Dockerized

.dockerignore

@@ -0,0 +1,12 @@
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+*.env
+*venv/
+.env
+*.git
+.gitignore
+Dockerfile
+docker-compose.yml
+log.md

Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set work directory
+WORKDIR /app
+
+# Install Python dependencies
+COPY requirements.txt .
+RUN pip install --upgrade pip
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application files
+COPY . /app
+
+# Make start.sh executable
+RUN chmod +x start.sh
+
+# Expose the port the app runs on
+EXPOSE 1986
+
+# Specify the entrypoint script
+ENTRYPOINT ["./start.sh"]

app/main.py

@@ -1,129 +1,129 @@
-# To parse video ids
-import re
-
-# Youtube Transcript stuff import
-import youtube_transcript_api._errors
-from youtube_transcript_api import YouTubeTranscriptApi
-from youtube_transcript_api.formatters import TextFormatter
-
-# OpenAI API stuff import
-from openai import AssistantEventHandler
-from openai import OpenAI
-
-### For streaming
-from typing_extensions import override
-import asyncio
-awaiter = asyncio.run
-
-# The StreamOutput class to handle streaming
-class StreamOutput:
-  
-  def __init__(self):
-    self.delta: str = ""
-    self.response: str = ""
-    self.done: bool = False
-    self.buffer: list = []
-  
-  def reset(self):
-    self.delta = ""
-    self.response = ""
-    self.done = False
-    self.buffer: list = []
-    
-  async def send_delta(self, delta):
-      self.delta = delta
-      self.response += delta
-      def get_index(list):
-        if len(list) == 0:  
-          return 0
-        else:
-          return len(list)-1
-      if self.buffer != []:
-        try:
-          if self.delta != self.buffer[get_index(self.buffer)]:
-            self.buffer.append(delta)
-        except IndexError as index_error:
-          log(f"\nCaught IndexError: {str(index_error)}")
-          self.buffer.append(delta)
-      else: self.buffer.append(delta)
-
-# To get the env var
-from dotenv import load_dotenv
-import os
-
-load_dotenv()
-
-# For logging
-import pytz
-from datetime import datetime
-
-def log(str):
-  with open("log.md", "at") as file:
-    file.write(str)
-
-### OpenAI Config 
-
-# Setting up OpenAI Client with API Key
-api_key = os.getenv("OPENAI_API_KEY")
-client = OpenAI(
-  organization='org-7ANUFsqOVIXLLNju8Rvmxu3h',
-  project="proj_NGz8Kux8CSka7DRJucAlDCz6",
-  api_key=api_key
-)
-
-# screw bardo assistant that is configured to make notes and 5Q&A based on any given YouTube Transcript
-asst_screw_bardo_id = "asst_JGFaX6uOIotqy5mIJnu3Yyp7"
-
-# This is copy and pasted straight up from the quickstart guide, just appending to an output buffer instead of directly printing:
-class EventHandler(AssistantEventHandler):    
-  @override
-  def on_text_created(self, text) -> None:
-    awaiter(output_stream.send_delta("Response Recieved:\n\nScrew-Bardo:\n\n"))
-  
-  @override
-  def on_text_delta(self, delta, snapshot):
-      awaiter(output_stream.send_delta(delta.value))
-
-  def on_tool_call_created(self, tool_call):
-      raise Exception("Assistant shouldn't be calling tools.")
-
-def create_and_stream(transcript):
-  with client.beta.threads.create_and_run_stream(
-      assistant_id=asst_screw_bardo_id,
-      thread={
-          "messages": [{"role": "user", "content": transcript}]
-      },
-      event_handler=EventHandler()
-  ) as stream:
-      stream.until_done()
-      output_stream.done = True
-
-def get_video_id(url):
-  youtu_be = r'(?<=youtu.be/)([A-Za-z0-9_-]{11})'
-  youtube_com = r'(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})'
-  
-  id = re.search(youtu_be, url)
-  if not id:
-      id = re.search(youtube_com, url)
-  
-  if not id:
-      # Couldn't parse video ID from URL
-      return None
-  
-  return id.group(1)
-
-# Takes the transcript and formats it in basic text before writing it to auto-transcript.txt
-def get_auto_transcript(video_id):
-  trans_api_errors = youtube_transcript_api._errors
-  try:
-    transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['en'], proxies=None, cookies=None, preserve_formatting=False)
-  except trans_api_errors.TranscriptsDisabled as e:
-    log(f'\n\n# Exception while fetching transcript:\n \n{e}\n')
-    return None
-    
-  formatter = TextFormatter()  # Ensure that you create an instance of TextFormatter
-
-  txt_transcript = formatter.format_transcript(transcript)
-  return txt_transcript
-
+# To parse video ids
+import re
+
+# Youtube Transcript stuff import
+import youtube_transcript_api._errors
+from youtube_transcript_api import YouTubeTranscriptApi
+from youtube_transcript_api.formatters import TextFormatter
+
+# OpenAI API stuff import
+from openai import AssistantEventHandler
+from openai import OpenAI
+
+### For streaming
+from typing_extensions import override
+import asyncio
+awaiter = asyncio.run
+
+# The StreamOutput class to handle streaming
+class StreamOutput:
+  
+  def __init__(self):
+    self.delta: str = ""
+    self.response: str = ""
+    self.done: bool = False
+    self.buffer: list = []
+  
+  def reset(self):
+    self.delta = ""
+    self.response = ""
+    self.done = False
+    self.buffer: list = []
+    
+  async def send_delta(self, delta):
+      self.delta = delta
+      self.response += delta
+      def get_index(list):
+        if len(list) == 0:  
+          return 0
+        else:
+          return len(list)-1
+      if self.buffer != []:
+        try:
+          if self.delta != self.buffer[get_index(self.buffer)]:
+            self.buffer.append(delta)
+        except IndexError as index_error:
+          log(f"\nCaught IndexError: {str(index_error)}")
+          self.buffer.append(delta)
+      else: self.buffer.append(delta)
+
+# To get the env var
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+# For logging
+import pytz
+from datetime import datetime
+
+def log(str):
+  with open("log.md", "at") as file:
+    file.write(str)
+
+### OpenAI Config 
+
+# Setting up OpenAI Client with API Key
+api_key = os.getenv("OPENAI_API_KEY")
+client = OpenAI(
+  organization='org-7ANUFsqOVIXLLNju8Rvmxu3h',
+  project="proj_NGz8Kux8CSka7DRJucAlDCz6",
+  api_key=api_key
+)
+
+# screw bardo assistant that is configured to make notes and 5Q&A based on any given YouTube Transcript
+asst_screw_bardo_id = "asst_JGFaX6uOIotqy5mIJnu3Yyp7"
+
+# This is copy and pasted straight up from the quickstart guide, just appending to an output buffer instead of directly printing:
+class EventHandler(AssistantEventHandler):    
+  @override
+  def on_text_created(self, text) -> None:
+    awaiter(output_stream.send_delta("Response Recieved:\n\nScrew-Bardo:\n\n"))
+  
+  @override
+  def on_text_delta(self, delta, snapshot):
+      awaiter(output_stream.send_delta(delta.value))
+
+  def on_tool_call_created(self, tool_call):
+      raise Exception("Assistant shouldn't be calling tools.")
+
+def create_and_stream(transcript):
+  with client.beta.threads.create_and_run_stream(
+      assistant_id=asst_screw_bardo_id,
+      thread={
+          "messages": [{"role": "user", "content": transcript}]
+      },
+      event_handler=EventHandler()
+  ) as stream:
+      stream.until_done()
+      output_stream.done = True
+
+def get_video_id(url):
+  youtu_be = r'(?<=youtu.be/)([A-Za-z0-9_-]{11})'
+  youtube_com = r'(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})'
+  
+  id = re.search(youtu_be, url)
+  if not id:
+      id = re.search(youtube_com, url)
+  
+  if not id:
+      # Couldn't parse video ID from URL
+      return None
+  
+  return id.group(1)
+
+# Takes the transcript and formats it in basic text before writing it to auto-transcript.txt
+def get_auto_transcript(video_id):
+  trans_api_errors = youtube_transcript_api._errors
+  try:
+    transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['en'], proxies=None, cookies=None, preserve_formatting=False)
+  except trans_api_errors.TranscriptsDisabled as e:
+    log(f'\n\n# Exception while fetching transcript:\n \n{e}\n')
+    return None
+    
+  formatter = TextFormatter()  # Ensure that you create an instance of TextFormatter
+
+  txt_transcript = formatter.format_transcript(transcript)
+  return txt_transcript
+
 output_stream = StreamOutput()

docker-compose.yml

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+version: '3.8'
+
+services:
+  app:
+    build: .
+    container_name: screw-bardo-container
+    ports:
+      - "1986:1986"
+    env_file:
+      - .env
+    volumes:
+      - ./logs:/app/logs
+    restart: unless-stopped

start.sh

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+#!/bin/bash
+cd ./app
+exec gunicorn -b 0.0.0.0:1986 --log-level debug app:app