Update app.py

app.py

@@ -60,7 +60,7 @@ class NounExtractor:
             # Collect dependency labels for the current noun phrase
             deps_in_phrase = {list_dep_labels[tok.i] for tok in current}
 
-            # Merge logic based on 'of' construction
+            # Merge logic based on 'phrases connectors' construction
             if i + 1 < len(noun_phrases) and (doc[current.end].text in ['of', 'in', 'among', 'on', 'towards', 'to', 'for']):
                 next_phrase = noun_phrases[i + 1]
                 if i + 2 < len(noun_phrases) and doc[next_phrase.end].dep_ == 'pcomp':
@@ -190,7 +190,7 @@ def CogMapAnalysis(text):
 # Create the GUI using the 'gr' library
 with gr.Blocks() as demo:
     with gr.Column():
-        gr.Markdown('<div style="text-align: center;"><h1><strong>CogMap</strong></h1></div> <div style="text-align: center;"><h3></h3></div>')
+        gr.Markdown('<div style="text-align: center;"><h1><strong>CogMapNLP</strong></h1></div> <div style="text-align: center;"><h3></h3></div>')
 
     with gr.Row():
         inputs = gr.Textbox(label="Input", lines=2, placeholder="Enter your text here...")
@@ -200,7 +200,7 @@ with gr.Blocks() as demo:
             "CogMap is a tool that lets you create cognitive maps from text."
         ]
 
-        output = gr.Textbox(label="CogMap", lines=1, placeholder=".............")
+        output = gr.Textbox(label="CogMap", lines=1, placeholder=" ")
         cogmap_plot = gr.Plot(label="Visualization")
         interface = gr.Interface(fn=CogMapAnalysis, examples=examples, inputs=inputs, outputs=[output, cogmap_plot])