update: live event prompt

app.py

@@ -331,6 +331,7 @@ def get_initial_analysis(
     """Perform initial analysis of the transcript using OpenAI."""
     try:
         transcript = transcript_processor.get_transcript()
+        speaker_mapping = transcript_processor.speaker_mapping
         client = OpenAI()
         if "localhost" in origin:
             link_start = "http"
@@ -382,7 +383,9 @@ Total takes: 2
 - [Take 1. <div id='topic' style="display: inline"> 20s at 25:45]({link_start}://{{origin}}/collab/{{cid}}/{{rsid}}?st={{1245}}&et={{1265}})
 - [Take 3 (Best). <div id='topic' style="display: inline"> 5s at 10:13 </div>]({link_start}://roll.ai/colab/1234aq_12314/51234151?st=613&et=618)"""
         else:
-            prompt = f"""<div id="initial_message"> Given the transcript {transcript}, analyze all speakers' discussions and list out people, news, events, trends, and sources mentioned. For each speaker, provide at least 3 topics that would make engaging social media clips. Include timestamp and duration for each topic.
+            prompt = f"""<div id="initial_message"> Given the following transcript with Speakers: {", ".join([speaker for speaker in speaker_mapping.values()])}. Transcript:
+{transcript}
+Analyze all speakers' discussions and list out people, news, events, trends, and sources mentioned. For each speaker, provide at least 3 topics that would make engaging social media clips. Include duration and starting time for each topic.
 
 Format the output as follows:
 
@@ -406,7 +409,7 @@ URL format: {link_start}://{{origin}}/collab/{{cid}}/{{rsid}}?st={{start_time_in
 
 Rank topics based on their potential virality and engagement for social media clips. </div>
 """
-
+        print(prompt)
         completion = client.chat.completions.create(
             model="gpt-4o-mini",
             messages=[