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Modernized and simplified the app.

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This wasn't a crazy rewrite or anything, I just updated it to the new
YouTube Transcript and OpenAI API's, as well as super simplifying the
code. On top of that, it now works single threaded, just using multiple
gunicorn threads for concurrency. It's a lot simplier and cleaner,
although not up to my current standards.
This commit is contained in:
foreverpyrite
2025-11-03 22:43:15 -06:00
parent c6b608f125
commit 1fd6711da0
12 changed files with 850 additions and 409 deletions
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1
.python-version Normal file
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@@ -0,0 +1 @@
3.13

18
Dockerfile
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@@ -1,30 +1,20 @@
# Use an official Python runtime as a parent image
FROM python:3.13-slim
FROM ghcr.io/astral-sh/uv:debian
# 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 && pip install --no-cache-dir -r requirements.txt
# Copy application files
COPY /app /app
COPY ./app /app
# Copy the pyproject.toml and uv.lock because this project's structure is chopped
COPY ./pyproject.toml ./uv.lock /app
# Make start.sh executable
RUN chmod +x /app/start.sh
# Expose the port the app runs on
EXPOSE 1986
# Specify the entrypoint script
ENTRYPOINT ["/app/start.sh"]

69
app/app.py
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@@ -1,21 +1,16 @@
import logging
import os
import uuid
from flask import Flask, render_template, Response, request, session
from main import yoink, process, user_streams, stream_lock
from flask import Flask, render_template, request, session
# Only used for the main.process function, but it feels right to have that over just "process"
import main
app = Flask(__name__, static_folder="website/static", template_folder="website")
app.secret_key = os.urandom(24) # Necessary for using sessions
# Configure logging
logging.basicConfig(
filename='./logs/app.log',
level=logging.DEBUG,
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
def create_session():
def create_session() -> str:
"""
Create a new session by generating a UUID and ensuring it does not collide
with an existing session in the user_streams global dictionary.
@@ -23,16 +18,10 @@ def create_session():
Returns:
str: A unique session ID.
"""
session_id = str(uuid.uuid4())
# Even though collisions are unlikely, we check for safety.
try:
if user_streams[session_id]:
session_id = create_session()
except KeyError:
pass
return session_id
return uuid.uuid4().hex
@app.route('/')
@app.get("/")
def home():
"""
Render the home page and initialize a session.
@@ -41,50 +30,34 @@ def home():
Response: The rendered home page with a unique session id.
"""
session_id = create_session()
session['id'] = session_id
session["id"] = session_id
logging.info(f"Home page accessed. Assigned initial session ID: {session_id}")
return render_template('index.html', session_id=session_id)
return render_template("index.html", session_id=session_id)
@app.route('/process_url', methods=['POST'])
@app.post("/process-url")
def process_url():
"""
Accept a YouTube URL (from a form submission), initialize the session if necessary,
and trigger the transcript retrieval and AI processing.
Returns:
Response: Text response indicating start or error message.
Response: The results of processing the url.
"""
session_id = session.get('id')
session_id = session.get("id")
if not session_id:
session_id = create_session()
session['id'] = session_id
session["id"] = session_id
logging.info(f"No existing session. Created new session ID: {session_id}")
url = request.form['url']
url = request.form["url"]
logging.info(f"Received URL for processing from session {session_id}: {url}")
success, msg, status_code = process(url, session_id)
if success:
logging.info(f"Processing started successfully for session {session_id}.")
return Response("Processing started. Check /stream_output for updates.", content_type='text/plain', status=200)
else:
logging.error(f"Processing failed for session {session_id}: {msg}")
return Response(msg, content_type='text/plain', status=status_code)
# Before I had process return stuff in the form of (success: bool, msg: str, status: int)
# I don't know why I was doing all that back then, it's not like it was a library or anything
# I planned on using on other projects...
return main.process(url, session_id)
@app.route('/stream_output')
def stream_output():
"""
Stream the AI processing output for the current session.
Returns:
Response: A streaming response with text/plain content.
"""
session_id = session.get('id')
if not session_id or session_id not in user_streams:
logging.warning(f"Stream requested without a valid session ID: {session_id}")
return Response("No active stream for this session.", content_type='text/plain', status=400)
logging.info(f"Streaming output requested for session {session_id}.")
return Response(yoink(session_id), content_type='text/plain', status=200)
if __name__ == '__main__':
if __name__ == "__main__":
logging.info("Starting Flask application.")
# Running with threaded=True to handle multiple requests concurrently.
app.run(debug=True, threaded=True)

364
app/main.py
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@@ -3,15 +3,16 @@ Main module that handles processing of YouTube transcripts and connecting to the
Each user session has its own output stream and thread to handle the asynchronous AI response.
"""
from http import HTTPStatus
import re
import threading
import asyncio
from asyncio import sleep
from datetime import datetime
from flask import Response
from collections.abc import Generator
import pytz
import os
import logging
import uuid
# Youtube Transcript imports
import youtube_transcript_api._errors
@@ -19,11 +20,34 @@ from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import TextFormatter
# OpenAI API imports
from openai import AssistantEventHandler
from openai import OpenAI
from dotenv import load_dotenv
load_dotenv()
# Configure logging
try:
logging.basicConfig(
filename="./logs/main.log",
level=logging.INFO,
format="%(asctime)s %(levelname)s: %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
# FIX: Bruh what is this :joy:
except FileNotFoundError as e:
with open("./logs/main.log", "x"):
pass
logging.basicConfig(
filename="./logs/main.log",
level=logging.INFO,
format="%(asctime)s %(levelname)s: %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
logging.info(f"No main.log file was found ({e}), so one was created.")
if not load_dotenv():
logging.fatal(
"Error loading dotenv, your goose is very likely to be cooked (no OpenAI API Key </3)"
)
# Global dict for per-user session streams.
user_streams = {}
@@ -33,219 +57,80 @@ stream_lock = threading.Lock()
# For running async code in non-async functions.
awaiter = asyncio.run
# Configure logging
try:
logging.basicConfig(
filename='./logs/main.log',
level=logging.INFO,
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
except FileNotFoundError as e:
with open("./logs/main.log", "x"):
pass
logging.basicConfig(
filename='./logs/main.log',
level=logging.INFO,
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
logging.info(f"No main.log file was found ({e}), so one was created.")
class StreamOutput:
"""
Class to encapsulate a session's streaming output.
Attributes:
delta (str): Last delta update.
response (str): Cumulative response from the AI.
done (bool): Flag indicating if streaming is complete.
buffer (list): List of output delta strings pending streaming.
"""
def __init__(self):
self.delta: str = ""
self.response: str = ""
self.done: bool = False
self.buffer: list = []
def reset(self):
"""
Reset the stream output to its initial state.
"""
self.delta = ""
self.response = ""
self.done = False
self.buffer = []
def send_delta(self, delta):
"""
Process a new delta string. This method is a synchronous wrapper that calls the async
method process_delta.
Args:
delta (str): The delta string to process.
"""
awaiter(self.process_delta(delta))
async def process_delta(self, delta):
"""
Process a new delta chunk asynchronously to update buffering.
Args:
delta (str): The delta portion of the response.
"""
self.delta = delta
self.response += delta
def get_index(lst):
return 0 if not lst else len(lst) - 1
if self.buffer:
try:
if self.delta != self.buffer[get_index(self.buffer)]:
self.buffer.append(delta)
except IndexError as index_error:
logging.error(f"Caught IndexError: {str(index_error)}")
self.buffer.append(delta)
else:
self.buffer.append(delta)
return
# OpenAI Client configuration
client = OpenAI(
organization='org-7ANUFsqOVIXLLNju8Rvmxu3h',
project="proj_NGz8Kux8CSka7DRJucAlDCz6",
api_key=os.getenv("OPENAI_API_KEY")
organization=os.getenv("OPENAI_ORG"),
project=os.getenv("OPENAI_PROJ"),
api_key=os.getenv("OPENAI_API_KEY"),
)
prompt_env = os.getenv("OPENAI_PROMPT")
# No .unwrap or .expect function </3
if prompt_env is None or not prompt_env.strip():
logging.fatal(
"No ENV var set for OPENAI_PROMPT, unable to submit instructions to AI."
)
raise ValueError("The OPENAI_PROMPT environment variable is not set")
asst_screw_bardo_id = "asst_JGFaX6uOIotqy5mIJnu3Yyp7" # Assistant ID for processing
prompt_id = prompt_env
class EventHandler(AssistantEventHandler):
"""
Event handler for processing OpenAI assistant events.
Attributes:
output_stream (StreamOutput): The output stream to write updates to.
"""
def __init__(self, output_stream: StreamOutput):
"""
Initialize the event handler with a specific output stream.
def create_and_stream(transcript: str) -> Generator[str, None, str]:
stream = client.responses.create(
model="gpt-4.1-mini",
prompt={
"id": "pmpt_69097600a25c8190ba77a32457973dcd087a89928ce72d22",
"version": "1",
},
input=[{"role": "user", "content": transcript}],
stream=True,
)
for event in stream:
# behold, one of the most bloated match statements ever.
# because of my uneeded comments, of course
# wouldn't have it any other way
match event.type:
case "response.created":
# TODO: Should the user really see this?
# Logging is fine, but there has to be some kind of idenfitier for responses, right?
logging.info("Stream {stream_id} created for response.")
yield "Transcript submitted to AI.\n\n"
case "response.output_text.delta":
# This is where the cash money money cash is
# Could put a diobolical debug statement here
yield event.delta
case "response.output_text.done":
# TODO: Again, should the user really see this?
# Newsflash: they don't since it's not yeilded!
logging.info("Stream {stream_id} completed")
return "\nAI response end."
case "error":
# HACK: In order to abide by the type checking, since I don't know how it'll handle errors
# Since the loop is handled by Flask and not me idk what it'll do with that iterator
# No I'm not writing another Generator for it.
err_msg = event.message
logging.error(f"Error while streaming: {err_msg}")
return str(ValueError(err_msg))
# NOTE: For debug, really.
# There are many events that I likely don't care about and would bloat a log
case _:
logging.warning(
f"Unhandled event type: {event.type}\nEvent contents: {event}"
)
continue
# TODO: Decide the severity
logging.critical(
"Generator returned early, likely an error with the stream that wasn't reported"
)
# HACK: Same deal as the "error" case.
return str(
ValueError(
"OpenAI never reported response done, so response may be incomplete."
)
)
Args:
output_stream (StreamOutput): The session specific stream output instance.
"""
super().__init__()
self.output_stream = output_stream
def on_text_created(self, text) -> None:
"""
Event triggered when text is first created.
Args:
text (str): The initial response text.
"""
self.output_stream.send_delta("Response Received:\n\nScrew-Bardo:\n\n")
logging.info("Text created event handled.")
def on_text_delta(self, delta, snapshot):
"""
Event triggered when a new text delta is available.
Args:
delta (Any): Object that contains the new delta information.
snapshot (Any): A snapshot of the current output (if applicable).
"""
self.output_stream.send_delta(delta.value)
logging.debug(f"Text delta received: {delta.value}")
def on_tool_call_created(self, tool_call):
"""
Handle the case when the assistant attempts to call a tool.
Raises an exception as this behavior is unexpected.
Args:
tool_call (Any): The tool call info.
Raises:
Exception: Always, since tool calls are not allowed.
"""
error_msg = "Assistant shouldn't be calling tools."
logging.error(error_msg)
raise Exception(error_msg)
def create_and_stream(transcript, session_id):
"""
Create a new thread that runs the OpenAI stream for a given session and transcript.
Args:
transcript (str): The transcript from the YouTube video.
session_id (str): The unique session identifier.
"""
logging.info(f"Starting OpenAI stream thread for session {session_id}.")
event_handler = EventHandler(user_streams[session_id]['output_stream'])
try:
with client.beta.threads.create_and_run_stream(
assistant_id=asst_screw_bardo_id,
thread={
"messages": [{"role": "user", "content": transcript}]
},
event_handler=event_handler
) as stream:
stream.until_done()
with stream_lock:
user_streams[session_id]['output_stream'].done = True
logging.info(f"OpenAI stream completed for session {session_id}.")
except Exception as e:
logging.exception(f"Exception occurred during create_and_stream for session {session_id}.")
def yoink(session_id):
"""
Generator that yields streaming output for a session.
This function starts the AI response thread, then continuously yields data from the session's output buffer
until the response is marked as done.
Args:
session_id (str): The unique session identifier.
Yields:
bytes: Chunks of the AI generated response.
"""
logging.info(f"Starting stream for session {session_id}...")
with stream_lock:
user_data = user_streams.get(session_id)
if not user_data:
logging.critical(f"User data not found for session id {session_id}?")
return
output_stream: StreamOutput = user_data.get('output_stream')
thread: threading.Thread = user_data.get('thread')
thread.start()
while True:
if not output_stream or not thread:
logging.error(f"No output stream/thread for session {session_id}.")
break
# Stop streaming when done and there is no pending buffered output.
if output_stream.done and not output_stream.buffer:
break
try:
if output_stream.buffer:
delta = output_stream.buffer.pop(0)
yield bytes(delta, encoding="utf-8")
else:
# A short sleep before looping again
asyncio.run(sleep(0.018))
except Exception as e:
logging.exception(f"Exception occurred during streaming for session {session_id}: {e}")
break
logging.info(f"Stream completed successfully for session {session_id}.")
logging.info(f"Completed Assistant Response for session {session_id}:\n{output_stream.response}")
with stream_lock:
thread.join()
# Clean up the session data once done.
del user_streams[session_id]
logging.info(f"Stream thread joined and resources cleaned up for session {session_id}.")
def process(url, session_id):
def process(url: str, session_id: str) -> Response:
"""
Process a YouTube URL: parse the video id, retrieve its transcript, and prepare the session for AI processing.
@@ -254,38 +139,40 @@ def process(url, session_id):
session_id (str): The unique session identifier.
Returns:
tuple: (success (bool), message (str or None), status_code (int or None))
Response: The proper HTTP response based off what goes on in this here backend
"""
current_time = datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')
# Current time for logging I assume
current_time = datetime.now(pytz.timezone("America/New_York")).strftime(
"%Y-%m-%d %H:%M:%S"
)
# hey wadda ya know
logging.info(f"New Entry at {current_time} for session {session_id}")
logging.info(f"URL: {url}")
# Parse video id out of user submitted url
video_id = get_video_id(url)
# If there is no video id
if not video_id:
logging.warning(f"Could not parse video id from URL: {url}")
return (False, "Couldn't parse video ID from URL. (Are you sure you entered a valid YouTube.com or YouTu.be URL?)", 400)
return Response(
"Couldn't parse video ID from URL. (Are you sure you entered a valid YouTube.com or YouTu.be URL?)",
HTTPStatus.BAD_REQUEST,
)
logging.info(f"Parsed Video ID: {video_id}")
transcript = get_auto_transcript(video_id)
if not transcript:
logging.error(f"Error: could not retrieve transcript for session {session_id}. Assistant won't be called.")
return (False, "Successfully parsed video ID from URL, however the transcript was disabled by the video owner or invalid.", 200)
# Initialize session data for streaming.
user_streams[session_id] = {
'output_stream': None,
'thread': None
}
with stream_lock:
user_streams[session_id]['output_stream'] = StreamOutput()
thread = threading.Thread(
name=f"create_stream_{session_id}",
target=create_and_stream,
args=(transcript, session_id)
logging.error(
f"Error: could not retrieve transcript for session {session_id}. Assistant won't be called."
)
return Response(
"Successfully parsed video ID from URL, however the transcript was disabled by the video owner or invalid.",
HTTPStatus.INTERNAL_SERVER_ERROR,
)
user_streams[session_id]['thread'] = thread
logging.info(f"Stream preparation complete for session {session_id}, sending reply.")
return (True, None, None)
def get_video_id(url):
# Hello
return Response(create_and_stream(transcript), HTTPStatus.OK)
def get_video_id(url: str):
"""
Extract the YouTube video ID from a URL.
@@ -295,8 +182,10 @@ def get_video_id(url):
Returns:
str or None: The video ID if found, otherwise None.
"""
youtu_be = r'(?<=youtu.be/)([A-Za-z0-9_-]{11})'
youtube_com = r'(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})'
# I was going to add trimming but I think the JavaScript does it
# and I hate JavaScript too much to go look for it
youtu_be = r"(?<=youtu.be/)([A-Za-z0-9_-]{11})"
youtube_com = r"(?<=youtube\.com\/watch\?v=)([A-Za-z0-9_-]{11})"
id_match = re.search(youtu_be, url)
if not id_match:
id_match = re.search(youtube_com, url)
@@ -305,7 +194,8 @@ def get_video_id(url):
return None
return id_match.group(1)
def get_auto_transcript(video_id):
def get_auto_transcript(video_id: str):
"""
Retrieve and format the transcript from a YouTube video.
@@ -317,7 +207,8 @@ 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)
ytt_api = YouTubeTranscriptApi()
transcript = ytt_api.fetch(video_id)
except trans_api_errors.TranscriptsDisabled as e:
logging.exception(f"Exception while fetching transcript: {e}")
return None
@@ -326,6 +217,7 @@ def get_auto_transcript(video_id):
logging.info("Transcript successfully retrieved and formatted.")
return txt_transcript
# Initialize a global output_stream just for main module logging (not used for per-session streaming).
output_stream = StreamOutput()
logging.info(f"Main initialized at {datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')}. Application starting.")
logging.info(
f"Main initialized at {datetime.now(pytz.timezone('America/New_York')).strftime('%Y-%m-%d %H:%M:%S')}. Application starting."
)

2
app/start.sh Normal file → Executable file
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@@ -1,2 +1,2 @@
#!/bin/bash
exec gunicorn -b 0.0.0.0:1986 -w 4 --thread 2 --log-level debug app:app --timeout 120 --worker-class gthread --access-logfile - --error-logfile - --capture-output
exec uv run gunicorn -b 0.0.0.0:1986 -w 4 --thread 2 --log-level debug app:app --timeout 120 --worker-class gthread --access-logfile - --error-logfile - --capture-output

50
app/website/index.html
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@@ -1,32 +1,30 @@
<!DOCTYPE html>
<html lang="en-us">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Screw You Bardo</title>
<link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
<link rel="icon" type="image/x-icon" href="https://www.foreverpyrite.com/favicon.ico">
<script src="https://unpkg.com/htmx.org@2.0.4" integrity="sha384-HGfztofotfshcF7+8n44JQL2oJmowVChPTg48S+jvZoztPfvwD79OC/LTtG6dMp+" crossorigin="anonymous"></script>
<script defer src="{{ url_for('static', filename='script.js') }}"></script>
</head>
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Screw You Bardo</title>
<link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
<link rel="icon" type="image/x-icon" href="https://www.foreverpyrite.com/favicon.ico">
<script src="https://unpkg.com/htmx.org@2.0.4" integrity="sha384-HGfztofotfshcF7+8n44JQL2oJmowVChPTg48S+jvZoztPfvwD79OC/LTtG6dMp+" crossorigin="anonymous"></script>
<script defer src="{{ url_for('static', filename='script.js') }}"></script>
</head>
<body class="font-sans flex justify-center items-center h-screen bg-[#1F1F1F] text-white">
<main class="flex flex-col w-11/12 h-[90vh] bg-[#2E2E2E] rounded-lg shadow-lg overflow-hidden">
<section id="response-section" class="flex-1 p-5 bg-[#1E1E1E] overflow-y-auto text-base leading-relaxed scroll-smooth">
<pre id="response-area" class="whitespace-pre-wrap">Response will appear here.</pre>
</section>
<section class="py-4 px-5 bg-[#3A3A3A]">
<form id="url-form" hx-post="/process_url" hx-swap="none" class="flex gap-2">
<input id="url_box" type="url" name="url" placeholder="Paste the lecture URL here." required autofocus
class="flex-1 py-2 px-3 bg-[#4A4A4A] text-white text-base rounded-md focus:outline-none placeholder-[#B0B0B0]">
<button type="submit" id="submit" class="py-2 px-5 bg-[#5A5A5A] text-white text-base rounded-md hover:bg-[#7A7A7A] disabled:bg-[#3A3A3A] disabled:cursor-not-allowed">
Submit
</button>
</form>
</section>
</main>
</body>
<body class="font-sans flex justify-center items-center h-screen bg-[#1F1F1F] text-white">
<main class="flex flex-col w-11/12 h-[90vh] bg-[#2E2E2E] rounded-lg shadow-lg overflow-hidden">
<section id="response-section" class="flex-1 p-5 bg-[#1E1E1E] overflow-y-auto text-base leading-relaxed scroll-smooth">
<pre id="response-area" class="whitespace-pre-wrap">Response will appear here.</pre>
</section>
<section class="py-4 px-5 bg-[#3A3A3A]">
<form id="url-form" class="flex gap-2">
<input id="url_box" type="url" name="url" placeholder="Paste the lecture URL here." required autofocus class="flex-1 py-2 px-3 bg-[#4A4A4A] text-white text-base rounded-md focus:outline-none placeholder-[#B0B0B0]">
<button type="submit" id="submit" class="py-2 px-5 bg-[#5A5A5A] text-white text-base rounded-md hover:bg-[#7A7A7A] disabled:bg-[#3A3A3A] disabled:cursor-not-allowed">
Submit
</button>
</form>
</section>
</main>
</body>
</html>

115
app/website/static/script.js
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@@ -1,71 +1,68 @@
document.addEventListener("DOMContentLoaded", () => {
const responseArea = document.getElementById('response-area');
const responseSection = document.getElementById('response-section');
const submitButton = document.getElementById('submit');
const urlBox = document.getElementById('url_box');
const form = document.getElementById('url-form');
// Before sending HTMX request, prepare UI and handle empty input
document.body.addEventListener('htmx:beforeRequest', function(evt) {
if (evt.detail.elt.id === 'url-form') {
const url = urlBox.value.trim();
if (!url) {
evt.detail.shouldCancel = true;
responseArea.innerText = 'Please enter a URL.';
return;
}
urlBox.value = '';
submitButton.disabled = true;
responseArea.innerText = 'Processing...';
// Simple URL validation regex (covers http/https and domains)
const urlPattern = /^(https?:\/\/)[\w.-]+(\.[\w\.-]+)+[/#?]?.*$/i;
form.addEventListener('submit', async (evt) => {
evt.preventDefault();
const url = urlBox.value.trim();
if (!url) {
responseArea.textContent = 'Please enter a URL.';
return;
}
});
document.body.addEventListener('htmx:afterRequest', function(evt) {
if (evt.detail.elt.id === 'url-form') {
const text = evt.detail.xhr.responseText.trim();
if (text === "Processing started. Check /stream_output for updates.") {
streamOutput(responseArea, responseSection, submitButton);
} else {
responseArea.innerText = text;
submitButton.disabled = false;
}
if (!urlPattern.test(url)) {
responseArea.textContent = 'Please enter a valid URL (must start with http:// or https://).';
return;
}
});
function streamOutput(responseArea, responseSection, submitButton) {
// Fetch the streaming output
fetch('/stream_output')
.then(response => {
if (!response.ok) {
throw new Error('Network response was not ok');
}
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
// Prepare UI
urlBox.value = '';
submitButton.disabled = true;
responseArea.textContent = 'Processing...\n';
responseArea.innerHTML = "";
function readStream() {
reader.read().then(({ done, value }) => {
if (done) {
submitButton.disabled = false;
return;
}
const chunk = decoder.decode(value, { stream: true });
responseArea.innerHTML += chunk;
responseSection.scrollTop = responseSection.scrollHeight;
readStream();
}).catch(error => {
console.error('Error reading stream:', error);
responseArea.innerText = 'Error reading stream: ' + error.message;
submitButton.disabled = false;
});
}
readStream();
})
.catch(error => {
console.error('Error fetching stream:', error);
responseArea.innerText = 'Error fetching stream: ' + error.message;
submitButton.disabled = false;
try {
const response = await fetch('/process-url', {
method: 'POST',
headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
body: new URLSearchParams({ url }),
});
}
if (!response.ok) {
throw new Error(`Server returned ${response.status}`);
}
const reader = response.body.getReader();
const decoder = new TextDecoder('utf-8');
responseArea.textContent = ''; // clear before streaming
async function readChunk() {
const { done, value } = await reader.read();
if (done) {
submitButton.disabled = false;
return;
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const chunk = decoder.decode(value, { stream: true });
responseArea.innerHTML += chunk;
responseSection.scrollTop = responseSection.scrollHeight;
await readChunk();
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await readChunk();
} catch (err) {
console.error(err);
responseArea.textContent = `Error: ${err.message}`;
submitButton.disabled = false;
}
});
});

10
docker-compose.yml
View File

@@ -3,17 +3,9 @@ services:
build: .
container_name: screw-bardo
ports:
<<<<<<< HEAD
- "$PORT:1986"
- "1986:1986"
env_file:
- .env
volumes:
- ./app/logs:/app/app/logs/:rw
restart: unless-stopped
=======
- "1986:1986"
volumes:
- ./app/logs:/app/logs
restart: unless-stopped
>>>>>>> b5a2b4e6d1b958dbb3ad702026889172514c1fd6

29
pyproject.toml Normal file
View File

@@ -0,0 +1,29 @@
[project]
name = "screw-bardo"
version = "0.7.0"
description = "A simple, single-threaded web app to automate an assignment."
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
# Import environment from .env
"dotenv>=0.9.9",
# Web server
"flask>=3.1.2",
# Fetch the transcripts of YouTube videos
"youtube-transcript-api>=1.2.3",
# OpenAI API to get AI response
"openai>=2.7.0",
# Easiest way to install it in the venv rip
"gunicorn>=23.0.0",
# just for logging I think? who knows what I was doing lol
"pytz>=2025.2",
]
# I think these are just the default settings for the most part...
[tool.basedpyright]
typeCheckingMode = "recommended"
reportMissingImports = true
reportUnusedImport = true
reportUnusedVariable = true
reportUndefinedVariable = true
reportPrivateUsage = true

BIN
requirements.txt
View File

Binary file not shown.

3
start.sh
View File

@@ -1,3 +0,0 @@
#!/bin/bash
cd app
exec gunicorn -b 0.0.0.0:1986 --log-level debug app:app

572
uv.lock generated Normal file
View File

@@ -0,0 +1,572 @@
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