app.py

import os
import gradio as gr
from utils import get_model_summary, install_flash_attn, authenticate_hf

# Install required package
install_flash_attn()

# Authenticate with Hugging Face
HF_TOKEN = os.getenv("HF_TOKEN")
authenticate_hf(HF_TOKEN)

# Define a customized theme based on the Soft theme
theme = gr.themes.Soft(
    primary_hue="blue",
    secondary_hue="green",
    neutral_hue="gray",
    spacing_size="lg",
    radius_size="sm",
    text_size="lg"
).set(
    button_primary_background_fill="*primary_500",
    button_primary_background_fill_hover="*primary_700",
    button_primary_border_radius="*radius_md"
)

# Create the Gradio Blocks interface
with gr.Blocks(theme=theme) as demo:
    with gr.Row():
        with gr.Column():
            textbox = gr.Textbox(label="Model Name", placeholder="Enter the model name here OR select example below...", lines=1)
            gr.Markdown("### Vision Models")
            vision_examples = gr.Examples(
                examples=[
                    ["google/paligemma-3b-mix-224"],
                    ["google/paligemma-3b-ft-refcoco-seg-224"],
                    ["llava-hf/llava-v1.6-mistral-7b-hf"],
                    ["xtuner/llava-phi-3-mini-hf"],
                    ["xtuner/llava-llama-3-8b-v1_1-transformers"],
                    ["vikhyatk/moondream2"],
                    ["openbmb/MiniCPM-Llama3-V-2_5"],
                    ["microsoft/Phi-3-vision-128k-instruct"],
                    ["HuggingFaceM4/idefics2-8b-chatty"],
                    ["microsoft/llava-med-v1.5-mistral-7b"]
                ],
                inputs=textbox
            )
            
            gr.Markdown("### Other Models")
            other_examples = gr.Examples(
                examples=[
                    ["dwb2023/mistral-7b-instruct-quantized"],
                    ["mistralai/Mistral-7B-Instruct-v0.2"],
                    ["mistralai/Mistral-7B-Instruct-v0.3"],
                    ["google/gemma-7b"],
                    ["microsoft/Phi-3-mini-4k-instruct"],
                    ["meta-llama/Meta-Llama-3-8B"]
                ],
                inputs=textbox
            )
            submit_button = gr.Button("Submit")
        with gr.Column():
            output = gr.Textbox(label="Model Architecture", lines=20, placeholder="Model architecture will appear here...", show_copy_button=True)
            error_output = gr.Textbox(label="Error", lines=10, placeholder="Exceptions will appear here...", show_copy_button=True)

    def handle_click(model_name):
        model_summary, error_message = get_model_summary(model_name)
        return model_summary, error_message

    submit_button.click(fn=handle_click, inputs=textbox, outputs=[output, error_output])

# Launch the interface
demo.launch()