import os import re import time from pathlib import Path import requests import streamlit as st from spacy import displacy from streamlit_extras.badges import badge from streamlit_extras.stylable_container import stylable_container # RELIK = os.getenv("RELIK", "localhost:8000/api/entities") import random from relik.inference.annotator import Relik def get_random_color(ents): colors = {} random_colors = generate_pastel_colors(len(ents)) for ent in ents: colors[ent] = random_colors.pop(random.randint(0, len(random_colors) - 1)) return colors def floatrange(start, stop, steps): if int(steps) == 1: return [stop] return [ start + float(i) * (stop - start) / (float(steps) - 1) for i in range(steps) ] def hsl_to_rgb(h, s, l): def hue_2_rgb(v1, v2, v_h): while v_h < 0.0: v_h += 1.0 while v_h > 1.0: v_h -= 1.0 if 6 * v_h < 1.0: return v1 + (v2 - v1) * 6.0 * v_h if 2 * v_h < 1.0: return v2 if 3 * v_h < 2.0: return v1 + (v2 - v1) * ((2.0 / 3.0) - v_h) * 6.0 return v1 # if not (0 <= s <= 1): raise ValueError, "s (saturation) parameter must be between 0 and 1." # if not (0 <= l <= 1): raise ValueError, "l (lightness) parameter must be between 0 and 1." r, b, g = (l * 255,) * 3 if s != 0.0: if l < 0.5: var_2 = l * (1.0 + s) else: var_2 = (l + s) - (s * l) var_1 = 2.0 * l - var_2 r = 255 * hue_2_rgb(var_1, var_2, h + (1.0 / 3.0)) g = 255 * hue_2_rgb(var_1, var_2, h) b = 255 * hue_2_rgb(var_1, var_2, h - (1.0 / 3.0)) return int(round(r)), int(round(g)), int(round(b)) def generate_pastel_colors(n): """Return different pastel colours. Input: n (integer) : The number of colors to return Output: A list of colors in HTML notation (eg.['#cce0ff', '#ffcccc', '#ccffe0', '#f5ccff', '#f5ffcc']) Example: >>> print generate_pastel_colors(5) ['#cce0ff', '#f5ccff', '#ffcccc', '#f5ffcc', '#ccffe0'] """ if n == 0: return [] # To generate colors, we use the HSL colorspace (see http://en.wikipedia.org/wiki/HSL_color_space) start_hue = 0.6 # 0=red 1/3=0.333=green 2/3=0.666=blue saturation = 1.0 lightness = 0.8 # We take points around the chromatic circle (hue): # (Note: we generate n+1 colors, then drop the last one ([:-1]) because # it equals the first one (hue 0 = hue 1)) return [ "#%02x%02x%02x" % hsl_to_rgb(hue, saturation, lightness) for hue in floatrange(start_hue, start_hue + 1, n + 1) ][:-1] def set_sidebar(css): white_link_wrapper = "{}" with st.sidebar: st.markdown(f"", unsafe_allow_html=True) st.image( "http://nlp.uniroma1.it/static/website/sapienza-nlp-logo-wh.svg", use_column_width=True, ) st.markdown("## ReLiK") st.write( f""" - {white_link_wrapper.format("#", "  Paper")} - {white_link_wrapper.format("https://github.com/SapienzaNLP/relik", "  GitHub")} - {white_link_wrapper.format("https://hub.docker.com/repository/docker/sapienzanlp/relik", "  Docker Hub")} """, unsafe_allow_html=True, ) st.markdown("## Sapienza NLP") st.write( f""" - {white_link_wrapper.format("https://nlp.uniroma1.it", "  Webpage")} - {white_link_wrapper.format("https://github.com/SapienzaNLP", "  GitHub")} - {white_link_wrapper.format("https://twitter.com/SapienzaNLP", "  Twitter")} - {white_link_wrapper.format("https://www.linkedin.com/company/79434450", "  LinkedIn")} """, unsafe_allow_html=True, ) def get_el_annotations(response): # swap labels key with ents dict_of_ents = {"text": response.text, "ents": []} dict_of_ents["ents"] = response.labels label_in_text = set(l["label"] for l in dict_of_ents["ents"]) options = {"ents": label_in_text, "colors": get_random_color(label_in_text)} return dict_of_ents, options def set_intro(css): # intro st.markdown("# ReLik") st.markdown( "### Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget" ) # st.markdown( # "This is a front-end for the paper [Universal Semantic Annotator: the First Unified API " # "for WSD, SRL and Semantic Parsing](https://www.researchgate.net/publication/360671045_Universal_Semantic_Annotator_the_First_Unified_API_for_WSD_SRL_and_Semantic_Parsing), which will be presented at LREC 2022 by " # "[Riccardo Orlando](https://riccorl.github.io), [Simone Conia](https://c-simone.github.io/), " # "[Stefano Faralli](https://corsidilaurea.uniroma1.it/it/users/stefanofaralliuniroma1it), and [Roberto Navigli](https://www.diag.uniroma1.it/navigli/)." # ) badge(type="github", name="sapienzanlp/relik") badge(type="pypi", name="relik") def run_client(): with open(Path(__file__).parent / "style.css") as f: css = f.read() st.set_page_config( page_title="ReLik", page_icon="🦮", layout="wide", ) set_sidebar(css) set_intro(css) # text input text = st.text_area( "Enter Text Below:", value="Obama went to Rome for a quick vacation.", height=200, max_chars=500, ) with stylable_container( key="annotate_button", css_styles=""" button { background-color: #802433; color: white; border-radius: 25px; } """, ): submit = st.button("Annotate") # submit = st.button("Run") relik = Relik( question_encoder="riccorl/relik-retriever-aida-blink-pretrain-omniencoder", document_index="riccorl/index-relik-retriever-aida-blink-pretrain-omniencoder", reader="riccorl/relik-reader-aida-deberta-small", top_k=100, window_size=32, window_stride=16, candidates_preprocessing_fn="relik.inference.preprocessing.wikipedia_title_and_openings_preprocessing", ) # ReLik API call if submit: text = text.strip() if text: st.markdown("####") st.markdown("#### Entity Linking") with st.spinner(text="In progress"): response = relik(text) # response = requests.post(RELIK, json=text) # if response.status_code != 200: # st.error("Error: {}".format(response.status_code)) # else: # response = response.json() # Entity Linking # with stylable_container( # key="container_with_border", # css_styles=""" # { # border: 1px solid rgba(49, 51, 63, 0.2); # border-radius: 0.5rem; # padding: 0.5rem; # padding-bottom: 2rem; # } # """, # ): # st.markdown("##") dict_of_ents, options = get_el_annotations(response=response) display = displacy.render( dict_of_ents, manual=True, style="ent", options=options ) display = display.replace("\n", " ") # wsd_display = re.sub( # r"(wiki::\d+\w)", # r"\g<1>".format( # language.upper() # ), # wsd_display, # ) with st.container(): st.write(display, unsafe_allow_html=True) st.markdown("####") st.markdown("#### Relation Extraction") with st.container(): st.write("Coming :)", unsafe_allow_html=True) else: st.error("Please enter some text.") if __name__ == "__main__": run_client()