Update app.py

Made some cosmetic changes

app.py

@@ -47,8 +47,8 @@ For each parameter, rate the blog on a scale of 1 to 10 and provide **specific s
   - "FAQs"
   - "Top5 Suggestions"
   - "Edited Article"
-  - "PreEditing GenAI Content%"
-  - "PostEditing GenAI Content%"
+  - "PreEdit GenAI Perc"
+  - "PostEdit GenAI Perc"
 
 Ensure the output is formatted correctly for use with the Python `json` library.
 """
@@ -105,9 +105,9 @@ def process_all_parameters(article):
     reference_links = json.dumps(parsed_response.get('Reference Links', {}), indent=2)
     faqs = json.dumps(parsed_response.get('FAQs', {}), indent=2)
     top_suggestions = json.dumps(parsed_response.get('Top5 Suggestions', []), indent=2)
+    pre_editing_genai = json.dumps(parsed_response.get('PreEdit GenAI Perc', {}), indent=2)
+    post_editing_genai = json.dumps(parsed_response.get('PostEdit GenAI Perc', {}), indent=2)
     edited_article = parsed_response.get('Edited Article', "No edited article found")
-    pre_editing_genai = json.dumps(parsed_response.get('PreEditing GenAi Content%', {}), indent=2)
-    post_editing_genai = json.dumps(parsed_response.get('PostEditing GenAi Content%', {}), indent=2)
     
     # Process highlighted response
     messages2 = [
@@ -117,13 +117,12 @@ def process_all_parameters(article):
     
     highlighted_response = agent(messages2)
     
-    return (word_count, language_grammar, word_usage, flow_structure, technical_soundness,
-            reference_links, faqs, top_suggestions, pre_editing_genai, post_editing_genai, 
-            edited_article, highlighted_response)
+    return (word_count, language_grammar, word_usage, flow_structure, technical_soundness,reference_links,
+            faqs, top_suggestions, pre_editing_genai, post_editing_genai, edited_article, highlighted_response)
 
 # Gradio Interface
 with gr.Blocks() as demo:
-    gr.Markdown("## AV Blog Editor V2")
+    gr.Markdown("## AV Blog Editor V3")
     gr.Markdown("### Guidelines")
     gr.Markdown("""
     1. Use your discretion while using this tool.
@@ -132,8 +131,10 @@ with gr.Blocks() as demo:
     4. Do share any suggestions for improvements in this tool with Apoorv. You can get some candies for that :)
     """)
 
-    article_input = gr.Textbox(label="Input Article", lines=15, placeholder="Enter your article here...")
+    article_input = gr.Textbox(label="Input Article", lines=12, placeholder="Enter your article here...")
 
+    submit_btn = gr.Button("Submit")
+    
     with gr.Row():
         with gr.Column():
             word_count = gr.Textbox(label="Word Count")
@@ -146,13 +147,15 @@ with gr.Blocks() as demo:
             reference_links = gr.Textbox(label="Reference Links", lines=3)
             faqs = gr.Textbox(label="FAQs", lines=3)
             top_suggestions = gr.Textbox(label="Top 5 Suggestions", lines=5)
-            pre_editing_genai = gr.Textbox(label="PreEditing GenAI Content%", lines=1)
-            post_editing_genai = gr.Textbox(label="PostEditing GenAI Content%", lines=1)
+            pre_editing_genai = gr.Textbox(label="PreEdit GenAI Perc", lines=1)
+            post_editing_genai = gr.Textbox(label="PostEdit GenAI Perc", lines=1)
 
-    gr.Markdown("### Edited Article")
-    highlighted_response = gr.Markdown(label="Highlighted Response")
 
-    submit_btn = gr.Button("Submit")
+    gr.Markdown("### Edits Highlighted")
+    highlighted_response = gr.Markdown()
+    
+    edited_article = gr.Textbox(label="Edited Article")
+    
 
     # Handle everything in one go
     def process(article):
@@ -165,7 +168,7 @@ with gr.Blocks() as demo:
         outputs=[
             word_count, language_grammar, word_usage, flow_structure, technical_soundness, 
             reference_links, faqs, top_suggestions, pre_editing_genai, post_editing_genai, 
-            gr.Textbox(label="Edited Article"), highlighted_response
+            edited_article, highlighted_response
         ]
     )