Upload app.py

app.py

@@ -363,12 +363,11 @@ demo.encrypt = False
 
 
 with demo:
-    with gr.Tab("Whisper speaker diarization"):
+    with gr.Tab("Consult AI"):
         gr.Markdown('''
             <div>
-            <h1 style='text-align: center'>Whisper speaker diarization</h1>
-            This space uses Whisper models from <a href='https://github.com/openai/whisper' target='_blank'><b>OpenAI</b></a> with <a href='https://github.com/guillaumekln/faster-whisper' target='_blank'><b>CTranslate2</b></a> which is a fast inference engine for Transformer models to recognize the speech (4 times faster than original openai model with same accuracy)
-            and ECAPA-TDNN model from <a href='https://github.com/speechbrain/speechbrain' target='_blank'><b>SpeechBrain</b></a> to encode and clasify speakers
+            <h1 style='text-align: center'>Your very own AI Scribe</h1>
+            This model uses Open AI and a modified Whisper model to produce A SOAP note using only your patient conversations! So give it a try!
             </div>
         ''')
 
@@ -376,21 +375,10 @@ with demo:
             gr.Markdown('''
             ### Transcribe youtube link using OpenAI Whisper
             ##### 1. Using Open AI's Whisper model to seperate audio into segments and generate transcripts.
-            ##### 2. Generating speaker embeddings for each segments.
-            ##### 3. Applying agglomerative clustering on the embeddings to identify the speaker for each segment.
+            ##### 2. Using Open AI to analyse the transcript in terms of your chosen profession.
+            ##### 3. Finally ooutputting your generated SOAP note specilized for your profession and for the patient in just 5 minutes!( Give or take)
             ''')
             
-        with gr.Row():         
-            gr.Markdown('''
-                ### You can test by following examples:
-                ''')
-        examples = gr.Examples(examples=
-                [ "https://www.youtube.com/watch?v=j7BfEzAFuYc&t=32s", 
-                  "https://www.youtube.com/watch?v=-UX0X45sYe4", 
-                  "https://www.youtube.com/watch?v=7minSgqi-Gw"],
-              label="Examples", inputs=[youtube_url_in])
-              
-
         with gr.Row():
             with gr.Column():
                 youtube_url_in.render()