Create app.py

app.py

@@ -0,0 +1,33 @@
+#Import Libraries and Modules 
+from youtube_transcript_api import YouTubeTranscriptApi
+import gradio as gr
+from gradio.mix import Series
+
+#Define a function that extracts video transcripts using youtube video URLs. 
+def transcript_extracter(link):
+    id = link[link.index("=")+1:]
+        
+    transcript = YouTubeTranscriptApi.get_transcript(id)
+    script = ""
+
+    for text in transcript:
+        t = text["text"]
+        if t != '[Music]':
+            script += t + " "
+		
+    return script
+
+generate_transcript_function = gr.Interface(transcript_extracter, 'text', 'text')
+summarizer_model = gr.Interface.load("huggingface/sshleifer/distilbart-cnn-12-6") #Load transformers model.
+
+Demo_application = Series(generate_transcript_function, summarizer_model,
+                  inputs = gr.inputs.Textbox(label = "Enter the YouTube URL: "),
+                  outputs = gr.outputs.Textbox(label = "Youtube Video Summary"),
+                  examples = ["https://www.youtube.com/watch?v=Cu3R5it4cQs&list", "https://www.youtube.com/watch?v=HB4I2CgkcCo"],
+                  title = "YouTube Video Summarizer",
+                  theme = "grass",
+                  description = "This application uses the sshleifer/distilbart-cnn-12-6 model to Summarize Youtube Videos. Click on one of the examples given below or     
+                  Enter a video URL of your choice!",
+                  allow_flagging=False)
+               
+Demo_application.launch()