From 764e03bde0b78c0892314e9ee11f740241cff7a8 Mon Sep 17 00:00:00 2001
From: Mike <kryptk@gmail.com>
Date: Thu, 28 Dec 2023 15:32:24 -0500
Subject: [PATCH] roller with chatgpt json

---
 roller-chatgpt-v2.py | 86 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 86 insertions(+)
 create mode 100644 roller-chatgpt-v2.py

diff --git a/roller-chatgpt-v2.py b/roller-chatgpt-v2.py
new file mode 100644
index 0000000..1dcde54
--- /dev/null
+++ b/roller-chatgpt-v2.py
@@ -0,0 +1,86 @@
+#!/usr/bin/env python3
+from jinja2 import Template
+import json
+
+prompt_template = """
+Continue the rolling transcription summary of "{{title}}".  Consider the current context when summarizing the given transcription part.
+
+### Context: {{ context }}
+Speaker-Map: {{ speakermap }}
+
+### Transcription part {{ idx }} of {{ len }}, start time {{ start }}:
+{{ chunk }}
+
+### Instruction: Using the Context above, analyze the Trasncription and respond with a JSON object in this form:
+
+{
+    "Speaker-Map": { "SPEAKER 1": "Bob Dole", "SPEAKER 2": "Jane Doe" } // A map of speakers to their names, make sure to remember all previous speakers.
+    "Next-Context": "..." // An updated context for the next part of the transcription. Always include the speakers and the current topics of discussion.
+    "Summary": "..." // A detailed, point-by-point summary of the current transcription.
+}
+"""
+
+from openai import OpenAI
+
+client = OpenAI()
+
+def main(prefix: str, init_speakers: str = ""):
+    the_template = Template(prompt_template)
+
+    split_segments = json.load(open(prefix+'.chunk.json'))
+    info = json.load(open(prefix+'.info.json'))
+
+    context = f"""
+    Video Title: {info['title']}
+    Video Description: {info['description'][:1024]}
+    """
+    
+    speakers = "{ UNKNOWN }"
+
+    f = open(prefix+'.summary.json', 'w')
+    idx = 0
+    for chunk in split_segments:
+        dur = chunk['end'] - chunk['start']
+        print(f"{idx}: {dur}s {len(chunk)}")
+
+        prompt = the_template.render(chunk=chunk['text'], start=chunk['start'], end=chunk['end'],
+                                     idx=idx, len=len(split_segments), context=context, speakermap=speakers, title=info['title'])
+        
+        messages = [{'role': 'user', 'content': prompt }]
+        response = client.chat.completions.create(messages=messages,model='gpt-3.5-turbo-1106',temperature=0.1,max_tokens=1024, response_format={ "type": "json_object" })
+
+        answer = response.choices[0].message.content
+        
+        parsed = json.loads(answer)
+        
+        summary = parsed.get('Summary','')
+        new_speakers = parsed.get('Speaker-Map','')
+        new_context = parsed.get('Next-Context','')
+        
+        if summary == '' or new_context == '' or new_speakers == '':
+            print('extraction failed:', new_context, new_speakers, summary)
+            exit(1)
+        else:
+            section = {
+                'start': chunk['start'],
+                'end': chunk['end'],
+                'summary': summary,
+                'speakers': new_speakers,
+                'context': new_context
+            }
+            print('## ', new_speakers)
+            print('>> ', new_context)
+            print(summary)
+            print()
+            
+            f.write(json.dumps(section)+'\n')
+            f.flush()
+
+            context = new_context
+            speakers = new_speakers
+
+        idx = idx + 1
+
+if __name__ == "__main__":
+    import fire
+    fire.Fire(main)
\ No newline at end of file