Test Gradio

app.py

@@ -3,7 +3,7 @@ import torchvision.transforms as transforms
 import cv2
 from PIL import Image
 import pafy
-import gradio as gr
+import gradio as gra
 from transformers import BlipProcessor, BlipForConditionalGeneration
 import subprocess
 
@@ -44,10 +44,13 @@ def caption_youtube(url):
                     # Release the video file
                     
             cap.release()
+
+def user_greeting(name):
+    return "Hi! " + name + " Welcome to your first Gradio application!😎"    
     
 video_url = 'https://www.youtube.com/watch?v=orbkg5JH9C8'
 subprocess.call(['youtube-dl', '-f', 'best', '-o', 'video.mp4', video_url]
-iface = gr.Interface(fn=caption_youtube, inputs='text', outputs="text")
+iface = gra.Interface(fn=user_greeting, inputs='text', outputs="text")
 iface.launch()