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import gradio as gr | |
# LICENSE.gradio.Apachev2 - @article{abid2019gradio, title = {Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild}, author = {Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfozan, Abdulrahman and Zou, James}, journal = {arXiv preprint arXiv:1906.02569}, year = {2019},} (https://github.com/gradio-app/gradio/blob/main/LICENSE) | |
# LICENSE.gemma2.Apachev2 - Copyright 2024 DeepMind Technologies Limited (https://github.com/google-deepmind/gemma/blob/main/LICENSE) | |
# Load the model | |
model_interface = gr.load("models/google/gemma-2-2b-it") | |
# Create a Gradio interface with custom title and logo | |
def main(): | |
with gr.Blocks() as demo: | |
# Add the title | |
gr.Markdown("# Gemma 2b Demo") | |
# Add the logo | |
gr.Image("orYx logo.png", elem_id="logo", show_label=False, interactive=False) | |
# Embed the model interface inside a Row | |
with gr.Row(): | |
model_interface.render() # Use render to include the prebuilt interface | |
demo.launch() | |
if __name__ == "__main__": | |
main() |