src/app.py

import gradio as gr
from dotenv import load_dotenv

from utils import get_result_description, to_title_case, to_snake_case, load_command_line_args, get_messages
load_command_line_args()
load_dotenv()
import json
from model import generate_text, get_prompt
from logger import logger
import os 
from gradio_modal import Modal

catalog = {}

with open('catalog.json') as f:
    logger.debug('Loading catalog from json.')
    catalog = json.load(f)

def update_selected_test_case(button_name, state: gr.State, event: gr.EventData):
    target_sub_catalog_name, target_test_case_name = event.target.elem_id.split('---')
    state['selected_sub_catalog'] = target_sub_catalog_name
    state['selected_criteria_name'] = target_test_case_name
    state['selected_test_case'] = [t for sub_catalog_name, sub_catalog in catalog.items() for t in sub_catalog if t['name'] == to_snake_case(button_name) and to_snake_case(sub_catalog_name) == target_sub_catalog_name][0]
    return state

def on_test_case_click(state: gr.State):
    selected_sub_catalog = state['selected_sub_catalog']
    selected_criteria_name = state['selected_criteria_name']
    selected_test_case = state['selected_test_case']
    logger.debug(f'Changing to test case "{selected_criteria_name}" from catalog "{selected_sub_catalog}".')
    return {
        test_case_name: f'<h2>{to_title_case(selected_test_case["name"])}</h2>',
        criteria: selected_test_case['criteria'],
        context: gr.update(value=selected_test_case['context'], visible=True) if selected_test_case['context'] is not None else gr.update(visible=False, value=''),
        user_message: gr.update(value=selected_test_case['user_message'], interactive=True, elem_classes=['input-box']) if selected_sub_catalog != 'harmful_content_in_assistant_response' else gr.update(value=selected_test_case['user_message'], interactive=False, elem_classes=['read-only', 'input-box']),
        assistant_message: gr.update(value=selected_test_case['assistant_message'], visible=True) if selected_test_case['assistant_message'] is not None else gr.update(visible=False, value=''),
        result_text: gr.update(visible=False, value='')
    }

def change_button_color(event: gr.EventData):
    return [gr.update(elem_classes=['catalog-button', 'selected']) if v.elem_id == event.target.elem_id else gr.update(elem_classes=['catalog-button']) for c in catalog_buttons.values() for v in c.values()]

def on_submit(criteria, context, user_message, assistant_message, state):
    criteria_name = state['selected_criteria_name']
    test_case = {
        'name': criteria_name,
        'criteria': criteria,
        'context': context,
        'user_message': user_message,
        'assistant_message': assistant_message
    }

    messages = get_messages(test_case=test_case, sub_catalog_name=state['selected_sub_catalog'])
    
    logger.debug(f"Starting evaluation for subcatelog {state['selected_sub_catalog']} and criteria name {state['selected_criteria_name']}")
    
    result_label = generate_text(messages=messages, criteria_name=criteria_name)['assessment'] # Yes or No

    html_str = f"<p>{get_result_description(state['selected_sub_catalog'], state['selected_criteria_name'])} <strong>{result_label}</strong></p>"
    # html_str = f"{get_result_description(state['selected_sub_catalog'], state['selected_criteria_name'])} {result_label}"
    return gr.update(value=html_str)

def on_show_prompt_click(criteria, context, user_message, assistant_message, state):
    criteria_name = state['selected_criteria_name']
    test_case = {
        'name': criteria_name,
        'criteria': criteria,
        'context': context,
        'user_message': user_message,
        'assistant_message': assistant_message
    }

    messages = get_messages(test_case=test_case, sub_catalog_name=state['selected_sub_catalog'])
    prompt = get_prompt(messages, criteria_name)
    prompt = prompt.replace('<', '&lt;').replace('>', '&gt;').replace('\\n', '<br>')
    return gr.Markdown(prompt)

ibm_blue = gr.themes.Color(
    name="ibm-blue",
    c50="#eff6ff",
    c100="#dbeafe",
    c200="#bfdbfe",
    c300="#93c5fd",
    c400="#60a5fa",
    c500="#0F62FE",
    c600="#2563eb",
    c700="#1d4ed8",
    c800="#1e40af",
    c900="#1e3a8a",
    c950="#1d3660"
)

head_style = """
<style>
    @media (min-width: 1536px)
    {
        .gradio-container {
            max-width: 1124px !important;
        }
    }
    @media (min-width: 1024px)
    {
        .gradio-container {
            max-width: 1124px !important;
        }
    }
</style>
"""

with gr.Blocks(
        title='Granite Guardian',
        theme=gr.themes.Soft(
            primary_hue=ibm_blue,
        font=[gr.themes.GoogleFont("IBM Plex Sans"), gr.themes.GoogleFont('Source Sans 3')],
        ),
        head=head_style,
        fill_width=False,
        css=os.path.join(os.path.dirname(os.path.abspath(__file__)), 'styles.css')
    ) as demo:

    state = gr.State(value={
        'selected_sub_catalog': 'harmful_content_in_user_prompt',
        'selected_criteria_name': 'general_harm'
    })

    starting_test_case = [t for sub_catalog_name, sub_catalog in catalog.items() for t in sub_catalog if t['name'] == state.value['selected_criteria_name'] and sub_catalog_name == state.value['selected_sub_catalog']][0]
    
    with gr.Row(elem_classes='header-row'):
        with gr.Column(scale=4):
            gr.HTML('<h2>IBM Granite Guardian 3.0</h2>', elem_classes='title')
            gr.HTML(elem_classes='system-description', value='<p>Granite Guardian models are specialized language models in the Granite family that can detect harms and risks in generative AI systems. They can be used with any large language model to make interactions with generative AI systems safe. Select an example in the left panel to see how the Granite Guardian model evaluates harms and risks in user prompts, assistant responses, and for hallucinations in retrieval-augmented generation. In this demo, we use granite-guardian-3.0-8b.</p>')
    with gr.Row(elem_classes='column-gap'):
        with gr.Column(scale=0, elem_classes='no-gap'):
            title_display_left = gr.HTML("<h2>Harms & Risks</h2>", elem_classes=['subtitle', 'subtitle-harms'])
            accordions = []
            catalog_buttons: dict[str,dict[str,gr.Button]] = {}
            for i, (sub_catalog_name, sub_catalog) in enumerate(catalog.items()):
                with gr.Accordion(to_title_case(sub_catalog_name), open=(i==0), elem_classes='accordion') as accordion:
                    for test_case in sub_catalog:
                        elem_classes=['catalog-button']
                        elem_id=f"{sub_catalog_name}---{test_case['name']}"
                        if starting_test_case == test_case:
                            elem_classes.append('selected')

                        if not sub_catalog_name in catalog_buttons:
                            catalog_buttons[sub_catalog_name] = {}

                        catalog_buttons[sub_catalog_name][test_case['name']] = \
                            gr.Button(to_title_case(test_case['name']), elem_classes=elem_classes, variant='secondary', size='sm', elem_id=elem_id)
                        
                    accordions.append(accordion)

        with gr.Column(visible=True, scale=1) as test_case_content:
            with gr.Row(elem_classes='no-stretch'):
                test_case_name = gr.HTML(f'<h2>{to_title_case(starting_test_case["name"])}</h2>', elem_classes='subtitle')
                show_propt_button = gr.Button('Show prompt', size='sm', scale=0, min_width=110)

            criteria = gr.Textbox(label="Evaluation Criteria", lines=3, interactive=False, value=starting_test_case['criteria'], elem_classes=['read-only', 'input-box', 'margin-bottom'])
            gr.HTML(elem_classes=['block', 'content-gap'])
            context = gr.Textbox(label="Context", lines=3, interactive=True, value=starting_test_case['context'], visible=False, elem_classes=['input-box'])
            user_message = gr.Textbox(label="User Prompt", lines=3, interactive=True, value=starting_test_case['user_message'], elem_classes=['input-box'])
            assistant_message = gr.Textbox(label="Assistant Response", lines=3, interactive=True, visible=False, value=starting_test_case['assistant_message'], elem_classes=['input-box'])

            submit_button = gr.Button(
                "Evaluate", 
                variant='primary',
                icon=os.path.join(os.path.dirname(os.path.abspath(__file__)), 'send-white.png'),
                elem_classes='submit-button')
            
            # result_text = gr.HTML(label='Result', elem_classes=['result-text', 'read-only', 'input-box'], visible=False, value='')
            result_text = gr.HTML(
                label='Result',
                elem_classes=['result-root'],
                show_label=True,
                visible=False,
                value='')

            with Modal(visible=False, elem_classes='modal') as modal:
                prompt = gr.Markdown('')

    
    ### events

    show_propt_button.click(
        on_show_prompt_click,
        inputs=[criteria, context, user_message, assistant_message, state],
        outputs=prompt
    ).then(lambda: gr.update(visible=True), None, modal)

    submit_button \
        .click(lambda: gr.update(visible=True, value=''), None, result_text) \
        .then(
            on_submit,
            inputs=[criteria, context, user_message, assistant_message, state],
            outputs=[result_text],
            scroll_to_output=True
        )
      
    for button in [t for sub_catalog_name, sub_catalog_buttons in catalog_buttons.items() for t in sub_catalog_buttons.values()]:
        button \
            .click(
                change_button_color,
                inputs=None,
                outputs=[v for c in catalog_buttons.values() for v in c.values()]) \
            .then(
                update_selected_test_case,
                inputs=[button, state],
                outputs=[state]) \
            .then(
                on_test_case_click,
                inputs=state,
                outputs={test_case_name, criteria, context, user_message, assistant_message, result_text})
    
demo.launch(server_name='0.0.0.0')