app.py

import os
import time
import logging
from collections import OrderedDict
import streamlit as st
logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)


class App:
    def __init__(self):
        st.set_page_config(page_title="Azure A.I. Demo Gallery", page_icon="src/assets/img/logo.png", layout="wide", initial_sidebar_state="auto")
        if "last_modified" not in st.session_state:
            st.session_state.update({
                "last_modified": time.strftime('%d/%m/%Y', time.gmtime(os.path.getmtime(os.path.basename(__file__))))
            })

    def _get_source_code(self, script_name):
        file = open("src/assets/scripts/" + script_name + '.py', "r")
        content = file.read()
        return content

    def main(self):
        topic_demo = OrderedDict([
                            ('Language', OrderedDict([('Language Detection','lang_detect'),
                                                      ('Key Phrase Extraction','key_phrases'),
                                                      ('Entity Extraction','entity_extraction'),
                                                      ('Entity Linking','entity_linking'),
                                                      ('Sentiment Analysis','sentiment_analysis'),
                                                      ("Text Translation", "text_translation"),
                                                      ("Text to Speech", "text_to_speech"),
                                                      ("Speech to Text", "speech_to_text"),
                                                      ("Speech to Speech", "speech_to_speech")])),
                            ('Computer Vision', OrderedDict([("Image Analysis", "image_analysis"),
                                                             ("Face Analysis", "face_analysis"),
                                                             ("Simple OCR", "simple_ocr"),
                                                             ("Complex OCR", "complex_ocr")])),
                            ('Prediction', OrderedDict([("Classification", "classification"),
                                                        ("Regression", "regression")]))
                      ])

        with st.sidebar:
            st.title("Gallery")
            show_source_code = st.checkbox("Show Source Code", False)

            selected_topic = st.sidebar.selectbox(
                "Select Topic",
                options=topic_demo.keys()
            )
            
            demo = topic_demo[selected_topic]
            selected_demo = st.sidebar.selectbox(
                "Select Demo",
                options=demo
            )
            
            st.sidebar.title("About")
            st.sidebar.info(
                "This app demonstrates a variety of Azure A.I. services in the domains of language & vision.\n\n"
                "Please note the app consumes compute from my own Azure sub, so it is downscaled each evening to reduce costs.\n\n"
                "Check the code at https://github.com/corticalstack/azure-ai-demo-gallery\n\n"
                "Developed by Jon-Paul Boyd. \n\n"
                "This is a work in progress. Further Azure A.I. examples will be continuously added.\n\n"
                "Last modified: {}".format(st.session_state.last_modified)
            )

        python_code = self._get_source_code(demo[selected_demo])
        if python_code is not None:
            st.header(selected_demo)
            try:
                with st.spinner(f"Loading {selected_demo} ..."):
                    exec(python_code, globals()) 
            except Exception as exception: 
                st.write("Error occurred when executing [{0}]".format(selected_demo))
                st.error(str(exception))
                logging.error(exception)
            if show_source_code:
                st.write("\n")
                st.subheader("Source code")
                st.code(python_code, language='python')


if __name__ == "__main__":
    app = App()
    app.main()