Update app.py

app.py

@@ -1,14 +1,102 @@
 import gradio as gr
-import classla
-classla.download('hr')
-nlp = classla.Pipeline('hr')
+# import classla
+# classla.download('hr')
+# nlp = classla.Pipeline('hr')
+import random
+import nltk
+from nltk.corpus import wordnet
+from bs4 import BeautifulSoup
+import requests
 
-def greet(name):
-    doc = nlp(name)
-    #print(doc.to_conll())
-    return doc.to_conll()
+# Download the Croatian WordNet data
+nltk.download("wordnet")
+nltk.download("omw")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+
+# 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")
+    
+    # Check if any synsets were found
+    if synsets:
+        # Take the first synset (you can modify this to handle multiple synsets if needed)
+        english_synset_id = synsets[0].name()
+        return english_synset_id
+    else:
+        return None
+        
+# Function to get definitions and images from web
+def get_definition_and_image(word):
+    # try:
+    #     # You may need to adjust this URL based on the source of definitions and images
+    #     url = f"https://your-dictionary-website.com/{word}"
+    #     response = requests.get(url)
+    #     soup = BeautifulSoup(response.text, "html.parser")
+
+    #     # Extract definition and image (assuming they are in specific HTML elements)
+    #     definition = soup.find("div", {"class": "definition"}).text
+    #     image_url = soup.find("img", {"class": "word-image"})["src"]
+
+    #     return definition, image_url
+    # except Exception as e:
+    #     return None, None
+    
+    
+    # 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
+    
+    # URL for the ImageNet API
+    base_url = "http://www.image-net.org/api/text/imagenet.synset.geturls?wnid="
+    
+    # Combine the base URL and the synset ID to get a list of image URLs
+    url = base_url + synset_id
+    
+    # Send a GET request to the URL
+    response = requests.get(url)
+    
+    if response.status_code == 200:
+        # Parse the response to get a list of image URLs
+        image_urls = response.text.splitlines()
+        
+        # Print the first 10 image URLs
+        for i, url in enumerate(image_urls[:10], start=1):
+            print(f"Image {i}: {url}")
+    else:
+        print(f"Failed to retrieve image URLs. Status code: {response.status_code}")
+
+# Function to randomly sample a noun or verb
+def sample_word_and_display_info():
+    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(wordnet.all_lemma_names(pos, lang="hrv"))
+    
+    # Get the definition and image (change the function for your source)
+    definition, image_url = get_definition_and_image(word)
+
+    if definition and image_url:
+        print(f"Word: {word}")
+        print(f"Part of speech: {'Noun' if is_noun else 'Verb'}")
+        print(f"Definition: {definition}")
+        print(f"Image URL: {image_url}")
+        return image_url ,definition
+    else:
+        print(f"No information found for '{word}'")
+        return none,none
+
+
+
+def sample():
+    return sample_word_and_display_info()
+    
+
+iface = gr.Interface(fn=sample, inputs="text", outputs="image, text")
 iface.launch()