Update app.py

app.py

@@ -10,8 +10,7 @@ import re
 import gradio as gr
 lancaster = LancasterStemmer()
 
-nltk.download('brown')
-nltk.download('universal_tagset')
+
 
 class CRF_POS_Tagger:
     def __init__(self):
@@ -222,13 +221,20 @@ class CRF_POS_Tagger:
         features = [self.word_features(sentence_list, i) for i in range(len(sentence_list))]
 
         predicted_tags = self.crf_model.predict([features])
-        output = "".join(f"{sentence[i]}[{predicted_tags[0][i]}] " for i in range(len(sentence)))
+        output = "".join(f"{sentence[i]}[{predicted_tags[0][i]}]    " for i in range(len(sentence)))
         return output
 
 tagger = CRF_POS_Tagger()
 interface = gr.Interface(fn = tagger.tagging, 
-                         inputs = "text", 
-                         outputs = "text",
-                         title = "CRF POS Tagger",
-                         description = "CS626 Assignment 1b by 24M0797, 24M0798, 24M0815, 24M0833")
-interface.launch(inline = False)
+                            inputs = gr.Textbox(
+                            label="Input Sentence",  
+                            placeholder="Enter your sentence here...",
+                        ),
+                         outputs = gr.Textbox(
+                            label="Tagged Output",  
+                            placeholder="Tagged sentence appears here...",
+                        ),
+                         title = "Conditional Random Field POS Tagger",
+                         description = "CS626 Assignment 1B (Autumn 2024)",
+                         theme=gr.themes.Soft())
+interface.launch()