Update app.py

app.py

@@ -88,7 +88,7 @@ class GradioInference:
             truncation=True
         )
 
-        #### Resumen multilingue con mt5 
+        # Multilingual summary with mt5 
         WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
         
         input_ids_sum = self.mt5_tokenizer(
@@ -111,7 +111,7 @@ class GradioInference:
             skip_special_tokens=True,
             clean_up_tokenization_spaces=False
         )
-        #### Fin resumen multilingue
+        # End multilingual summary
         
         progress(0.60, desc="Extracting Keywords")
         
@@ -218,7 +218,7 @@ class GradioInference:
             results["text"], max_length=150, min_length=30, do_sample=False, truncation=True
         )
         
-        #### Resumen multilingue
+        # Multilingual summary with mt5
         WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
         
         input_ids_sum = self.mt5_tokenizer(
@@ -241,7 +241,7 @@ class GradioInference:
             skip_special_tokens=True,
             clean_up_tokenization_spaces=False
         )
-        #### Fin resumen multilingue
+        # End multilingual summary
 
         progress(0.50, desc="Extracting Keywords")
         
@@ -322,7 +322,7 @@ class GradioInference:
             article, max_length=150, min_length=30, do_sample=False, truncation=True
         )
         
-        #### Resumen multilingue
+        # Multilingual summary with mt5
         WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
         
         input_ids_sum = self.mt5_tokenizer(
@@ -345,7 +345,7 @@ class GradioInference:
             skip_special_tokens=True,
             clean_up_tokenization_spaces=False
         )
-        #### Fin resumen multilingue
+        # End multilingual summary
 
         progress(0.60, desc="Extracting Keywords")
         
@@ -455,18 +455,17 @@ with block as demo:
                     label = gr.Label(label="Sentiment Analysis")
                     wordcloud_image = gr.Image(label="WordCloud")
                 
-                with gr.Row().style(rounded=True):
-                    btn = gr.Button("Get Video Insights 🔎", variant="primary", scale=1)
-                    clear = gr.ClearButton(
-                            [link, title, img, text, summary, keywords, label, wordcloud_image],
-                            value="Clear 🗑️", scale=1
-                    )
-                btn.click(
-                    gio,
-                    inputs=[link, lang, size],
-                    outputs=[text, summary, keywords, label, wordcloud_image],
-                )
-                link.change(gio.populate_metadata, inputs=[link], outputs=[img, title])
+            btn = gr.Button("Get Video Insights 🔎", variant="primary", scale=1)
+            clear = gr.ClearButton(
+                    [link, title, img, text, summary, keywords, label, wordcloud_image],
+                    value="Clear 🗑️", scale=1
+            )
+            btn.click(
+                gio,
+                inputs=[link, lang, size],
+                outputs=[text, summary, keywords, label, wordcloud_image],
+            )
+            link.change(gio.populate_metadata, inputs=[link], outputs=[img, title])
 
         with gr.Tab("From Audio file 🎙️"):
             with gr.Box():
@@ -540,7 +539,9 @@ with block as demo:
 
 with block:
     gr.Markdown("### Video Examples")
-    gr.Examples(["https://www.youtube.com/shorts/xDNzz8yAH7I","https://www.youtube.com/watch?v=MnrJzXM7a6o&pp=ygURc3RldmUgam9icyBzcGVlY2g%3D"], inputs=link)
+    gr.Examples(["https://www.youtube.com/shorts/xDNzz8yAH7I",
+                 "https://www.youtube.com/watch?v=MnrJzXM7a6o&pp=ygURc3RldmUgam9icyBzcGVlY2g%3D",
+                "https://www.youtube.com/watch?v=FKjj1tNcbtM&pp=ygUvZGFuaWVsIGdvbGVtYW4gdGVkIHRhbGsgZW1vdGlvbmFsIGludGVsbGlnZW5jZSA%3D"], inputs=link)
     
     gr.Markdown("### Audio Examples")
     # gr.Examples(