AhmadMustafa commited on
Commit
37f2606
·
1 Parent(s): fd51374

hardcode: msg for cid

Browse files
Files changed (1) hide show
  1. app.py +51 -0
app.py CHANGED
@@ -23,7 +23,58 @@ client = OpenAI()
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  def get_initial_analysis(
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  transcript_processor: TranscriptProcessor, cid, rsid, origin, ct, uid
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  ) -> Generator[str, None, None]:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """Perform initial analysis of the transcript using OpenAI."""
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  try:
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  transcript = transcript_processor.get_transcript()
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  speaker_mapping = transcript_processor.speaker_mapping
 
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  def get_initial_analysis(
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  transcript_processor: TranscriptProcessor, cid, rsid, origin, ct, uid
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  ) -> Generator[str, None, None]:
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+ # {
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+ # "p_name": "Roll4 Demo",
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+ # "p_email": "roll.demo.4@gmail.com",
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+ # "p_uid": "56a82610-5a8d-11ef-a41a-02aa9bfd29a3",
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+ # "p_role": "GUEST",
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+ # "p_id": 10952,
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+ # "f_id": "F759EDEC-9299-49BB-9759-52BB877F534E",
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+ # "f_name": "F2 Roll4D iPhone2x",
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+ # "f_type": "2x",
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+ # "callId": "9v3b-j426-kxxv_2024-11-19T204924",
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+ # "callDeviceId": "BDE690C3-E197-41E9-BC56-3E3AE2CD5A62",
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+ # "recordingSessionId": "2024-11-19T223131",
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+ # "time": "19 Nov 2024, 22:31:31",
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+ # "timestamp": 1732055491000,
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+ # "timerange": "1732054891000 - 1732059091000",
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+ # }
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  """Perform initial analysis of the transcript using OpenAI."""
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+ if cid == "9v3b-j426-kxxv_2024-11-19T204924" and rsid == "2024-11-19T223131":
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+ hardcoded_message = """**Mala Ramakrishnan**
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+ 1. [Introduction and Event Overview <div id='topic' style=&quot;display: inline&quot;> 40s at 03:20 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=200&et=240&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+ 2. [Advice for Startup Founders <div id='topic' style=&quot;display: inline&quot;> 45s at 26:10 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=1570&et=1615&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+
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+ **Raymond Lee**
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+ 1. [Event Introduction and Agenda <div id='topic' style=&quot;display: inline&quot;> 120s at 00:39 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=39&et=159&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+ 2. [Introduction of Mala Ramakrishnan <div id='topic' style=&quot;display: inline&quot;> 20s at 02:51 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=171&et=191&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+
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+ **Vince Lane**
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+ 1. [Introduction and Background <div id='topic' style=&quot;display: inline&quot;> 60s at 04:42 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=282&et=342&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+ 2. [Advice for Founders <div id='topic' style=&quot;display: inline&quot;> 60s at 19:48 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=1188&et=1248&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+
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+ **Marriott Wharton**
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+ 1. [Introduction and Investment Focus <div id='topic' style=&quot;display: inline&quot;> 60s at 06:36 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=396&et=456&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+ 2. [AI as a Fundamental Tool <div id='topic' style=&quot;display: inline&quot;> 60s at 08:39 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=519&et=579&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+
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+ **spk_2**
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+ 1. [Introduction and Investment Focus <div id='topic' style=&quot;display: inline&quot;> 60s at 05:56 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=356&et=416&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)
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+ 2. [Caution in AI Investments <div id='topic' style=&quot;display: inline&quot;> 60s at 10:50 </div>](https://rd3.app.roll.ai/collab/9v3b-j426-kxxv_2024-11-19T204924/2024-11-19T223131?st=650&et=710&uid=85146aaa-dfa4-11ee-8665-02aa9bfd29a3)"
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+ """
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+
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+ collected_message = ""
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+ chunks = [
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+ hardcoded_message[i : i + 10] for i in range(0, len(hardcoded_message), 10)
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+ ]
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+
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+ import time
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+
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+ for chunk in chunks:
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+ collected_message += chunk
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+ yield collected_message
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+ time.sleep(0.05)
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+ return
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+
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  try:
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  transcript = transcript_processor.get_transcript()
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  speaker_mapping = transcript_processor.speaker_mapping