Update app.py

app.py

@@ -2,15 +2,11 @@ import gradio as gr
 from transformers import pipeline
 
 playground = gr.Blocks()
+
 image_pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
 summary_pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
 ner_pipe = pipeline("ner", model="dslim/bert-base-NER")
 
-examples_summarization = [
-    ["The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct."], 
-    ["Tower Bridge is a Grade I listed combined bascule, suspension, and, until 1960, cantilever bridge[1] in London, built between 1886 and 1894, designed by Horace Jones and engineered by John Wolfe Barry with the help of Henry Marc Brunel.[2] It crosses the River Thames close to the Tower of London and is one of five London bridges owned and maintained by the City Bridge Foundation, a charitable trust founded in 1282. The bridge was constructed to connect the 39 per cent of London's population that lived east of London Bridge, while allowing shipping to access the Pool of London between the Tower of London and London Bridge. The bridge was opened by Edward, Prince of Wales and Alexandra, Princess of Wales on 30 June 1894."]
-]
-
 def launch_image_pipe(input):
     out = image_pipe(input)
     return out[0]['generated_text']
@@ -73,8 +69,7 @@ def create_tabs_header(topic, description, references):
             gr.Markdown("""
                         ## Image Captioning
                         ### Upload a image, check what AI understand and have vision on it.
-                        > category: Image-to-Text
-                        > model: [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base)
+                        > category: Image-to-Text, model: [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base)
                         """)
             
         with gr.Column(scale=1):
@@ -117,32 +112,21 @@ with playground:
 
             with gr.Row():
                 with gr.Column():
-                    source_text = gr.Textbox(label="Text to summarize", lines=6)
-                    gr.Examples(examples=examples_summarization, inputs=source_text)
+                    source_text = gr.Textbox(label="Text to summarize", lines=10)                    
+                    gr.Examples(examples=[
+                        "The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.", 
+                        "Tower Bridge is a Grade I listed combined bascule, suspension, and, until 1960, cantilever bridge[1] in London, built between 1886 and 1894, designed by Horace Jones and engineered by John Wolfe Barry with the help of Henry Marc Brunel.[2] It crosses the River Thames close to the Tower of London and is one of five London bridges owned and maintained by the City Bridge Foundation, a charitable trust founded in 1282. The bridge was constructed to connect the 39 per cent of London's population that lived east of London Bridge, while allowing shipping to access the Pool of London between the Tower of London and London Bridge. The bridge was opened by Edward, Prince of Wales and Alexandra, Princess of Wales on 30 June 1894."
+                    ], inputs=source_text)
                 with gr.Column():
-                    summary_textbox = gr.Textbox(lines=3, placeholder="", label="Summarization")
-                    translated_textbox = gr.Textbox(lines=3, placeholder="", label="Translate Result")
+                    summary_textoutput = gr.Textbox(lines=3, placeholder="", label="Text Summarization")
+                    translated_textbox = gr.Textbox(lines=3, placeholder="", label="Translated Result")
 
                     
             text_pipeline_button.click(summarize,
                                         inputs=[source_text],
-                                        outputs=[summary_textbox, translated_textbox])
+                                        outputs=[summary_textoutput, translated_textbox])
             
         with gr.TabItem("Name Entity"):
-            # gr.Markdown("""
-            #             > Name Entity Recognition
-            #             """)
-
-            # iface = gr.Interface(fn=ner,
-            #         inputs=[gr.Textbox(label="Text to find entities", lines=2)],
-            #         outputs=[gr.HighlightedText(label="Text with entities")],
-            #         title="NER with dslim/bert-base-NER",
-            #         description="Find entities using the `dslim/bert-base-NER` model!",
-            #         allow_flagging="never",
-            #         examples=["My name is Ray, I'm learning through Hugging Face and DeepLearning.AI and I live in Caversham, Reading", "My name is Raymond, I work at A&O IT Group"])
-            
-            gr.Markdown("# NER with dslim/bert-base-NER")
-            gr.Markdown("Find entities using the `dslim/bert-base-NER` model!")
             with gr.Row():
                 with gr.Column(scale=4):
                     gr.Markdown("""
@@ -157,7 +141,7 @@ with playground:
             with gr.Row():
                 with gr.Column():
                     ner_text_input = gr.Textbox(label="Text to find entities", lines=2)
-                    examples = gr.Examples(examples=[
+                    gr.Examples(examples=[
                         "My name is Ray, I'm learning through Hugging Face and DeepLearning.AI and I live in Caversham, Reading", 
                         "My name is Raymond, I work at A&O IT Group"
                     ], inputs=ner_text_input)