NOT ISSUE, how to run with another AI models

[jfbvm]

First of all, congrats on your great work, the code is incredibly light and powerful!!

Wel, about the models, to use another AI model is very simple, change these lines on app.py.

Select model
Change this:

from langchain.chat_models import ChatOpenAI

For this:

from langchain.chat_models import ChatOllama

Using the model
Change this:

llm=ChatOpenAI(temperature=0.2)

For this:

# Keep the temperature is important because this parameter will make your model more assertive about the documents, and don't start to create information that doesn't exist
# The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8)
llm=ChatOllama(
    temperature=0.2,
    model="llama3.2:1b"
)

Pls see below a list of possible models to use:

Model	Parameters	Size	Download
DeepSeek-R1	7B	4.7GB	ollama run deepseek-r1
DeepSeek-R1	671B	404GB	ollama run deepseek-r1:671b
Llama 3.3	70B	43GB	ollama run llama3.3
Llama 3.2	3B	2.0GB	ollama run llama3.2
Llama 3.2	1B	1.3GB	ollama run llama3.2:1b
Llama 3.2 Vision	11B	7.9GB	ollama run llama3.2-vision
Llama 3.2 Vision	90B	55GB	ollama run llama3.2-vision:90b
Llama 3.1	8B	4.7GB	ollama run llama3.1
Llama 3.1	405B	231GB	ollama run llama3.1:405b
Phi 4	14B	9.1GB	ollama run phi4
Phi 3 Mini	3.8B	2.3GB	ollama run phi3
Gemma 2	2B	1.6GB	ollama run gemma2:2b
Gemma 2	9B	5.5GB	ollama run gemma2
Gemma 2	27B	16GB	ollama run gemma2:27b
Mistral	7B	4.1GB	ollama run mistral
Moondream 2	1.4B	829MB	ollama run moondream
Neural Chat	7B	4.1GB	ollama run neural-chat
Starling	7B	4.1GB	ollama run starling-lm
Code Llama	7B	3.8GB	ollama run codellama
Llama 2 Uncensored	7B	3.8GB	ollama run llama2-uncensored
LLaVA	7B	4.5GB	ollama run llava
Solar	10.7B	6.1GB	ollama run solar