Create app.py

app.py

@@ -0,0 +1,35 @@
+from transformers import pipeline
+from youtube_transcript_api import YouTubeTranscriptApi
+
+def summarize(youtube_video):
+
+  video_id = youtube_video.split("=")[1]
+  transcript = YouTubeTranscriptApi.get_transcript(video_id)
+  
+  summarizer = pipeline('summarization')
+
+  result = ""
+  for i in transcript:
+      result += ' ' + i['text']
+
+  num_iters = int(len(result)/1000)
+  summarized_text = []
+  for i in range(0, num_iters + 1):
+    start = 0
+    start = i * 1000
+    end = (i + 1) * 1000
+    print("input text \n" + result[start:end])
+    out = summarizer(result[start:end])
+    out = out[0]
+    out = out['summary_text']
+    print("Summarized text\n"+out)
+    summarized_text.append(out)
+
+    inp = result.replace('\n','')
+    summary = summarizer(inp)
+    return summary
+    
+import gradio as gr
+
+grad= gr.Interface(fn=summarize, inputs="text", outputs="text")
+grad.launch()