Update app.py

app.py

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+import gradio as gr
+import nltk
+from nltk.corpus import wordnet
+from nltk.tokenize import word_tokenize
+
+# Download necessary resources
+nltk.download('punkt')
+nltk.download('averaged_perceptron_tagger')
+nltk.download('wordnet')
+
+# Function to get the WordNet POS tag from the NLTK POS tag
+def get_wordnet_pos(tag):
+    if tag.startswith('J'):
+        return wordnet.ADJ
+    elif tag.startswith('V'):
+        return wordnet.VERB
+    elif tag.startswith('N'):
+        return wordnet.NOUN
+    elif tag.startswith('R'):
+        return wordnet.ADV
+    else:
+        return None
+
+# Function to find a synonym for a word
+def get_synonym(word, pos):
+    synonyms = wordnet.synsets(word, pos=pos)
+    if synonyms:
+        return synonyms[0].lemmas()[0].name()  # Get the first synonym
+    return word  # Return the original word if no synonym is found
+
+# Main function to replace words with synonyms
+def replace_with_synonyms(sentence):
+    words = word_tokenize(sentence)
+    pos_tags = nltk.pos_tag(words)  # Get the part of speech tags
+    new_sentence = []
+
+    for word, tag in pos_tags:
+        wordnet_pos = get_wordnet_pos(tag)
+        if wordnet_pos:  # Only replace if a valid POS tag is found
+            synonym = get_synonym(word, wordnet_pos)
+            new_sentence.append(synonym)
+        else:
+            new_sentence.append(word)  # Keep the original word if no POS tag
+
+    return ' '.join(new_sentence)
+
+# Gradio interface
+def synonymize(sentence):
+    return replace_with_synonyms(sentence)
+
+iface = gr.Interface(fn=synonymize, inputs="text", outputs="text", title="Synonym Replacer", description="Enter a sentence, and the app will replace words with synonyms.")
+
+iface.launch()