Added examples

app.py

@@ -25,6 +25,11 @@ model_name = "microsoft/phi-2"
 phi2_text = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 
+def example_inference(input_text, count, image, img_qn, audio):
+    pred_text = textMode(input_text, count)
+    return pred_text, "in progress", "in progress"
+
+
 
 def textMode(text, count):
     count = int(count)
@@ -76,4 +81,13 @@ with gr.Blocks() as demo:
     image_button.click(imageMode, inputs=[image_input,image_text_input], outputs=image_text_output)
     audio_button.click(audioMode, inputs=audio_input, outputs=audio_text_output)
 
+    gr.Examples(
+        examples=[
+            ["What is a large language model?","50","","Describe the image",""]            
+        ],
+        inputs=[input_image, n_top_classes, require_gradcam],
+        outputs=[text_output, image_text_output, audio_text_output],
+        fn=example_inference,
+    )
+
 demo.launch()