Update app.py

app.py

@@ -6,7 +6,11 @@ import gradio as gr
 from transformers import pipeline
 
 text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
- 
+
+# model_path = ("../Models/models--sshleifer--distilbart-cnn-12-6/snapshots"
+#               "/a4f8f3ea906ed274767e9906dbaede7531d660ff")
+# text_summary = pipeline("summarization", model=model_path,
+#                 torch_dtype=torch.bfloat16)
 
 def summary (input):
     output = text_summary(input)
@@ -40,16 +44,16 @@ def get_youtube_transcript(video_url):
         return f"An error occurred: {e}"
 
 
-
+# Example URL (Replace this with the actual URL when using the script)
 # video_url = "https://youtu.be/5PibknhIsTc"
 # print(get_youtube_transcript(video_url))
 
 gr.close_all()
 
-# # demo = gr.Interface(fn=summary, inputs="text",outputs="text")
+# demo = gr.Interface(fn=summary, inputs="text",outputs="text")
 demo = gr.Interface(fn=get_youtube_transcript,
                     inputs=[gr.Textbox(label="Input YouTube Url to summarize",lines=1)],
                     outputs=[gr.Textbox(label="Summarized text",lines=4)],
-                    title="YouTube Script Summarizer",
+                    title="@GenAILearniverse Project 2: YouTube Script Summarizer",
                     description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE YOUTUBE VIDEO SCRIPT.")
 demo.launch()