time and saves bandwidth / api tokens).
thanks again.

Hi Sasmitha,

I love what you did in this knowledge_gpt. Thank you very much for sharing it!

1. I think it would be good that GPT can come up questions from the document, then also provide the answers, just like a FAQ. Can you try to add this new feature?
2. Are you hosting the app in Steamlit cloud? I am new to Steamlit, and I couldn't figure out how you made this app onto Streamlit cloud, especially how to handle those imports. Could you give us a detailed step-by-step guide?

Thanks a lot!

Leo

Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

After tried to install your app locally I encountered this error on command line OSError: [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions
How can I fix this issue to run locally? I tried to disable Antivirus as suggested on stackoverflow but no success

During the "poetry install step", there is an error msg:
"Warning: poetry.lock is not consistent with pyproject.toml. You may be getting improper dependencies. Run poetry lock [--no-update] to fix it."

Afterwards, when I run "streamlit run main.py", there's error msg:
ModuleNotFoundError: No module named 'openai'

Traceback:
File "C:\Users\souler c\knowledge_gpt.venv\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.dict)
File "C:\Users\souler c\knowledge_gpt\knowledge_gpt\main.py", line 3, in
from openai.error import OpenAIError

I'll also attach cmd & streamlit detail for you:

cmd history.txt

I get this error message while trying to parse the pdf:

IndexError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).

Hi, are you planning to create docker image?
I can provide you dockerfile, if needed.

What if GPT records the responses in a database and pulls the response from the database instead of sending new requests to OpenAI for similar queries?

Hey! Ive tried cloning this repo, installed all dependencies and then deployed it to streamlit, but I get a "please wait" that never ends and then a connection time-out. Maybe Im missing something?

input : Chinese short article(6000 words)

Ask any question, follow Error:
This model's maximum context length is 4097 tokens, however you requested 5762 tokens (5506 in your prompt; 256 for the completion). Please reduce your prompt; or completion length.

Not sure why I'm getting this error?
ImportError: cannot import name 'faq' from partially initialized module 'knowledge_gpt.components.sidebar' (most likely due to a circular import) (C:\Users\xxx\OneDrive\Documents\GitHub\knowledge_gpt\knowledge_gpt\components\sidebar.py)
Traceback:
File "C:\Users\xxx\OneDrive\Documents\GitHub\knowledge_gpt.venv\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.dict)
File "C:\Users\xxx\OneDrive\Documents\GitHub\knowledge_gpt\knowledge_gpt\main.py", line 4, in
from knowledge_gpt.components.sidebar import sidebar
File "C:\Users\xxx\OneDrive\Documents\GitHub\knowledge_gpt\knowledge_gpt\components\sidebar.py", line 3, in
from knowledge_gpt.components.sidebar import faq

Rate limit reached for default-global-with-image-limits in organization org-ks3x7KSLAWTqCJv1Yq9x3FmZ on requests per min. Limit: 60.000000 / min. Current: 80.000000 / min. Contact [email protected] if you continue to have issues.

how can I prevent triggle the limit?

Thanks

Getting an error message
"Error running app. If this keeps happening, please contact support."

Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

Should I change st.cache and st.experimental_memo? When I try with st.cache_data raises an error for an unexpected argument: "allow_output_mutation=True"

I wonder is it any way that can store for permanently, no need uploade when refreshed.

With the release of gpt-4 via the API there can be a parameter passed for model specifying gpt-3.5-turbo or gpt-4; however the current qa.py expects model to be debug or opanai

How to change support to Azure OpenIA?

I recently posted an issue titled "Over resource limits on Streamlit Cloud." but now the website just says, "Oh no. Error running app." Please solve this issue.

Now all vector index only temporary. Can we make an options to save it to our local storage or another vector index like pinecone ?

For reviewing confidential documents, we'd prefer to use our own APIs, either view oobabooga or koboldcpp. Is there the possibility of including options for using alternate APIs, including local or Claude?