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Running
on
Zero
File size: 5,184 Bytes
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from typing import cast
import gradio as gr
from dotenv import load_dotenv
import json
from generate import generate_text, get_prompt_from_test_case
load_dotenv()
catalog = {}
all_test_cases = []
with open('catalog.json') as f:
catalog = json.load(f)
starting_test_case = [t for sub_catalog_name, sub_catalog in catalog.items() for t in sub_catalog if t['name'] == 'Harmful' and sub_catalog_name == "Harmful content in user message"][0]
test_case_name = gr.HTML(f'<h2>{starting_test_case["name"]}</h2>')
criteria = gr.Textbox(label="Definition", lines=3, interactive=False, value=starting_test_case['criteria'])
context = gr.Textbox(label="Context", lines=3, interactive=True, value=starting_test_case['context'], visible=False)
user_message = gr.Textbox(label="User Message", lines=3, interactive=True, value=starting_test_case['user_message'])
assistant_message = gr.Textbox(label="Assistant Message", lines=3, interactive=True, value=starting_test_case['assistant_message'])
catalog_buttons: dict[str,dict[str,gr.Button]] = {}
for sub_catalog_name, sub_catalog in catalog.items():
catalog_buttons[sub_catalog_name] = {}
for test_case in sub_catalog:
elem_classes=['catalog-button']
elem_id=f"{sub_catalog_name}_{test_case['name']}"
if elem_id == "Harmful content in user message_Harmful":
elem_classes.append('selected')
catalog_buttons[sub_catalog_name][test_case['name']] = \
gr.Button(test_case['name'], elem_classes=elem_classes, variant='secondary', size='sm', elem_id=elem_id)
# watsonx_api_url = os.getenv("WATSONX_URL", None)
# watsonx_project_id = os.getenv("WATSONX_API_KEY", None)
# watsonx_api_key = os.getenv("WATSONX_PROJECT_ID", None)
# client = APIClient(credentials={
# "url": watsonx_api_url,
# "project_id": watsonx_project_id,
# "api_key": watsonx_api_key
# })
# model = ModelInference(model_id=ModelTypes.LLAMA_3_8B_INSTRUCT, api_client=client)
# client.set.default_project(watsonx_project_id)
# bam_api_url = os.getenv("BAM_URL", None)
# bam_api_key = os.getenv("BAM_API_KEY", None)
# client = Client(credentials=Credentials(api_endpoint=bam_api_url, api_key=bam_api_key ))
def on_test_case_click(link):
selected_test_case = [t for sub_catalog in catalog.values() for t in sub_catalog if t['name'] == link][0]
return {
test_case_name: f'<h2>{selected_test_case["name"]}</h2>',
criteria: selected_test_case['criteria'],
context: selected_test_case['context'] if selected_test_case['context'] is not None else gr.update(visible=False),
user_message: selected_test_case['user_message'],
assistant_message: selected_test_case['assistant_message'],
}
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(inputs):
prompt = get_prompt_from_test_case({
'criteria': inputs[criteria],
'context': inputs[context],
'user_message': inputs[user_message],
'assistant_message': inputs[assistant_message],
})
result = generate_text(prompt)
return result['assessment'], result['certainty']
with gr.Blocks(
theme=gr.themes.Soft(font=[gr.themes.GoogleFont("IBM Plex Sans")]), css='styles.css') as demo:
with gr.Row():
gr.HTML('<h1>Granite Guardian</h1>', elem_classes='title')
with gr.Row():
with gr.Column(scale=0):
title_display_left = gr.HTML("<h2>Catalog - Harms & Risks</h2>")
accordions = []
for sub_catalog_name, sub_catalog in catalog.items():
with gr.Accordion(sub_catalog_name, open=True) as accordion:
for test_case in sub_catalog:
link = catalog_buttons[sub_catalog_name][test_case['name']]
link.render()
link.click(on_test_case_click, link, {test_case_name, criteria, context, user_message, assistant_message}) \
.then(change_button_color, None, [v for c in catalog_buttons.values() for v in c.values()])
accordions.append(accordion)
def on_accordion_open(open):
pass
with gr.Column(visible=True) as test_case_content:
test_case_name.render()
gr.HTML("Evaluation Criteria")
criteria.render()
gr.Markdown("Test Data")
context.render()
user_message.render()
assistant_message.render()
submit_button = gr.Button("Evaluate", variant='primary')
with gr.Row():
result_text = gr.Textbox(label="Result", interactive=False)
result_certainty = gr.Number(label="Certainty", interactive=False, value='')
submit_button.click(
on_submit,
inputs={test_case_name, criteria, context, user_message, assistant_message},
outputs=[result_text, result_certainty])
demo.launch()
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