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https://github.com/mihirkudale/end-to-end-medical-chatbot-using-llama2

generative-ai langchain llama2 medical-chatbot meta pinecone python

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Host: GitHub
URL: https://github.com/mihirkudale/end-to-end-medical-chatbot-using-llama2
Owner: mihirkudale
Created: 2024-01-22T04:14:56.000Z (12 months ago)
Default Branch: main
Last Pushed: 2024-05-12T05:55:48.000Z (8 months ago)
Last Synced: 2024-10-18T22:12:12.726Z (3 months ago)
Topics: generative-ai, langchain, llama2, medical-chatbot, meta, pinecone, python
Language: Jupyter Notebook
Homepage:
Size: 10.3 MB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

# End-to-end-Medical-Chatbot-using-Llama2

# How to run?
### STEPS:

Clone the repository

```bash
Project repo: https://github.com/mihirkudale/End-to-end-Medical-Chatbot-using-Llama2.git
```

### STEP 01- Create a conda environment after opening the repository

```bash
conda create -n mchatbot python=3.8 -y
```

```bash
conda activate mchatbot
```

### STEP 02- install the requirements
```bash
pip install -r requirements.txt
```

### Create a `.env` file in the root directory and add your Pinecone credentials as follows:

```ini
PINECONE_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
PINECONE_API_ENV = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
```

### Download the quantize model from the link provided in model folder & keep the model in the model directory:

```ini
## Download the Llama 2 Model:

llama-2-7b-chat.ggmlv3.q4_0.bin

## From the following link:
https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
```

```bash
# run the following command
python store_index.py
```

```bash
# Finally run the following command
python app.py
```

Now,
```bash
open up localhost:
```

### Techstack Used:

- Python
- LangChain
- Flask
- Meta Llama2
- Pinecone