Skip to content

SinchanaKumara/Chatbot_with_LLM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

Chatbot_with_LLM

Domain selection:

Domain: Healthcare

User Base: Patients

Application Purpose: Assist patients by providing reliable information on health-related questions, symptoms, medications, and wellness advice.

Scope of Queries: Handles questions about symptoms and conditions, medications, diet and nutrition, preventive care, chronic disease management, mental health, and appointment scheduling.

Setting up and running the chatbot application:

Step 1: Download and Run Ollama

Download Ollama

Visit the Ollama website and download the latest version of Ollama suitable for your operating system.

Run Ollama gemma:2b

Once installed, run Ollama gemma:2b on your local machine. Ensure it is configured to run on localhost:11434

Step 2: Set Up and Run Streamlit Code

Install Streamlit

If you haven't installed Streamlit yet, you can do so using pip: pip install streamlit.

Streamlit Chatbot Code

Create a new Python file chatbot.py and add the source code.

Run the Streamlit Application

Run the Streamlit app from the terminal: streamlit run app.py

Questions asked to the model:

  1. What could be the cause of a persistent headache and dizziness?
  2. Can I take ibuprofen and acetaminophen together for pain relief?
  3. What are some healthy foods to include in my diet if I have high blood pressure?
  4. How often should I get a mammogram if I’m over 40?
  5. What lifestyle changes can help manage type 2 diabetes effectively?

Youtube link for setting up the model and running the chatbot:

https://youtu.be/ENsIWzSfnbE

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages