priyamakeshwari / teachgpt Goto Github PK

Add FAISS support to store and make a retrieval QA system . Allowing users to choose their respective database

Create a chat interface for this , Similar to chatgpt UI

Update the load_model() function to load huggingface models

Fix bug caused

Add TSV loader to load TSV files from documents in builder.py

Add CSV loader in builder to allow reading CSV files

Is your feature request related to a problem? Please describe.
enhance readme by explaing what project do in a good manner

Describe the solution you'd like
adding contribution and code of conduct files

Additional context
Add any other context or screenshots about the feature request here.

Add TXT loader to load txt files from documents directory

Describe the bug
I am unable to run a machine learning model after installing dependencies and running the program.
To Reproduce
Install dependencies using pip: pip install -r requirements.txt
Run the program: python main.py
Wait for the program to finish running, but nothing happens and there is only silence.
Expected behavior
I expected the program to start running the machine learning model and produce output.
Screenshots
N/A
Additional context
I have also downloaded additional programs and Mistral, but nothing seems to be working.
Add any other context about the problem here.

Add Isse Template in .github folder

To add documentation for the entire code base for easy understanding and helping future contributors to understand the code easily.
The documentation should be in the formatted.

Below is the example for documenting a function.

def add(a, b):
    """
    Adds two numbers and returns the result.
    
    Args:
        a (int): The first number.
        b (int): The second number.
    
    Returns:
        int: The sum of `a` and `b`.
    """
    return a + b

Allow users to load GPT4ALL models in load_model function in main.py

Updating file in config.py file to match with all operating systems

Add PR template to have a detail PR

Add buffer memory to the chat session

Make an arg parser to parse parameters like DEVICE_TYPE and model_type in builder.py and main.py allowing users to pass in terminal itself