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+For those seeking automatic voice transcription and speaker prediction services, this demo will take your .wav file, transcribe the audio and predict who spoke it based on user guidance.
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+Often, those conducting interviews or meetings on the fly cannot always have meetings over video to record. 
+In such cases, the option is to record on your phone and transcribe/edit pooling multiple sources.
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+Let's make it easier on us by...
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+- Step 1: Uploading your .wav file.
+- Step 2: Including the number of participants in the meeting (minimum 2, maximum 5).
+- Step 3: Including the names of individuals along with any other supporting details.
+- Step 4: Retrieve cleaned transcript with names just as you would on a normal vtt file.
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+Notes:
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+- This model will work best if meeting participants explicitly state their name upfront, which is an important privacy consideration when conducting meetings to imply consent.
+- This is a demo on ZeroGPU HuggingFace Spaces, so please keep the meeting length to about 30-40 minutes.