QA-your-data

install

python3 -m venv he_qa
source he_qa/bin/activate
pip install -r requirements.txt

Download moodel

usinng GPT4all:

downlad https://gpt4all.io/index.html
insntall
downlad from the UI, mistral-7B-Instruct-v0.1
change the modle path in code ->

#fileQa.py
model_path="/Users/admin/Library/Application Support/nomic.ai/GPT4All/mistral-7b-instruct-v0.1.Q4_0.gguf"

mistralai/Mistral-7B-Instruct-v0.1

wget https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-Instruct-v0.1.tar
tar -xf mistral-7B-v0.1.tar

run app.py - each run will take all Hebrew_reports.csv transalte and embbed

python3 app.py load # for load data and preform sematic search
python3 app.py just sematic search on persist data in /data

run UI -

streamlit run main.py --logger.level debug

eamples

ספר לי על האירועים בבסיס בברמינגטון תאר לי את החשוד מי שלח אותו לבסיס

ssh

ssh ec2-user@10.3.19.11 -L 2222:10.3.19.11:22
scp -P 2222 ~/Code/QA-your-data ec2-user@localhost:

turnnnlingn

aws --profile General-Admin-PS-127977499263 ssm start-session --target i-081a949ee752c7450 --document-name AWS-StartPortForwardingSessionToRemoteHost --parameters host="localhost",portNumber="80",localPortNumber="80"

curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{ "id" : "mistral" }'

curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "mistral", "messages": [{"role": "user", "content": "How are you?"}], "temperature": 0.9 }'

To convert the langchain-chat-app service definition from a docker-compose.yml file to a docker run command, you'll need to translate each of the Compose file directives into their docker run command equivalent.

Here is what the docker run command would look like for your service:

docker run -d --name redis
-p 6379:6379
--network="host"
redis/redis-stack:latest
redis-server

docker run -d --name langchain-chat-app
-p 8000:8000
-v "$(pwd)/models/:/models/"
--network="host"
-e REDIS_URL=redis://localhost:6379
-e REDIS_COLLECTION=reports
-e MODEL_PATH=/models/mistral-7B-v0.1/mistral-7b-instruct-v0.1.Q4_0.gguf
langchain-chat-app:latest
chainlit run main_chainlid.py

docker run --rm -it -p 8000:8000 \
-e DEFAULT_MODEL_HG_REPO_ID="TheBloke/Mistral-7B-Instruct-v0.1-GGUF"
-e DEFAULT_MODEL_FILE="mistral-7b-instruct-v0.1.Q4_0.gguf"
ghcr.io/chenhunghan/ialacol:latest

leeofri / QA-your-data