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import os
import gradio as gr
import yaml
import json
from pathlib import Path
from compliance_analysis import check_overall_compliance
# def process_files(files):
# results = []
# for file in files:
# with open(file.name, 'r') as f:
# content = f.read()
# if Path(file.name).name == "project_cc.yaml":
# project_cc_yaml = yaml.safe_load(content)
# msg = run_compliance_analysis_on_project(project_cc_yaml)
# results.append(msg)
# # if Path(file.name).name == "data_cc.yaml":
# # data_cc_yaml = yaml.safe_load(content)
# # msg = run_compliance_analysis_on_data(data_cc_yaml)
# # results.append(msg)
# # if Path(file.name).name == "model_cc.yaml":
# # model_cc_yaml = yaml.safe_load(content)
# # msg = run_compliance_analysis_on_model(model_cc_yaml)
# # results.append(msg)
# return results
# def extract_properties(files):
# for file in files:
# with open(file.name, 'r') as f:
# content = f.read()
# project_cc_yaml = yaml.safe_load(content)
# project_cc = [key for key in project_cc_yaml]
# return project_cc
# def sentence_builder(countries):
# return f"{countries}"
# # # Gradio interface
# with gr.Blocks() as demo:
# file_input = gr.File(label="Upload Files", file_count="multiple")
# output = gr.Textbox(label="Output", lines=10)
# submit_button = gr.Button("Process Files")
# submit_button.click(process_files, inputs=file_input, outputs=output)
# # Create the CheckboxGroup (initially empty)
# checkbox_group = gr.CheckboxGroup(choices=[], label="", interactive=True)
# # Create the output Textbox
# output = gr.Textbox()
# # Function to update the CheckboxGroup when files are uploaded
# def update_checkboxes(files):
# choices = extract_properties(files)
# return gr.CheckboxGroup(choices=choices, label="", interactive=True)
# # Create a Button to trigger the sentence builder
# submit_button = gr.Button("Submit")
# # Set up the interaction for file input and updating checkboxes
# file_input.change(update_checkboxes, inputs=file_input, outputs=checkbox_group)
# gr.CheckboxGroup.change(update_checkboxes)
# output = gr.Textbox()
# submit_button = gr.Button("Submit")
# submit_button.click(sentence_builder, inputs=checkbox_group, outputs=output)
# if __name__ == "__main__":
# demo.launch()
import streamlit as st
import yaml
from pathlib import Path
import pandas as pd
def load_data(files):
cards = []
for file in files:
content = file.read().decode("utf-8")
if Path(file.name).name == "project_cc.yaml":
project_cc_yaml = yaml.safe_load(content)
data = project_cc_yaml
card_type = "project"
cards.append((card_type, data))
if Path(file.name).name == "data_cc.yaml":
data_cc_yaml = yaml.safe_load(content)
data = data_cc_yaml
card_type = "data"
cards.append((card_type, data))
if Path(file.name).name == "model_cc.yaml":
model_cc_yaml = yaml.safe_load(content)
data = model_cc_yaml
card_type = "model"
cards.append((card_type, data))
return cards
# def process_files(files):
# results = []
# for file in files:
# content = file.read().decode("utf-8")
# if Path(file.name).name == "project_cc.yaml":
# project_cc_yaml = yaml.safe_load(content)
# if project_cc_yaml:
# msg = run_compliance_analysis_on_project(project_cc_yaml)
# results.append(msg)
# return results
# def process_files(data):
# results = []
# msg = run_compliance_analysis_on_project(yaml.safe_load(data))
# results.append(msg)
# return results
# def extract_properties(data):
# flattened_data = []
# for category, items in data.items():
# for item, attributes in items.items():
# flattened_data.append({
# "Category": category,
# "Item": item,
# "Verbose": attributes["verbose"],
# "Value": attributes["value"]
# })
# df = pd.DataFrame(flattened_data)
# return df
def gather_cards(files):
cards = {}
cards['project_file'] = ''
cards['data_files'] = []
cards['model_files'] = []
for file in files:
file_path = os.path.join('/tmp', file.name)
with open(file_path, 'wb') as f:
f.write(file.getbuffer())
with open(file_path, 'r') as file_path:
content = yaml.safe_load(file_path.read())
if content['card_type'] == 'project':
cards['project_file'] = file_path.name
if content['card_type'] == "data":
cards['data_files'].append(file_path.name)
if content['card_type'] == "model":
cards['model_files'].append(file_path.name)
return cards
def compliance_analysis(cards):
results = []
dispositive_variables = check_overall_compliance(cards)
results.append(dispositive_variables)#['msg'])
return results
# Streamlit app
# st.set_page_config(page_title="AI", layout="wide")
# st.markdown(
# """
# <style>
# [data-testid="stSidebar"][aria-expanded="true"] > div:first-child{
# width: 600px;
# }
# [data-testid="stSidebar"][aria-expanded="false"] > div:first-child{
# width: 600px;
# margin-left: -400px;
# }
# """,
# unsafe_allow_html=True,
# )
st.title("AI")
uploaded_files = st.file_uploader("Upload YAML Files", type="yaml", accept_multiple_files=True)
# project_files = st.file_uploader("Upload Project Files", type="yaml", accept_multiple_files=True)
if uploaded_files:
cards = load_data(uploaded_files)
for card in cards:
data = card[1]
if data != None:
st.title("Compliance Checkboxes")
st.title(f"{card[0]}")
for section, items in data.items():
if section != 'card_type':
st.header(section.replace('_', ' ').title()) # section header
for key, details in items.items():
if 'verbose' in details and 'value' in details:
st.subheader(key.replace('_', ' ').title()) # section header
# details['value'] = st.checkbox(details['verbose'], value=details['value'])
if isinstance(details['value'], str):
details['value'] = st.text_input(details['verbose'], value=details['value'])
elif isinstance(details['value'], bool):
details['value'] = st.checkbox(details['verbose'], value=details['value'])
if 'verbose' not in details and 'value' not in details:
st.subheader(key.replace('_', ' ').title()) # section header
for key, details in details.items():
st.subheader(key.replace('_', ' ').title()) # section header
details['value'] = st.checkbox(details['verbose'], value=details['value'])
st.divider()
st.divider()
# st.write("Updated Data:", data)
yaml_data = yaml.dump(data, sort_keys=False)
# st.download_button(
# label=f"Download Updated Data as YAML{card[0]}",
# data=yaml_data,
# file_name="updated_data.yaml",
# mime="text/yaml"
# )
# json_data = json.dumps(data, indent=2)
# st.download_button(
# label="Download Updated Data as JSON",
# data=json_data,
# file_name="updated_data.json",
# mime="application/json"
# )
cards = gather_cards(uploaded_files)
if st.button(f"Run Analysis"):
results = compliance_analysis(cards)
# st.text_area("Analysis Results", value=json.dumps(results, indent=4), height=600)
st.write("Analysis Results", results) |