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from PIL import Image |
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import json |
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import streamlit as st |
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def load_image_from_local(image_path, image_resize=None): |
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image = Image.open(image_path) |
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if isinstance(image_resize, tuple): |
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image = image.resize(image_resize) |
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return image |
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def unique_list(seq): |
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seen = set() |
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seen_add = seen.add |
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return [x for x in seq if not (x in seen or seen_add(x))] |
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def pure_comma_separation(list_str, return_list=True): |
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r = unique_list([item.strip() for item in list_str.lower().split(",") if item.strip()]) |
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if return_list: |
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return r |
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return ", ".join(r) |
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def local_css(css_path): |
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with open(css_path) as f: |
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st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True) |
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def remote_css(css_url): |
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st.markdown(f'<link href="{css_url}" rel="stylesheet">', unsafe_allow_html=True) |
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"""Basic utilities module""" |
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import requests |
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import csv |
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import re |
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def request_ct(url): |
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"""Performs a get request that provides a (somewhat) useful error message.""" |
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try: |
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response = requests.get(url) |
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except ImportError: |
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raise ImportError( |
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"Couldn't retrieve the data, check your search expression or try again later." |
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) |
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else: |
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return response |
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def json_handler(url): |
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"""Returns request in JSON (dict) format""" |
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return request_ct(url).json() |
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def csv_handler(url): |
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"""Returns request in CSV (list of records) format""" |
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response = request_ct(url) |
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decoded_content = response.content.decode("utf-8") |
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split_by_blank = re.split(r"\n\s*\n", decoded_content) |
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cr = csv.reader(split_by_blank[1].splitlines(), delimiter=",") |
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records = list(cr) |
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return records |
