Update app.py

app.py

@@ -76,8 +76,10 @@ with torch.no_grad():
 print('--------------Loaded fine tuned phi2 model----------------------')
     
 
-def example_inference(input_text, count): #, image, img_qn, audio):
+def example_inference(input_text, count, image, img_qn, audio):
     pred_text = textMode(input_text, count)
+    pred_text_image = imageMode(image, img_qn)
+    pred_text_audio = audioMode(audio)
     return pred_text #, "in progress", "in progress"
 
 
@@ -169,7 +171,7 @@ with gr.Blocks() as demo:
 
     gr.Examples(
         examples=[
-            ["What is a large language model?","50"] #,"","Describe the image",""]            
+            ["What is a large language model?","50","zebras.png","Are the zebras walking or standing still in the image?","WtIsML.m4a"]            
         ],
         inputs=[text_input, text_input_count], #, image_input, image_text_input, audio_input],
         outputs=[text_output], #, image_text_output, audio_text_output],