Update app.py

app.py

@@ -141,8 +141,8 @@ def process_webpage(url):
             rendered_content = get_youtube_transcript(url)
         else:
             # Fetch and parse webpage
-            response = requests.get(url)
-            soup = BeautifulSoup(response.text, "html.parser")
+            response = requests.get(url).text
+            soup = BeautifulSoup(response, "html.parser")
             html_content = str(soup.prettify())
 
             for script in soup(["script", "style"]):
@@ -169,7 +169,7 @@ def process_webpage(url):
         summary = summary_response.choices[0].message.content.strip()
         perspectives = perspectives_response.choices[0].message.content.strip()
 
-        return rendered_content, summary, perspectives
+        return response, summary, perspectives
     except Exception as e:
         return f"Error fetching or processing content: {str(e)}",  "", ""
 
@@ -310,19 +310,22 @@ with gr.Blocks() as demo:
             url_input = gr.Textbox(label="Enter URL")
             # Shared Button: Fetch content, show webpage, and summary/perspectives
             fetch_btn = gr.Button("Fetch and Process Webpage")
-            text_output = gr.Textbox(label="Webpage Content", lines=3)
+            text_output = gr.HTML(label="Webpage Content", lines=7)
+            
+            
+        # Column 2: Interactive chatbot
+        with gr.Column():
+            gr.Markdown("## Summary and perspectives")
             summary_output = gr.Textbox(label="Summary", lines=5)
             perspectives_output = gr.Textbox(label="Perspectives", lines=5)
             
-        # Column 2: Interactive chatbot
+        # Column 3: Generate reflections
         with gr.Column():
-            gr.Markdown("## Interactive Chatbot")
+            gr.Markdown("## Interactive Chatbot and reflections")
             chatbot_history_gr = gr.Chatbot(label="Chat History")
             user_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
             chatbot_btn = gr.Button("Chat")
             
-        # Column 3: Generate reflections
-        with gr.Column():
             reflection_btn = gr.Button("Generate reflection")
             reflection_output = gr.Textbox(label="Reflections",interactive=True, lines=5)
             # Custom HTML and JS for copy-to-clipboard