app.py

import gradio as gr
import random
import nltk
from nltk.corpus import wordnet

import requests

# Download the Croatian WordNet data
nltk.download("wordnet")
nltk.download("omw")
nltk.download("omw-1.4")



# Function to get the English WordNet synset ID for a Croatian word
def get_english_synset_id(croatian_word):
    # Convert the Croatian word to English WordNet synset IDs
    synsets = wordnet.synsets(croatian_word, lang="hrv")
    print(f"synsets: {synsets}")
    # Check if any synsets were found
    if synsets:
        # Take the first synset (you can modify this to handle multiple synsets if needed)
        hrv_synset = synsets[0]
        english_synset_id  = wordnet.synset_from_pos_and_offset("n", hrv_synset.offset())
        return english_synset_id
    else:
        return None
        
# Function to get definitions and images from web
def get_definition_and_image(word):
   
    # Define the WordNet synset ID for the concept you're interested in
    synset_id =  get_english_synset_id(word) #"n07753592"  # Replace with the synset ID you want
    
    
    if not synset_id: return None
    
    return word + ":\n" + synset_id.definition() or "" 
   
# Function to randomly sample a noun or verb
def sample_word_and_display_info(dummy="dummy"):
    is_noun = random.choice([True, False])  # Randomly choose noun or verb
    if is_noun:
        pos = "n"
    else:
        pos = "v"

    # Get a random word of the chosen part of speech from the Croatian WordNet
    word = random.choice(list(wordnet.all_lemma_names(pos, lang="hrv")))
    print(f"Word: {word}")
    # Get the definition and image (change the function for your source)
    definition = get_definition_and_image(word)

    if definition:
        print(f"Word: {word}")
        print(f"Part of speech: {'Noun' if is_noun else 'Verb'}")
        print(f"Definition: {definition}")
       
        return definition
    else:
        print(f"No information found for '{word}'") 
        return f"No information found for '{word}'"

with gr.Blocks() as demo:
    text = sample_word_and_display_info()
    print(text)
    with gr.Row():
        
        text_1 = gr.Textbox(label="text")
    button = gr.Button(label="Update Text")
    button.click(sample_word_and_display_info,inputs=text_1, outputs=text_1)
demo.launch()