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Repo of the code from the Medium article

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- BridgingtheGap.pdf
- document.md
- OneMinuteManagers.pdf
- PLC.pdf
- TimerOnDelay.pdf
- README.md
db_loading.py
LICENSE
my_knowledge_qna.py
my_langchain.py
pygpt4all_test.py
README.md
requirements.txt

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# GPT4All_Medium
Repo of the code from the Medium article

---
## Update and bug fixes - 2023.06.05
The ggml-model-q4_0.bin model has been changed a lot in the past weeks. It may throw you an error when trying even to load it. 
You can use a different embeddings for the creation of the Vector indexing (and in this case you don't need to load ggml-model-q4_0.bin)
Here how to proceed: 
Remove the call to that model, and replace the embeddings with the Hugging Face ones: remember to import them with 
```python
from langchain.embeddings import HuggingFaceEmbeddings
# assign the path for the 2 models GPT4All and Alpaca for the embeddings 
gpt4all_path = './models/gpt4all-converted.bin' 
## REMOVED ## llama_path = './models/ggml-model-q4_0.bin' 
# Calback manager for handling the calls with the model
callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
# create the embedding object
## REMOVED ## embeddings = LlamaCppEmbeddings(model_path=llama_path)
embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')
# create the GPT4All llm object
llm = GPT4All(model=gpt4all_path, callback_manager=callback_manager, verbose=True)
```
Create the vector index with these embeddings

## Update and bug fixes - 2023.05.30
- [x] llama.cpp: loading model from ./models/ggml-model-q4_0.bin 'std::runtime_error' what(): unexpectedly reached end of file

Buğra Çakır reported an issue, running the code on Python 3.11.3 (main, May 24 2023, 00:00:00) [GCC 13.1.1 20230511 (Red Hat 13.1.1-2)] on linux 
He solved the issue installing a different llama-cpp-python version with
```
pip install llama-cpp-python==0.1.48
```

## Update and bug fixes - 2023.05.25
- [x] Cannot install llama-cpp-python

This happens usually only on Windows users. Running the installation of llama-cpp-python, required by 
LangChain with the llamaEmbeddings, on windows CMake C complier is not installed by default, so you cannot build from source. 
On Mac Users with Xtools and on Linux, usually the C complier is already available on the OS. 
To avoid the issue you MUST use pre complied wheel. 
Go here [https://github.com/abetlen/llama-cpp-python/releases](https://github.com/abetlen/llama-cpp-python/releases) 
and look for the complied wheel for your architecture and python version - **you MUST take Weels Version 0.1.49** 
because higher versions are not compatible.

In my case I have Windows 10, 64 bit, python 3.10 
so my file is llama_cpp_python-0.1.49-cp310-cp310-win_amd64.whl

## Troubleshooting Section
**Update and bug fixes - 2023.05.23** 
- [x] Some readers faces an issue with `langchain.callbacks` 
```
ImportError: cannot import name 'CallbackManager' from 'langchain.callbacks.base' 
on the line importing CallbackManager in my_langchain.py.
```
- [x] Michal Founě solved it follwing the issue as described in https://github.com/hwchase17/chat-langchain/issues/70 with
`pip install langchain==0.0.142` 
 
- [x] On the GitHub repo there is already an issue solved related to `GPT4All' object has no attribute '_ctx'`. Fixed specifying the versions during pip install like this:

```
pip install pygpt4all==1.0.1 
pip install pygptj==1.0.10 
pip install pyllamacpp==1.0.6
```

- [x] Another quite common issue is related to readers using **Mac with M1 chip**. The arm64 architecture is a little reluctant to work. As suggested to Emile Pretorius and to Yosef Agung Wicaksono you can try to fix it with the guidelines in this document https://docs.google.com/document/d/1JDMBTOjbRtJo49z1SKEnvfG1a4JQMjWFT7hvfZZU4vQ/edit . 
it seems to have worked with them. 
- [x] Bruce Wen suggested to avoid all the problems mentioned above giving already all the versions in the code: all the pip instructions are now updated. 
- [x] BEpshtein suggested to update the article and the Github repo: keep reporting the issues and I will try to reply including the smart troubleshooting of the readers. 
- [x] geert van kempen got the following issue:
```
File "/Users/XXXX/GPT4ALL_gvk/.venv/lib/python3.10/site-packages/pyllamacpp/model.py", line 402, in __del__
if self._ctx:
AttributeError: 'GPT4All' object has no attribute '_ctx'
```
He was using pygpt4all version 1.1.0, and pygptj 2.0.3 (and he was using version 1.0.6 of pyllamaccp) and he solved it with the GitHub solved Issue (see above). 
- [x] Norman Procope and Kon16ov got problems loading the pdfs from my GitHub repo. It was solved downloading again the pdf or checking if UTF-8 format was used or not: fixed with decoding `text = text.decode()` 
- [x] Alain Uro and other users got an error on the `pygtp4all callbacks`. As greatly explained and solved by **Rajneesh Aggarwal** this happens because the pygpt4all PyPI package will no longer by actively maintained and the bindings may diverge from the GPT4All model backends. He solved it installing instead of pygtp4all `pip install gpt4all` 
The code must be changed as well as follows:
```
import gpt4all
model_path = '.\models'
model = gpt4all.GPT4All(model_name='gpt4all-converted.bin', model_path=model_path, model_type='llama', allow_download=True)
model.generate("Once upon a time, ", streaming=True)
```
- [x] Shamik Dhar also had an issue with the new_text_callback.
```
def new_text_callback(text):
print(text, end="")
model = GPT4All('./models/gpt4all-converted.bin')
model.generate("Once upon a time, ", n_predict=55, new_text_callback=new_text_callback)
I am getting an error here that there is no argument in 
the generate module of name new_text_callback
```
It was solved by Oscar Jeong changing the code generate() to `cpp_generate()` as follows:
```
# Just change generate() to cpp_generate() then it works.
def new_text_callback(text):
print(text, end="")
model = GPT4All('./models/gpt4all-converted.bin')
model.cpp_generate("Once upon a time, ", n_predict=55, new_text_callback=new_text_callback)
```

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