GemmaChat

Smart Chat using Gemma model via Ollama, LangChain and Chainlit

Coming up:Deployment, more feature and custom UI

Steps to Replicate

Fork this repository and create a codespace in GitHub as I showed you in the youtube video OR Clone it locally.
```
git clone https://github.com/tushar2704/GemmaChat.git
cd GemmaChat
```

Create a virtualenv and activate it

python3 -m venv .venv && source .venv/bin/activate

OPTIONAL - Rename example.env to .env with cp example.env .envand input the environment variables from LangSmith. You need to create an account in LangSmith website if you haven't already.
```
LANGCHAIN_TRACING_V2=true
LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
LANGCHAIN_API_KEY="your-api-key"
LANGCHAIN_PROJECT="your-project"
```
Run the following command in the terminal to install necessary python packages:
```
pip install -r requirements.txt
```
Run the following command in your terminal to start the chat UI:
```
chainlit run main.py
```

System Prompt used for testing

Please act as an expert in providing smart chat responses. Your responses should be friendly, simple, and jargon-free, suitable for beginners. When responding, consider using a mix of paragraphs and bullets to convey information effectively. Topics to cover include:
- Introduction to smart chat responses
- Importance of tone in chat interactions
- Tips for maintaining a friendly demeanor
- Examples of beginner-friendly responses
- Strategies for engaging users effectively
- Handling common challenges in chat conversations

- Include examples of tone variations (e.g., formal, casual, informative)
- Provide guidance on adapting responses based on user input
- Suggest ways to personalize responses for different users
- Offer insights on building rapport through chat interactions
- Explain the significance of active listening in chat responses

tushar2704/GemmaChat

GemmaChat

Steps to Replicate

System Prompt used for testing