Discord TumorBot is a Python-based Discord bot that uses a pre-trained ResNet-50 model to classify brain tumor types from uploaded images. It allows users to interact with the bot using slash commands and predict the type of tumor in medical images.

• Slash commands for interacting with the bot.
• Predict the type of brain tumor from uploaded medical images.
• Greet users and respond to simple commands.

Before running the bot, make sure you have the following dependencies installed:

• Python 3.8
• Discord.py library
• PyTorch and torchvision (CPU-compatible versions)
• Pillow (PIL)
• Other necessary libraries (check requirements.txt)

You can install the required packages using the provided requirements.txt file.

1. Clone this repository to your local machine:

   git clone https://github.com/devchaitanya/discord-tumorbot.git

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use: venv\Scripts\activate

3. Install the required packages:

   pip install -r requirements.txt

4. Invite the Bot:

   Create a Discord bot on the Discord Developer Portal and invite it to your server.

5. Create a .env file in the root directory of the project and add your Discord bot token:

   DISCORD_TOKEN=your_discord_bot_token
   

6. Load the model:

   Download the trained model from here MODEL

   Make sure you have the ResNet-50 model weights saved in the correct location (DiscordBot/models/bt_resnet50_model.pt) or modify the path accordingly.

7. Run the bot:

   python discord_bot.py

• Use the /predict command in your Discord server to upload a medical image and receive the predicted brain tumor type.