Adding Example Information

app.py

@@ -117,10 +117,13 @@ image_2 = gr.inputs.Image(type="filepath")
 text_1 = gr.inputs.Textbox(lines=5)
 text_2 = gr.inputs.Textbox(lines=5)
 
+examples = ['examples/image_1.png', 'examples/image_2.jpg', '#IndiaFightsCorona:\n\nNearly 4.5 million beneficiaries vaccinated against #COVID19 in 19 days.\n\nIndia is the fastest country to cross landmark of vaccinating 4 million beneficiaries in merely 18 days.\n\n#StaySafe #IndiaWillWin #Unite2FightCorona https://t.co/beGDQfd06S', '#IndiaFightsCorona:\n\nIndia has become the fastest nation to reach 4 million #COVID19 vaccinations ; it took only 18 days to administer the first 4 million #vaccines\n\n:@MoHFW_INDIA Secretary\n\n#StaySafe #IndiaWillWin #Unite2FightCorona https://t.co/9GENQlqtn3']
+
 label = gr.outputs.Label()
 
 iface = gr.Interface(classify_info, 
 	inputs=[image_1, text_1, image_2, text_2], outputs=label,
+	examples = examples,
 	title="Multimodal Entailment Keras",
 	description = "Model for classifying whether image and text from one scenario complements the image and text from another scenario. They can be contradictory, implied or no entailment",
         article = "Author: <a href=\"https://huggingface.co/reichenbach\">Rishav Chandra Varma</a>")