init

.gitignore

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+__pycache__/*
+__pycache__

app.py

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+import gradio as gr
+from youtube_timestamper.core import YoutubeTimestamper
+import datetime
+
+def timestamp(url, q_thresh):
+    yt_timestamper = YoutubeTimestamper(url)
+    yt_timestamper.suggest_question_timestamps(q_thresh)
+    output=""
+    for t in yt_timestamper.timestamps:
+        timestamp = f"{datetime.timedelta(seconds=t[0])}"
+        timestamp = timestamp.split(".")[0].rjust(8, "0")
+        stamp = f"{timestamp} {t[1]}"
+        output += "\n" + stamp
+    output += "\n\nCreated using youtube-timestamper - https://ilangurudev.github.io/youtube-timestamper/"
+    return output.strip()
+
+article  = "Youtube Timestamper"
+description = "Create timestamps for youtube interview videos using NLP."
+
+iface = gr.Interface(fn=timestamp, 
+                     inputs=["text", gr.inputs.Slider(0, 50, 1, 15)], 
+                     outputs="text", 
+                     description=description,
+                     article=article,
+                     enable_queue=True,
+                     examples=[["https://www.youtube.com/watch?v=QGCvycOXs2M", 20], ["https://www.youtube.com/watch?v=RvwynqDUoQE", 20]],)
+iface.launch()

requirements.txt

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+youtube-timestamper