I don't remember struggling so much with git...
This commit is contained in:
ForeverPyrite
2
.gitignore
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2
.gitignore
vendored
@@ -1,6 +1,6 @@
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log.md
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.env
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.vscode
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.vscode/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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3
.vscode/launch.json
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3
.vscode/launch.json
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@@ -8,9 +8,10 @@
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"name": "Python Debugger: Flask",
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"type": "debugpy",
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"request": "launch",
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"cwd": "./app",
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"module": "flask",
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"env": {
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"FLASK_APP": "app.py",
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"FLASK_APP": "./app.py",
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"FLASK_DEBUG": "1"
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},
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"args": [
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310
app/main.py
310
app/main.py
@@ -1,134 +1,244 @@
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# To parse video ids
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import re
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import threading
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import asyncio
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from asyncio import sleep
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from typing_extensions import override
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from datetime import datetime
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import pytz
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import os
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import logging
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import uuid
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# Youtube Transcript stuff import
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# Youtube Transcript imports
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import youtube_transcript_api._errors
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from youtube_transcript_api import YouTubeTranscriptApi
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from youtube_transcript_api.formatters import TextFormatter
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# OpenAI API stuff import
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# OpenAI API imports
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from openai import AssistantEventHandler
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from openai import OpenAI
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### For streaming
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from typing_extensions import override
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import asyncio
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# Load environment variables
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from dotenv import load_dotenv
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load_dotenv()
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# Initialize user stream dictionary
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user_streams = {}
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# Threading lock for thread safe stuff I think, idk it was used in the docs
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stream_lock = threading.Lock()
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# Handle async outside of async functions
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awaiter = asyncio.run
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# Configure logging
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try:
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logging.basicConfig(
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filename='./logs/main.log',
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level=logging.INFO,
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format='%(asctime)s %(levelname)s: %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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except FileNotFoundError as e:
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with open("./logs/main.log", "x"):
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pass
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logging.basicConfig(
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filename='./logs/main.log',
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level=logging.INFO,
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format='%(asctime)s %(levelname)s: %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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logging.info(f"No main.log file was found ({e}), so one was created.")
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# The StreamOutput class to handle streaming
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class StreamOutput:
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def __init__(self):
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self.delta: str = ""
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self.response: str = ""
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self.done: bool = False
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self.buffer: list = []
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def reset(self):
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self.delta = ""
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self.response = ""
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self.done = False
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self.buffer: list = []
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async def send_delta(self, delta):
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self.delta = delta
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self.response += delta
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def get_index(list):
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if len(list) == 0:
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return 0
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def __init__(self):
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self.delta: str = ""
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self.response: str = ""
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self.done: bool = False
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self.buffer: list = []
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def reset(self):
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self.delta = ""
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self.response = ""
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self.done = False
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self.buffer = []
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def send_delta(self, delta):
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awaiter(self.process_delta(delta))
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async def process_delta(self, delta):
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self.delta = delta
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self.response += delta
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def get_index(lst):
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if len(lst) == 0:
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return 0
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else:
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return len(lst) - 1
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if self.buffer:
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try:
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if self.delta != self.buffer[get_index(self.buffer)]:
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self.buffer.append(delta)
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except IndexError as index_error:
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logging.error(f"Caught IndexError: {str(index_error)}")
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self.buffer.append(delta)
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else:
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return len(list)-1
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if self.buffer != []:
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try:
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if self.delta != self.buffer[get_index(self.buffer)]:
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self.buffer.append(delta)
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except IndexError as index_error:
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log(f"\nCaught IndexError: {str(index_error)}")
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self.buffer.append(delta)
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else: self.buffer.append(delta)
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return
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# To get the env var
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from dotenv import load_dotenv
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import os
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load_dotenv()
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# For logging
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import pytz
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from datetime import datetime
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def log(message):
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try:
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with open("logs/log.md", "a") as file:
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file.write(message)
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except FileNotFoundError:
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with open("logs/log.md", "x+"):
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log(message)
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### OpenAI Config
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# OpenAI Config
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# Setting up OpenAI Client with API Key
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client = OpenAI(
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organization='org-7ANUFsqOVIXLLNju8Rvmxu3h',
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project="proj_NGz8Kux8CSka7DRJucAlDCz6",
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api_key=os.getenv("OPENAI_API_KEY")
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organization='org-7ANUFsqOVIXLLNju8Rvmxu3h',
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project="proj_NGz8Kux8CSka7DRJucAlDCz6",
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api_key=os.getenv("OPENAI_API_KEY")
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)
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# screw bardo assistant that is configured to make notes and 5Q&A based on any given YouTube Transcript
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# Screw Bardo Assistant ID
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asst_screw_bardo_id = "asst_JGFaX6uOIotqy5mIJnu3Yyp7"
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# This is copy and pasted straight up from the quickstart guide, just appending to an output buffer instead of directly printing:
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class EventHandler(AssistantEventHandler):
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@override
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def on_text_created(self, text) -> None:
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awaiter(output_stream.send_delta("Response Recieved:\n\nScrew-Bardo:\n\n"))
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# Event Handler for OpenAI Assistant
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class EventHandler(AssistantEventHandler):
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def __init__(self, output_stream: StreamOutput):
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super().__init__()
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self.output_stream = output_stream
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@override
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def on_text_delta(self, delta, snapshot):
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awaiter(output_stream.send_delta(delta.value))
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@override
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def on_text_created(self, text) -> None:
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self.output_stream.send_delta("Response Received:\n\nScrew-Bardo:\n\n")
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logging.info("Text created event handled.")
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def on_tool_call_created(self, tool_call):
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raise Exception("Assistant shouldn't be calling tools.")
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@override
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def on_text_delta(self, delta, snapshot):
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self.output_stream.send_delta(delta.value)
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logging.debug(f"Text delta received: {delta.value}")
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def create_and_stream(transcript):
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with client.beta.threads.create_and_run_stream(
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assistant_id=asst_screw_bardo_id,
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thread={
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"messages": [{"role": "user", "content": transcript}]
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},
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event_handler=EventHandler()
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) as stream:
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stream.until_done()
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output_stream.done = True
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def on_tool_call_created(self, tool_call):
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error_msg = "Assistant shouldn't be calling tools."
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logging.error(error_msg)
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raise Exception(error_msg)
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def create_and_stream(transcript, session_id):
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logging.info(f"Starting OpenAI stream thread for session {session_id}.")
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event_handler = EventHandler(user_streams[session_id]['output_stream'])
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try:
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with client.beta.threads.create_and_run_stream(
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assistant_id=asst_screw_bardo_id,
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thread={
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"messages": [{"role": "user", "content": transcript}]
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},
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event_handler=event_handler
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) as stream:
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stream.until_done()
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with stream_lock:
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user_streams[session_id]['output_stream'].done = True
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logging.info(f"OpenAI stream completed for session {session_id}.")
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except Exception as e:
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logging.exception(f"Exception occurred during create_and_stream for session {session_id}.")
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def yoink(session_id):
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logging.info(f"Starting stream for session {session_id}...")
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with stream_lock:
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user_data = user_streams.get(session_id)
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if not user_data:
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logging.critical(f"User data not found for session id {session_id}?")
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return # Session might have ended
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output_stream: StreamOutput = user_data.get('output_stream')
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thread: threading.Thread = user_data.get('thread')
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thread.start()
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while True:
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if not output_stream or not thread:
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logging.error(f"No output stream/thread for session {session_id}.\nThread: {thread.name if thread else "None"}")
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break
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if output_stream.done and not output_stream.buffer:
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break
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try:
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if output_stream.buffer:
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delta = output_stream.buffer.pop(0)
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yield bytes(delta, encoding="utf-8")
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else:
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asyncio.run(sleep(0.018))
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except Exception as e:
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logging.exception(f"Exception occurred during streaming for session {session_id}: {e}")
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break
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logging.info(f"Stream completed successfully for session {session_id}.")
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logging.info(f"Completed Assistant Response for session {session_id}:\n{output_stream.response}")
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with stream_lock:
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thread.join()
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del user_streams[session_id]
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logging.info(f"Stream thread joined and resources cleaned up for session {session_id}.")
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def process(url, session_id):
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# Should initialize the key in the dictionary
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current_time = datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')
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logging.info(f"New Entry at {current_time} for session {session_id}")
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logging.info(f"URL: {url}")
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video_id = get_video_id(url)
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if not video_id:
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logging.warning(f"Could not parse video id from URL: {url}")
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return (False, "Couldn't parse video ID from URL. (Are you sure you entered a valid YouTube.com or YouTu.be URL?)", 400)
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logging.info(f"Parsed Video ID: {video_id}")
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# Get the transcript for that video ID
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transcript = get_auto_transcript(video_id)
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if not transcript:
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logging.error(f"Error: could not retrieve transcript for session {session_id}. Assistant won't be called.")
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return (False, "Successfully parsed video ID from URL, however the ID was either invalid, the transcript was disabled by the video owner, or some other error was raised because of YouTube.", 200)
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user_streams[session_id] = {
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'output_stream': None, # Ensure output_stream is per user
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'thread': None
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}
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# Create a new StreamOutput for the session
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with stream_lock:
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user_streams[session_id]['output_stream'] = StreamOutput()
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thread = threading.Thread(
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name=f"create_stream_{session_id}",
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target=create_and_stream,
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args=(transcript, session_id)
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)
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user_streams[session_id]['thread'] = thread
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logging.info(f"Stream preparation complete for session {session_id}, sending reply.")
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return (True, None, None)
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def get_video_id(url):
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youtu_be = r'(?<=youtu.be/)([A-Za-z0-9_-]{11})'
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youtube_com = r'(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})'
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id = re.search(youtu_be, url)
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if not id:
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id = re.search(youtube_com, url)
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if not id:
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# Couldn't parse video ID from URL
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return None
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return id.group(1)
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youtu_be = r'(?<=youtu.be/)([A-Za-z0-9_-]{11})'
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youtube_com = r'(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})'
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id_match = re.search(youtu_be, url)
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if not id_match:
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id_match = re.search(youtube_com, url)
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if not id_match:
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# Couldn't parse video ID from URL
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logging.warning(f"Failed to parse video ID from URL: {url}")
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return None
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return id_match.group(1)
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# Takes the transcript and formats it in basic text before writing it to auto-transcript.txt
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def get_auto_transcript(video_id):
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trans_api_errors = youtube_transcript_api._errors
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try:
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transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['en'], proxies=None, cookies=None, preserve_formatting=False)
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except trans_api_errors.TranscriptsDisabled as e:
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log(f'\n\n# Exception while fetching transcript:\n \n{e}\n')
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return None
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formatter = TextFormatter() # Ensure that you create an instance of TextFormatter
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trans_api_errors = youtube_transcript_api._errors
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try:
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transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['en'], proxies=None, cookies=None, preserve_formatting=False)
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except trans_api_errors.TranscriptsDisabled as e:
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logging.exception(f"Exception while fetching transcript: {e}")
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return None
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txt_transcript = formatter.format_transcript(transcript)
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return txt_transcript
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formatter = TextFormatter() # Ensure that you create an instance of TextFormatter
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txt_transcript = formatter.format_transcript(transcript)
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logging.info("Transcript successfully retrieved and formatted.")
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return txt_transcript
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# Initialize output stream
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output_stream = StreamOutput()
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log(f"\n\n# Main initilized at {datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')}. Presumeably application starting.\n")
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logging.info(f"Main initialized at {datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')}. Presumably application starting.")
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