├── .env.sample ├── .gitignore ├── README.md ├── poetry.lock ├── pyproject.toml ├── src ├── config.py ├── downloader.py ├── main.py ├── summarizer.py ├── transcriber.py └── wavconverter.py └── tests └── test_integration_main.py /.env.sample: -------------------------------------------------------------------------------- 1 | LLAMA_CPP_DIR_PATH=/some/path/bin/llama.cpp 2 | WHISPER_CPP_DIR_PATH=/some/path/bin/whisper.cpp 3 | FILES_DL_DIR_PATH=/some/path/Downloads 4 | LLAMA_MODEL_PATH=/some/path/bin/llama.cpp/models/nous-hermes-llama2-13b.Q4_K_M.gguf 5 | WHISPER_MODEL_PATH=/some/path/bin/whisper.cpp/models/ggml-large.bin 6 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | bin 2 | .pytest_cache 3 | __pycache__ 4 | temp 5 | .env 6 | .DS_Store 7 | Downloads -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # TL;DWOL - Too Long; Didn't Watch or Listen 🎧💡 2 | 3 | Web API that summarizes multimedia from various sources using modern AI tools. 4 | 5 | ```mermaid 6 | flowchart LR 7 | API[HTTP API] 8 | Whisper[whisper.cpp] 9 | Llama[llama.cpp] 10 | Output 11 | 12 | URL --> API 13 | API -->|Audio File| Whisper 14 | Whisper -->|Transcript| Llama 15 | Llama --> |Summary| Output 16 | ``` 17 | 18 | ## Supported inputs 19 | 20 | - YouTube 21 | - Apple Podcasts 22 | - Direct file URLs 23 | 24 | ## Prerequisites 25 | 26 | - Python 3.11 27 | - [Poetry](https://python-poetry.org/) 28 | - [FFmpeg](https://ffmpeg.org/) 29 | - [whisper.cpp](https://github.com/ggerganov/whisper.cpp) 30 | - [llama.cpp](https://github.com/ggerganov/llama.cpp) 31 | - [llama.cpp compatible model](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b) 32 | 33 | ## Quick Start 🚀 34 | 35 | 1. **Clone the Repository**: 36 | 37 | ```bash 38 | git clone https://github.com/oscargullberg/tldwol/blob/main/README.md 39 | cd tldwol 40 | ``` 41 | 42 | 2. **Install Dependencies**: 43 | 44 | ```bash 45 | poetry install 46 | ``` 47 | 48 | ## Configuration ⚙ 49 | 50 | Create a `.env` file in the project root and add your environment variables: 51 | 52 | ```env 53 | LLAMA_CPP_DIR_PATH=path/to/llama.cpp 54 | WHISPER_CPP_DIR_PATH=path/to/whisper.cpp 55 | FILES_DL_DIR_PATH=path/to/download/directory 56 | LLAMA_MODEL_PATH=path/to/model 57 | WHISPER_MODEL_PATH=/some/path/bin/whisper.cpp/models/ggml-large.bin 58 | ``` 59 | 60 | ## Usage 🎮 61 | 62 | 1. **Start the Server**: 63 | 64 | ```bash 65 | poetry run start 66 | ``` 67 | 68 | 2. **Request a Summary**: 69 | 70 | ```bash 71 | curl "http://127.0.0.1:8000/?url=https://youtube.com/watch?v=thOifuHs6eY" 72 | ``` 73 | 74 | ```json 75 | { 76 | "summary": "The provided content highlights the significance of hexagons in nature and human-made objects. 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python = "^3.11" 12 | fastapi = "^0.103.1" 13 | uvicorn = "^0.23.2" 14 | yt-dlp = "^2023.7.6" 15 | aiohttp = "^3.8.5" 16 | pydantic-settings = "^2.0.3" 17 | 18 | [tool.poetry.group.dev.dependencies] 19 | pytest = "^7.4.2" 20 | httpx = "^0.25.0" 21 | 22 | [build-system] 23 | requires = ["poetry-core"] 24 | build-backend = "poetry.core.masonry.api" 25 | 26 | [tool.poetry.scripts] 27 | start = "src.main:start" 28 | -------------------------------------------------------------------------------- /src/config.py: -------------------------------------------------------------------------------- 1 | from pydantic_settings import BaseSettings, SettingsConfigDict 2 | 3 | 4 | class AppSettings(BaseSettings): 5 | llama_cpp_dir_path: str 6 | whisper_cpp_dir_path: str 7 | files_dl_dir_path: str = "downloads" 8 | llama_model_path: str 9 | whisper_model_path: str 10 | 11 | model_config = SettingsConfigDict(env_file=".env") 12 | 13 | 14 | _settings_instance = None 15 | 16 | 17 | def get_config() -> AppSettings: 18 | global _settings_instance 19 | if _settings_instance is None: 20 | _settings_instance = AppSettings() 21 | return _settings_instance 22 | -------------------------------------------------------------------------------- /src/downloader.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from yt_dlp import YoutubeDL 3 | import aiohttp 4 | import hashlib 5 | import re 6 | import yarl 7 | from pathlib import Path 8 | from .config import get_config 9 | 10 | config = get_config() 11 | DOWNLOAD_DIR = config.files_dl_dir_path 12 | 13 | 14 | class DownloadStrategy: 15 | def __init__(self, test, handler): 16 | self.test = test 17 | self.handler = handler 18 | 19 | def is_match(self, url): 20 | return self.test(url) 21 | 22 | 23 | def _md5_encode(str): 24 | return hashlib.md5(str.encode()).hexdigest() 25 | 26 | 27 | async def _download_file(url, file_path=None): 28 | file_path = file_path or Path(DOWNLOAD_DIR) / _md5_encode(url) 29 | async with aiohttp.ClientSession( 30 | headers={ 31 | "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36", 32 | }, 33 | requote_redirect_url=False, 34 | ) as session: 35 | print(f"Starting download file from {url}") 36 | async with session.get(url) as response: 37 | if response.status >= 400: 38 | body = await response.text() 39 | raise ValueError( 40 | f"File download failed with status {response.status} and body '{body}'" 41 | ) 42 | 43 | with open(file_path, "wb+") as f: 44 | while True: 45 | chunk = await response.content.readany() 46 | if not chunk: 47 | break 48 | f.write(chunk) 49 | print(f"Downloaded {file_path} from {url}") 50 | return file_path 51 | 52 | 53 | async def _download_youtube_audio(url): 54 | loop = asyncio.get_running_loop() 55 | 56 | def sync_download(): 57 | ydl_opts = {"format": "bestaudio", "outtmpl": f"{DOWNLOAD_DIR}/%(id)s.%(ext)s"} 58 | with YoutubeDL(ydl_opts) as ydl: 59 | print("downloading from yt") 60 | info = ydl.extract_info(url, download=False) 61 | ydl.download([url]) 62 | return Path(DOWNLOAD_DIR) / f'{info["id"]}.{info["ext"]}' 63 | 64 | return await loop.run_in_executor(None, sync_download) 65 | 66 | 67 | async def _download_apple_podcast(url): 68 | async with aiohttp.ClientSession() as session: 69 | async with session.get(yarl.URL(url, encoded=True)) as response: 70 | html = await response.text() 71 | pattern = r'assetUrl[^"]+":[^:]+"([^\\]+)' 72 | match = re.search(pattern, html) 73 | if match: 74 | episode_download_url = match.group(1) 75 | return await _download_file(episode_download_url) 76 | raise ValueError("Apple podcast body parsing failed") 77 | 78 | 79 | DOWNLOAD_STRATEGIES = [ 80 | DownloadStrategy( 81 | test=lambda url: re.match(r"(https?://)?(www.)?youtube.com/watch\?v=", url), 82 | handler=_download_youtube_audio, 83 | ), 84 | DownloadStrategy( 85 | test=lambda url: re.match( 86 | r"(https?://)?podcasts\.apple\.com/\w+/podcast/[\w-]+/id\d+\?i=\d+", url 87 | ), 88 | handler=_download_apple_podcast, 89 | ), 90 | DownloadStrategy( 91 | test=lambda url: re.match(r"https?://.+", url), handler=_download_file 92 | ), 93 | ] 94 | 95 | 96 | def download_file_from_url(url): 97 | for strategy in DOWNLOAD_STRATEGIES: 98 | if strategy.is_match(url): 99 | return strategy.handler(url) 100 | raise ValueError(f"No matching strategy for URL: '{url}'.") 101 | -------------------------------------------------------------------------------- /src/main.py: -------------------------------------------------------------------------------- 1 | from fastapi import FastAPI 2 | import time 3 | import importlib 4 | 5 | from .downloader import download_file_from_url 6 | from .wavconverter import convert_to_wav 7 | from .transcriber import transcribe 8 | from .summarizer import summarize 9 | 10 | 11 | app = FastAPI() 12 | 13 | 14 | @app.get("/") 15 | async def index(url: str): 16 | time_start = time.time() 17 | 18 | dl_file_path = await download_file_from_url(url) 19 | wav_file_path = await convert_to_wav(dl_file_path) 20 | transcript_lines = await transcribe(wav_file_path) 21 | summary = await summarize(transcript_lines) 22 | 23 | time_delta = time.time() - time_start 24 | print(f"execution time, s: {time_delta}") 25 | return {"summary": summary} 26 | 27 | 28 | def start(): 29 | uvicorn = importlib.import_module("uvicorn") 30 | uvicorn.run("src.main:app", reload=True) 31 | -------------------------------------------------------------------------------- /src/summarizer.py: -------------------------------------------------------------------------------- 1 | from os import linesep, path 2 | import asyncio 3 | 4 | from .config import get_config 5 | 6 | 7 | config = get_config() 8 | LLAMA_CPP_DIR = config.llama_cpp_dir_path 9 | LLAMA_MODEL_PATH = config.llama_model_path 10 | 11 | 12 | def _chunk_list(lst, chunk_size, min_chunk_size): 13 | chunks, temp_chunk = [], [] 14 | 15 | for i, item in enumerate(lst): 16 | temp_chunk.append(item) 17 | if len(temp_chunk) == chunk_size or i == len(lst) - 1: 18 | if len(temp_chunk) < min_chunk_size and chunks: 19 | chunks[-1].extend(temp_chunk) 20 | else: 21 | chunks.append(temp_chunk) 22 | temp_chunk = [] 23 | 24 | return chunks 25 | 26 | 27 | async def _run_llama(prompt: str): 28 | stderr_lines = [] 29 | stdout_lines = [] 30 | response_index_start = -1 31 | end_of_prompt_line_start = "### Response:" 32 | 33 | llama_process = await asyncio.create_subprocess_exec( 34 | path.join(LLAMA_CPP_DIR, "main"), 35 | "--temp", 36 | "0.25", 37 | "-c", 38 | "4096", 39 | "-n", 40 | "4096", 41 | "--top-k", 42 | "25", 43 | "--repeat_penalty", 44 | "1.20", 45 | "-m", 46 | LLAMA_MODEL_PATH, 47 | "--prompt", 48 | prompt, 49 | stdout=asyncio.subprocess.PIPE, 50 | stderr=asyncio.subprocess.PIPE, 51 | cwd=LLAMA_CPP_DIR, 52 | ) 53 | 54 | async for line in llama_process.stdout: 55 | processed_line = line.decode().strip() 56 | if end_of_prompt_line_start in processed_line: 57 | response_index_start = len(stdout_lines) + 1 58 | stdout_lines.append(processed_line) 59 | print(processed_line) 60 | 61 | async for line in llama_process.stderr: 62 | decoded = line.decode().strip() 63 | stderr_lines.append(decoded) 64 | if "error" in decoded: 65 | print(f"[llama.cpp] err: {decoded}") 66 | 67 | exit_code = await llama_process.wait() 68 | 69 | print(f"[llama.cpp] exitcode: {exit_code}") 70 | if exit_code != 0: 71 | print(stderr_lines) 72 | raise ValueError(f"llama failed with exit code {exit_code}") 73 | 74 | return stdout_lines[response_index_start:] 75 | 76 | 77 | async def _summarize_transcript_chunk(chunk): 78 | instruction = f"Summarize the content in a bullet list. Make sure to include the essential subjects, events and historical years. Write it from the viewpoint of an objective observer" 79 | prompt = f"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n ### Instruction:\n{instruction}\n\n### Input:\n{chunk}\n\n ### Response:\n\n" 80 | summary_lines = await _run_llama(prompt) 81 | return linesep.join(summary_lines) 82 | 83 | 84 | async def _summarize_summaries(joined_summaries): 85 | instruction = f"Revise the content to create a objective summary divided into paragraphs that retains all information. Write it in the style of an academic review without refering to it as such." 86 | prompt = f"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. \n ### Instruction:\n{instruction}\n\n### Input:\n'{joined_summaries}\n\n### Response:\n\n" 87 | summary_lines = await _run_llama(prompt) 88 | return linesep.join(summary_lines) 89 | 90 | 91 | async def summarize(text_lines): 92 | print("line count: ", len(text_lines)) 93 | 94 | print("chunking text lines") 95 | ## Hack, rough guess to not hit context limit :)) 96 | transcript_chunks = _chunk_list(text_lines, 60, 20) 97 | print(f"chunked text lines into {len(transcript_chunks)} chunks") 98 | 99 | chunk_summaries = [] 100 | for chunk in transcript_chunks: 101 | summary = await _summarize_transcript_chunk(linesep.join(chunk)) 102 | chunk_summaries.append(summary) 103 | 104 | print("generating summary of summaries") 105 | summary_of_summaries = await _summarize_summaries( 106 | f"{linesep}".join(chunk_summaries) 107 | ) 108 | print("generated summary of summaries") 109 | return summary_of_summaries.lstrip() 110 | -------------------------------------------------------------------------------- /src/transcriber.py: -------------------------------------------------------------------------------- 1 | from os import path, linesep 2 | import asyncio 3 | 4 | from .config import get_config 5 | 6 | config = get_config() 7 | WHISPER_CPP_DIR = config.whisper_cpp_dir_path 8 | WHISPER_MODEL_PATH = config.whisper_model_path 9 | 10 | 11 | async def _run_whisper(input_file_path): 12 | whisper_binary_path = path.join(WHISPER_CPP_DIR, "main") 13 | 14 | stderr_lines = [] 15 | stdout_lines = [] 16 | whisper_process = await asyncio.create_subprocess_exec( 17 | whisper_binary_path, 18 | "-m", 19 | WHISPER_MODEL_PATH, 20 | "-f", 21 | input_file_path, 22 | "-l", 23 | "auto", 24 | "-t", 25 | "10", 26 | stdout=asyncio.subprocess.PIPE, 27 | stderr=asyncio.subprocess.PIPE, 28 | cwd=WHISPER_CPP_DIR, 29 | ) 30 | async for line in whisper_process.stdout: 31 | print(f"[whisper] stdout: {line.decode().strip()}") 32 | stdout_lines.append(line.decode().strip()) 33 | 34 | async for line in whisper_process.stderr: 35 | stderr_lines.append(line.decode().strip()) 36 | 37 | exit_code = await whisper_process.wait() 38 | 39 | print(f"[whisper] exitcode: {exit_code}") 40 | if exit_code != 0: 41 | print(stderr_lines) 42 | raise ValueError(f"whisper failed with code '{exit_code}'.") 43 | 44 | return stdout_lines 45 | 46 | 47 | async def transcribe(file_path): 48 | cache_path = f"{file_path}-transcript.txt" 49 | if path.exists(cache_path): 50 | print("loading transcript from cache") 51 | with open(cache_path, "r") as f: 52 | return f.readlines() 53 | 54 | else: 55 | print("generating transcript") 56 | transcript_lines = await _run_whisper(file_path) 57 | with open(cache_path, "w+") as f: 58 | f.writelines(f"{line}{linesep}" for line in transcript_lines) 59 | print("generated and cached transcript") 60 | return transcript_lines 61 | -------------------------------------------------------------------------------- /src/wavconverter.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | 3 | 4 | async def _run_ffmpeg(input_file_path, output_file_path): 5 | binary_path = "ffmpeg" 6 | stderr_lines = [] 7 | ffmpeg_process = await asyncio.create_subprocess_exec( 8 | binary_path, 9 | "-i", 10 | f"{input_file_path}", 11 | "-ar", 12 | "16000", 13 | "-ac", 14 | "1", 15 | "-c:a", 16 | "pcm_s16le", 17 | "-y", 18 | "-hide_banner", 19 | "-loglevel", 20 | "error", 21 | f"{output_file_path}", 22 | stdout=asyncio.subprocess.PIPE, 23 | stderr=asyncio.subprocess.PIPE, 24 | ) 25 | async for line in ffmpeg_process.stdout: 26 | print(f"[ffmpeg] stdout: {line.decode().strip()}") 27 | 28 | async for line in ffmpeg_process.stderr: 29 | print(f"[ffmpeg] stderr: {line.decode().strip()}") 30 | stderr_lines.append(line.decode().strip()) 31 | 32 | exit_code = await ffmpeg_process.wait() 33 | if exit_code != 0: 34 | print(stderr_lines) 35 | raise ValueError("ffmpeg failed with exitcode '{exit_code}'") 36 | 37 | 38 | async def convert_to_wav(input_file_path, output_file_path=None): 39 | output_file_path = output_file_path or f"{input_file_path}.wav" 40 | await _run_ffmpeg(input_file_path, output_file_path) 41 | return output_file_path 42 | -------------------------------------------------------------------------------- /tests/test_integration_main.py: -------------------------------------------------------------------------------- 1 | import importlib 2 | from fastapi.testclient import TestClient 3 | 4 | main = importlib.import_module("src.main", package="src") 5 | client = TestClient(main.app) 6 | 7 | 8 | def test_missing_url_returns_422(): 9 | response = client.get("/") 10 | assert response.status_code == 422 11 | 12 | 13 | def test_youtube_url_returns_summary_with_expected_words(): 14 | response = client.get("/?url=https://www.youtube.com/watch?v=h7gf5M04hdg") 15 | assert response.status_code == 200 16 | json = response.json() 17 | lowered_summary = json["summary"].lower() 18 | assert "temple" in lowered_summary 19 | assert "terry" in lowered_summary 20 | 21 | 22 | def test_apple_podcast_url_returns_summary_with_expected_words(): 23 | response = client.get( 24 | "/?url=https://podcasts.apple.com/us/podcast/nikola-tesla/id899632430?i=1000553619668" 25 | ) 26 | assert response.status_code == 200 27 | json = response.json() 28 | lowered_summary = json["summary"].lower() 29 | assert "tesla" in lowered_summary 30 | 31 | 32 | def test_direct_download_returns_summary_with_expected_words(): 33 | response = client.get( 34 | "/?url=https://dl.dropboxusercontent.com/s/pw27877dknh82tk/Audio%20-%20Martin%20Luther%20King%20-%20I%20Have%20A%20Dream.mp3?dl=1" 35 | ) 36 | assert response.status_code == 200 37 | json = response.json() 38 | lowered_summary = json["summary"].lower() 39 | assert "martin luther king" in lowered_summary 40 | assert "dream" in lowered_summary 41 | --------------------------------------------------------------------------------