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CentML Chat App with Gradio

This Gradio-based web app allows you to interact with the CentML Serverless API . It streams the assistant’s responses in real-time, providing a conversational interface where users can chat with an AI assistant.

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Features

  • Real-time Chat: The assistant responds in real-time to your inputs by streaming responses as they are generated.
  • Easy-to-Use Interface: The Gradio interface allows for a clean and intuitive user experience.

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Prerequisites

Before running the app, ensure that you have the following:
  1. Python 3.10+ installed on your machine.
  2. Gradio and other necessary Python libraries. You can install these via pip (see instructions below).
  3. A valid CentML API key. The API key should be stored in an environment variable called CENTML_API_KEY.

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Usage

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Docker File

  1. Docker
export CENTML_API_KEY="your-api-key-here"
docker build -t gradio-app .   
docker run -p 7860:7860 -e CENTML_API_KEY=${CENTML_API_KEY} gradio-app
  1. Open Browser

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Local

  1. Enter chat-apps/gradio directory
   cd chat-apps/gradio-centml-chat
  1. Set up a virtual environment (optional but recommended):
python -m venv venv
source venv/bin/activate
  1. Install the required dependencies:
pip install -r requirements.txt
Note: If you don’t have/can’t find a requirements.txt file, you can install the necessary libraries like this: 
pip install gradio requests
  1. Set the CentML API key as an environment variable:
export CENTML_API_KEY="your-api-key-here"
Replace “your-api-key-here” with your actual CentML API key.

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Running the App

To run the Gradio app, execute the following command: 
python app.py
This will launch a local Gradio interface in your browser. If the app doesn’t open automatically, you can access it by navigating to the URL shown in your terminal (usually http://127.0.0.1:7860/). You will also get a free 72 hour public URL to share and use from anywhere.

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Customization

  • Model: If you want to change the model or parameters such as temperature or max_tokens, you can modify the data dictionary in the send_message function in app.py.
  • UI Layout: You can adjust the layout of the interface by modifying the Gradio components in the gr.Blocks section.

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Troubleshooting

  • Error Connecting to API: If you encounter an error connecting to the CentML API, ensure that your API key is valid and set in the environment variable CENTML_API_KEY.
  • Python Version: Ensure you are using Python 3.8 or higher.
  • Dependencies: Make sure you have installed all the necessary dependencies (Gradio and Requests).