Update app.py

app.py

@@ -75,6 +75,10 @@ def generate_podcast_script(api_key, content, duration, num_hosts):
         Do not use any special characters or markdown. Only include the monologue with proper punctuation.
         Ensure the content flows naturally and stays relevant to the topic.
         Limit the script length to match the requested duration of {duration}.
+        Use emotion tags naturally in generative AI speech, incorporate them sparingly at key moments to enhance the dialogue's emotional context. 
+        Place tags like <laugh> for joy, <sigh> for frustration or relief, <chuckle> for mild amusement, <cough> or <sniffle> for discomfort, <groan> for displeasure, <yawn> for tiredness, and <gasp> for surprise. 
+        For example: "I can't believe I stayed up all night <yawn> only to find out the meeting was canceled <groan>. Oh well, at least I finished the project <chuckle>." 
+        Remember, use tags judiciously to maintain a natural flow of conversation.
         """
     else:
         prompt = f"""
@@ -89,6 +93,10 @@ def generate_podcast_script(api_key, content, duration, num_hosts):
         Do not use any special characters or markdown. Only include the alternating dialogue lines with proper punctuation.
         Ensure the conversation flows naturally and stays relevant to the topic.
         Limit the script length to match the requested duration of {duration}.
+        Use emotion tags naturally in generative AI speech, incorporate them sparingly at key moments to enhance the dialogue's emotional context. 
+        Place tags like <laugh> for joy, <sigh> for frustration or relief, <chuckle> for mild amusement, <cough> or <sniffle> for discomfort, <groan> for displeasure, <yawn> for tiredness, and <gasp> for surprise. 
+        For example: "I can't believe I stayed up all night <yawn> only to find out the meeting was canceled <groan>. Oh well, at least I finished the project <chuckle>." 
+        Remember, use tags judiciously to maintain a natural flow of conversation.
         """
     
     response = model.generate_content(prompt)