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| import gradio as gr | |
| import random | |
| import pandas as pd | |
| import requests | |
| # URL of the file you want to download | |
| url = "https://raw.githubusercontent.com/Bestroi150/NLP_LAT_COLL/main/corpus_sermo_vulgaris_token.csv" | |
| # Specify the local file name to save the downloaded content | |
| local_filename = "corpus_sermo_vulgaris_token.csv" | |
| # Send an HTTP GET request to the URL | |
| response = requests.get(url) | |
| # Check if the request was successful (status code 200) | |
| if response.status_code == 200: | |
| # Open the local file for writing and save the content from the response | |
| with open(local_filename, 'wb') as f: | |
| f.write(response.content) | |
| print(f"File '{local_filename}' has been downloaded and saved.") | |
| else: | |
| print(f"Failed to download the file. Status code: {response.status_code}") | |
| data = pd.read_csv('corpus_sermo_vulgaris_token.csv') | |
| analytics_data = pd.DataFrame(columns=["Entry", "Clicks"]) # Declare as a global variable | |
| def get_random_entry(): | |
| random_row = data.sample() | |
| token = random_row['token'].values[0] | |
| pos = random_row['pos'].values[0] | |
| if pos == "n": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Noun, <b>Lemma:</b> {random_row['lemma'].values[0]}, <b>Gender:</b> {random_row['gender'].values[0]}, <b>Case:</b> {random_row['case'].values[0]}, <b>Number:</b> {random_row['number'].values[0]}" | |
| elif pos == "adp": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Preposition, <b>Lemma:</b> {random_row['lemma'].values[0]}" | |
| elif pos == "adi": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Adjective, <b>Lemma:</b> {random_row['lemma'].values[0]}, <b>Gender:</b> {random_row['gender'].values[0]}, <b>Case:</b> {random_row['case'].values[0]}, <b>Number:</b> {random_row['number'].values[0]}" | |
| elif pos == "adv": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Adverb, <b>Lemma:</b> {random_row['lemma'].values[0]}" | |
| elif pos == "pron": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Pronoun, <b>Lemma:</b> {random_row['lemma'].values[0]}" | |
| elif pos == "v": | |
| entry_str = f"<b>Token:</b> {token}, <b>POS:</b> Verb, <b>Lemma:</b> {random_row['lemma'].values[0]}, <b>Aspect:</b> {random_row['aspect'].values[0]}, <b>Tense:</b> {random_row['tense'].values[0]}, <b>VerbForm:</b> {random_row['verbForm'].values[0]}, <b>Voice:</b> {random_row['voice'].values[0]}, <b>Mood:</b> {random_row['mood'].values[0]}" | |
| else: | |
| entry_str = f"<b>Token:</b> {token}, Lemma: {random_row['lemma'].values[0]}," | |
| if pd.notna(random_row['aspect'].values[0]): | |
| entry_str += f" Aspect: {random_row['aspect'].values[0]}," | |
| if pd.notna(random_row['tense'].values[0]): | |
| entry_str += f" Tense: {random_row['tense'].values[0]}," | |
| if pd.notna(random_row['verbForm'].values[0]): | |
| entry_str += f" VerbForm: {random_row['verbForm'].values[0]}," | |
| if pd.notna(random_row['voice'].values[0]): | |
| entry_str += f" Voice: {random_row['voice'].values[0]}," | |
| if pd.notna(random_row['mood'].values[0]): | |
| entry_str += f" Mood: {random_row['mood'].values[0]}," | |
| if pd.notna(random_row['number'].values[0]): | |
| entry_str += f" Number: {random_row['number'].values[0]}," | |
| if pd.notna(random_row['person'].values[0]): | |
| entry_str += f" Person: {random_row['person'].values[0]}," | |
| if pd.notna(random_row['case'].values[0]): | |
| entry_str += f" Case: {random_row['case'].values[0]}," | |
| if pd.notna(random_row['gender'].values[0]): | |
| entry_str += f" Gender: {random_row['gender'].values[0]}" | |
| # Remove the trailing comma | |
| entry_str = entry_str.rstrip(',') | |
| return entry_str | |
| # Remove the trailing comma | |
| entry_str = entry_str.rstrip(',') | |
| return entry_str | |
| iface = gr.Interface( | |
| fn=get_random_entry, | |
| inputs=None, | |
| outputs="html", # Use HTML as the output type | |
| live=True, | |
| theme=gr.themes.Base(primary_hue="teal").set( | |
| button_primary_background_fill="*primary_400", | |
| button_primary_background_fill_hover="*primary_300", | |
| )) | |
| iface.launch( | |
| share=True | |
| ) | |