Update app.py

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+mport gradio as gr
 from transformers import AutoModelWithLMHead, AutoTokenizer
 
 tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap")
@@ -14,9 +14,10 @@ def get_question(context, answer, max_length=64):
 
   return tokenizer.decode(output[0])[16:-4]
 
-examples = [["Uzbekistan is a Central Asian nation and former Soviet republic. It's known for its mosques, mausoleums and other sites linked to the Silk Road, the ancient trade route between China and the Mediterranean. Samarkand, a major city on the route, contains a landmark of Islamic architecture.", "Silk Road"]]
+examples = [["The world's first piece of software was written by a computer scientist named Tom Kilburn in 1948.", "1948"], ["The world's first piece of software was written by a computer scientist named Tom Kilburn in 1948.", "Tom Kilburn"], ["The world's first piece of software was written by a computer scientist named Tom Kilburn in 1948.", "computer scientist"]]
 
 css = """
+footer {display:none !important}
 .output-markdown{display:none !important}
 .gr-button-primary {
     z-index: 14;
@@ -63,5 +64,5 @@ css = """
     background-color: rgb(229,225,255) !important;
 }
 """
-demo = gr.Interface(fn=get_question, inputs=[gr.Textbox(lines=3, placeholder="Enter text here", label="Input # 1 - Context"), gr.Textbox(lines=1, label="Input # 2 - Answer")], outputs=gr.Textbox(label="Output - Generated Question"), title="Question Generator", examples=examples, css=css)
+demo = gr.Interface(fn=get_question, inputs=[gr.Textbox(lines=3, placeholder="Enter text here", label="Input # 1 - Context"), gr.Textbox(lines=1, label="Input # 2 - Answer")], outputs=gr.Textbox(label="Output - Generated Question"), title="Question Generator | Data Science Dojo", examples=examples, css=css)
 demo.launch()