https://github.com/saimoulibandari/simbagpt
This repository showcases a Streamlit-based application that leverages Langchain and Ollama to interact with a locally hosted large language model (LLM)
https://github.com/saimoulibandari/simbagpt
langchain langchain-python llama llama3-8b llm python3 streamlit
Last synced: 2 months ago
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This repository showcases a Streamlit-based application that leverages Langchain and Ollama to interact with a locally hosted large language model (LLM)
- Host: GitHub
- URL: https://github.com/saimoulibandari/simbagpt
- Owner: SaimouliBandari
- License: mit
- Created: 2024-12-18T14:07:27.000Z (over 1 year ago)
- Default Branch: chat-bot
- Last Pushed: 2024-12-23T18:29:06.000Z (over 1 year ago)
- Last Synced: 2025-04-11T01:54:30.105Z (about 1 year ago)
- Topics: langchain, langchain-python, llama, llama3-8b, llm, python3, streamlit
- Language: Python
- Homepage:
- Size: 323 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## SimbaGPT
This repository contains the code for a Streamlit application that interacts with a local Llama model using Langchain-Ollama.
**Installation:**
1. Clone the repository: `git clone https://github.com/SaimouliBandari/SimbaGPT.git`
2. Create a virtual environment: `python3 -m venv venv`
3. Activate the virtual environment:
* windown `venv/Scripts/activate`
* mac/linux `source venv/bin/activate`
4. Install dependencies: `pip install -r requirements.txt`
**Running the App:**
1. Run the Streamlit app: `streamlit run app.py`
**Note:**
* Ensure you have a local Llama model installed and the path in the code is correctly configured.
* Adjust the prompt templates and configurations as needed for your specific use case.