Update app.py

app.py

@@ -1,12 +1,10 @@
 import gradio as gr
-from hazm import Normalizer, word_tokenize, Lemmatizer, POSTagger, Chunker, DependencyParser
+from hazm import Normalizer, word_tokenize, Lemmatizer, Chunker
 
 # Initialize Hazm components
 normalizer = Normalizer()
 lemmatizer = Lemmatizer()
-tagger = POSTagger(model='resources/postagger.model')
 chunker = Chunker(model='resources/chunker.model')
-parser = DependencyParser(tagger=tagger, lemmatizer=lemmatizer)
 
 def process_text(text, operations):
     result = {}
@@ -19,20 +17,14 @@ def process_text(text, operations):
     if 'lemmatize' in operations:
         lemmas = [lemmatizer.lemmatize(token) for token in word_tokenize(text)]
         result['Lemmas'] = lemmas
-    if 'pos_tag' in operations:
-        pos_tags = tagger.tag(word_tokenize(text))
-        result['POS Tags'] = pos_tags
     if 'chunk' in operations:
-        pos_tags = tagger.tag(word_tokenize(text))
+        pos_tags = word_tokenize(text)
         chunks = chunker.parse(pos_tags)
         result['Chunks'] = str(chunks)
-    if 'dependency_parse' in operations:
-        parse_tree = parser.parse(word_tokenize(text))
-        result['Dependency Parse'] = str(parse_tree)
     return result
 
 # Define Gradio interface
-operations = ['normalize', 'tokenize', 'lemmatize', 'pos_tag', 'chunk', 'dependency_parse']
+operations = ['normalize', 'tokenize', 'lemmatize', 'chunk']
 iface = gr.Interface(
     fn=process_text,
     inputs=[