Update app.py

app.py

@@ -52,7 +52,7 @@ def inference(raw_image, model_n, question, strategy):
           if strategy == "Beam search":
               caption = model.generate(image, sample=False, num_beams=3, max_length=20, min_length=5)
           else:
-              caption = model.generate(image, sample=True, top_p=0.9, max_length=20, min_length=5)
+              caption = model.generate(image, sample=True, top_p=0.95, max_length=20, min_length=5)
           return 'caption: '+caption[0]
 
     else:   
@@ -61,7 +61,7 @@ def inference(raw_image, model_n, question, strategy):
             answer = model_vq(image_vq, question, train=False, inference='generate') 
         return  'answer: '+answer[0]
     
-inputs = [gr.inputs.Image(type='pil'),gr.inputs.Radio(choices=['Image Captioning',"Visual Question Answering"], type="value", default="Image Captioning", label="Model"),"textbox",gr.inputs.Radio(choices=['Beam search','Nucleus sampling'], type="value", default="Nucleus sampling", label="Caption Decoding Strategy")]
+inputs = [gr.inputs.Image(type='pil'),gr.inputs.Radio(choices=['Image Captioning',"Visual Question Answering"], type="value", default="Image Captioning", label="Task"),"textbox",gr.inputs.Radio(choices=['Beam search','Nucleus sampling'], type="value", default="Nucleus sampling", label="Caption Decoding Strategy")]
 outputs = gr.outputs.Textbox(label="Output")
 
 title = "BLIP"