separate transcriber and process_video logic; add transcription preview form; python 3.12 (tempdir del)

.env.example

@@ -0,0 +1,2 @@
+HF_TOKEN="<your-hf-token>"
+HF_SPACE="marquesafonso/multilang-asr-transcriber"

Dockerfile

@@ -1,5 +1,5 @@
 # Use an official Python runtime as a parent image
-FROM python:3.11.7-slim-bullseye
+FROM python:3.12-slim-bullseye
 
 USER root
 

Pipfile

@@ -1,19 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[packages]
-moviepy = "*"
-python-multipart = "*"
-fastapi = "*"
-uvicorn = "*"
-gradio-client = "*"
-
-[dev-packages]
-pytube = "*"
-tqdm = "*"
-requests = "*"
-
-[requires]
-python_version = "3.11"

Pipfile.lock

@@ -1,887 +0,0 @@
-{
-    "_meta": {
-        "hash": {
-            "sha256": "fb53ff18a7be84d091b6dda0ebe97d80f32e3e01ee333e631cfdc33ca075ded3"
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-        "pipfile-spec": 6,
-        "requires": {
-            "python_version": "3.11"
-        },
-        "sources": [
-            {
-                "name": "pypi",
-                "url": "https://pypi.org/simple",
-                "verify_ssl": true
-            }
-        ]
-    },
-    "default": {
-        "annotated-types": {
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-        "anyio": {
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-            "version": "==4.4.0"
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-        "certifi": {
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-        "charset-normalizer": {
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-}

api_config_example.yml

@@ -1,6 +0,0 @@
-api_config:
-  secrets:
-    username: user
-    password: password
-    hf-token: <your hf-token>
-    hf-space: marquesafonso/multilang-asr-transcriber

docker-compose.yml

@@ -6,4 +6,4 @@ services:
     ports:
       - "8000:8000"
     volumes:
-      - .:/app
+      - .:/app

main.py

@@ -1,27 +1,33 @@
 import shutil, os, logging, uvicorn, tempfile
 from typing import Optional
+from uuid import uuid4
 
+from utils.transcriber import transcriber
 from utils.process_video import process_video
 from utils.zip_response import zip_response
 from utils.read_html import read_html
 
-from fastapi import FastAPI, UploadFile, HTTPException, Form, Depends
+from fastapi import FastAPI, UploadFile, HTTPException, Request, Form, Depends
 from fastapi.staticfiles import StaticFiles
-from fastapi.responses import HTMLResponse, Response
+from fastapi.templating import Jinja2Templates
+from fastapi.responses import HTMLResponse, Response, RedirectResponse
 from fastapi.security import HTTPBasic
 from pydantic import BaseModel, field_validator
 
+
 ## THIS IS A BREAKING CHANGE. SRT FILE INPUT DEPRECATED. WIP.
+## DONE: separate transcriber from subtitler logic. WIP.
+## DONE: improve loading spinner. WIP (with redirect)
+## TODO: add transcription preview component + allow for interactive validation of transcription in-browser. WIP
 ## TODO: add word level highlighting option
-## TODO: separate transcriber from subtitler logic + allow for interactive validation of trancription in-browser
-## TODO: add video preview component
-## TODO: improve loading spinner.
+
 
 app = FastAPI()
 security = HTTPBasic()
-api_configs_file = os.path.abspath("api_config.yml")
 static_dir = os.path.join(os.path.dirname(__file__), 'static')
 app.mount("/static", StaticFiles(directory=static_dir), name="static")
+templates = Jinja2Templates(directory=static_dir) 
+temp_store = {}
 
 class MP4Video(BaseModel):
     video_file: UploadFile
@@ -46,54 +52,74 @@ async def root():
     """
     return HTMLResponse(content=html_content)
 
-
-@app.get("/submit_video/")
+@app.get("/transcribe_video/")
 async def get_form():
     html_content = f"""
-    {read_html(os.path.join(os.getcwd(),"static/submit_video.html"))}
+    {read_html(os.path.join(os.getcwd(),"static/transcribe_video.html"))}
     """
     return HTMLResponse(content=html_content)
 
 async def get_temp_dir():
-    dir = tempfile.TemporaryDirectory()
+    dir = tempfile.TemporaryDirectory(delete=False)
     try:
         yield dir.name
-    finally:
-        del dir
+    except Exception as e:
+        HTTPException(status_code=500, detail=str(e))
+
+@app.post("/transcribe/")
+async def transcribe_api(video_file: MP4Video = Depends(),
+                         task: str = Form("transcribe"),
+                         model_version: str = Form("deepdml/faster-whisper-large-v3-turbo-ct2"),
+                         max_words_per_line: int = Form(6),
+                         temp_dir: str = Depends(get_temp_dir)):
+    try:
+        video_path = os.path.join(temp_dir, video_file.filename)
+        with open(video_path, 'wb') as f:
+            shutil.copyfileobj(video_file.file, f)
+
+        transcription = transcriber(video_path, max_words_per_line, task, model_version)
+
+        uid = str(uuid4())
+        temp_store[uid] = {"video_path": video_path, "transcription": transcription}
+        return RedirectResponse(url=f"/process_settings/?uid={uid}", status_code=303)
+    
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/process_settings/")
+async def process_settings(request: Request, uid: str):
+    data = temp_store.get(uid)
+    if not data:
+        raise HTTPException(404, "Data not found")
+    return templates.TemplateResponse("process_settings.html", {
+        "request": request,
+        "transcription": data["transcription"],
+        "video_path": data["video_path"]
+    })
 
 @app.post("/process_video/")
-async def process_video_api(video_file: MP4Video = Depends(),
-                            task: Optional[str] = Form("transcribe"),
-                            model_version: Optional[str] = Form("deepdml/faster-whisper-large-v3-turbo-ct2"),
-                            max_words_per_line: Optional[int] = Form(6),
+async def process_video_api(video_path: str = Form(...),
+                            srt_string: str = Form(...),
                             fontsize: Optional[int] = Form(42),
-                            font: Optional[str] = Form("FuturaPTHeavy"),
+                            font: Optional[str] = Form("Helvetica"),
                             bg_color: Optional[str] = Form("#070a13b3"),
                             text_color: Optional[str] = Form("white"),
                             caption_mode: Optional[str] = Form("desktop"),
                             temp_dir: str = Depends(get_temp_dir)
                             ):
     try:
-        logging.info("Creating temporary directories")
-        with open(os.path.join(temp_dir, video_file.filename), 'w+b') as temp_file:
-            logging.info("Copying video UploadFile to the temporary directory")
-            try:
-                shutil.copyfileobj(video_file.file, temp_file)
-            finally:
-                video_file.file.close()
-            logging.info("Copying SRT UploadFile to the temp_input_path")
-            with open(os.path.join(temp_dir, f"{video_file.filename.split('.')[0]}.srt"), 'w+') as temp_srt_file:
-                logging.info("Processing the video...")
-                output_path, srt_string = process_video(temp_file.name, task, model_version, max_words_per_line, fontsize, font, bg_color, text_color, caption_mode, api_configs_file)
-                temp_srt_file.write(srt_string)    
+        output_path = process_video(video_path, srt_string, fontsize, font, bg_color, text_color, caption_mode)
+        with open(os.path.join(temp_dir, f"{video_path.split('.')[0]}.srt"), 'w+') as temp_srt_file:
+            logging.info("Processing the video...")
+            temp_srt_file.write(srt_string)    
             logging.info("Zipping response...")
-            with open(os.path.join(temp_dir, f"{video_file.filename.split('.')[0]}.zip"), 'w+b') as temp_zip_file:
-                zip_file = zip_response(temp_zip_file.name, [output_path, temp_srt_file.name])
-                return Response(
-                    content = zip_file,
-                    media_type="application/zip",
-                    headers={"Content-Disposition": f"attachment; filename={video_file.filename.split('.')[0]}.zip"}
-                    )
+        with open(os.path.join(temp_dir, f"{video_path.split('.')[0]}.zip"), 'w+b') as temp_zip_file:
+            zip_file = zip_response(temp_zip_file.name, [output_path, temp_srt_file.name])
+            return Response(
+                content = zip_file,
+                media_type="application/zip",
+                headers={"Content-Disposition": f"attachment; filename={os.path.basename(video_path).split('.')[0]}.zip"}
+                )
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
     

static/landing_page.html

@@ -144,7 +144,7 @@
             <h1>Multilang-ASR-Captioner</h1>
             <p>A multilingual automatic speech recognition and video captioning tool using faster whisper.<br>
             Supports real-time translation to english. Runs on consumer grade cpu.</p>
-            <a href="/submit_video" class="button submit">Submit Video</a>
+            <a href="/transcribe_video" class="button submit">Transcribe Video</a>
             <a href="/docs" class="button docs">Documentation</a>
         </div>
         <!-- Footer -->

static/process_settings.html

@@ -0,0 +1,79 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Process Video</title>
+    <style>
+        body { font-family: Arial; background: #f0f0f0; padding: 2rem; }
+        form { background: white; padding: 2rem; border-radius: 10px; max-width: 700px; margin: auto; }
+        label, select, input, textarea { display: block; width: 100%; margin-bottom: 1rem; }
+        textarea { height: 200px; font-family: monospace; }
+        input[type="submit"] { background: #4CAF50; color: white; padding: 0.8rem; border: none; cursor: pointer; }
+    </style>
+</head>
+<body>
+    <form action="/process_video/" method="post">
+        <h2>Step 2: Edit Transcription & Style</h2>
+
+        <label for="srt_string">Correct Transcription</label>
+        <textarea name="srt_string" id="srt_string">{{ transcription }}</textarea>
+
+        <label for="fontsize">Font size</label>
+        <input type="number" name="fontsize" value="42">
+
+        <label for="font">Font</label>
+        <select id="font" name="font">
+            <option>Loading fonts...</option>
+        </select><br>
+
+        <label for="bg_color">Background color</label>
+        <input type="text" name="bg_color" value="#070a13b3">
+
+        <label for="text_color">Text color</label>
+        <select id="text_color" name="text_color">
+            <option>Loading colors...</option>
+        </select>
+
+        <label for="caption_mode">Caption mode</label>
+        <select name="caption_mode">
+            <option value="desktop">Desktop</option>
+            <option value="mobile">Mobile</option>
+        </select>
+
+        <input type="hidden" name="video_path" value="{{ video_path }}">
+        <input type="submit" value="Render & Download">
+    </form>
+    <script>
+    // Load dropdown options with optional default
+    function populateDropdown(id, url, defaultValue = null) {
+        fetch(url)
+            .then(response => response.text())
+            .then(data => {
+                const select = document.getElementById(id);
+                select.innerHTML = '';
+                const lines = data.split('\n').map(x => x.trim()).filter(Boolean);
+
+                lines.forEach(item => {
+                    const opt = document.createElement('option');
+                    opt.value = item;
+                    opt.textContent = item;
+                    if (item === defaultValue) {
+                        opt.selected = true;
+                    }
+                    select.appendChild(opt);
+                });
+            })
+            .catch(error => {
+                console.error(`Error loading ${url}:`, error);
+            });
+    }
+
+    // Set your default font and color here:
+    const DEFAULT_FONT = "Helvetica";
+    const DEFAULT_COLOR = "white";
+
+    // Populate dropdowns with defaults
+    populateDropdown('font', '/static/fonts.txt', DEFAULT_FONT);
+    populateDropdown('text_color', '/static/colors.txt', DEFAULT_COLOR);
+</script>
+</body>
+</html>

static/submit_video.html

@@ -1,254 +0,0 @@
-<!DOCTYPE html>
-<html>
-    <head>
-        <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/css/all.min.css" integrity="sha512-Fo3rlrZj/k7ujTnHg4CGR2D7kSs0v4LLanw2qksYuRlEzO+tcaEPQogQ0KaoGN26/zrn20ImR1DfuLWnOo7aBA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-        <style>
-            /* CSS Styles */
-            body {
-                font-family: 'Arial', sans-serif;
-                background-color: #f0f0f0;
-                color: #333;
-                line-height: 1.6;
-                margin: 0;
-                padding: 0;
-                display: flex;
-                flex-direction: column;
-                min-height: 100vh;
-            }
-
-            form {
-                max-width: 900px;
-                margin: .9rem auto;
-                padding: 1rem;
-                background: #ffffff;
-                border-radius: 8px;
-                box-shadow: 0 0 15px rgba(0, 0, 0, 0.1);
-                display: flex;
-                flex-direction: column;
-            }
-
-            .form-wrapper {
-                display: flex;
-                flex-wrap: wrap;
-                gap: 20px;
-            }
-
-            .form-group {
-                flex: 1;
-                min-width: calc(50% - 20px);
-                box-sizing: border-box;
-            }
-
-            .form-group h3 {
-                margin-bottom: 15px;
-                color: #4CAF50;
-                font-size: 18px;
-                border-bottom: 2px solid #4CAF50;
-                padding-bottom: 5px;
-            }
-
-            input[type=file],
-            input[type=number],
-            input[type=text],
-            select {
-                width: 100%;
-                padding: 10px;
-                margin-bottom: 10px;
-                border-radius: 4px;
-                border: 1px solid #ddd;
-                box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.1);
-                font-size: 13px;
-                box-sizing: border-box; /* Ensure padding and border are included in the element's total width and height */
-            }
-
-            input[type=submit] {
-                width: 100%;
-                background-color: #4CAF50;
-                color: white;
-                padding: 12px 18px;
-                border: none;
-                border-radius: 5px;
-                cursor: pointer;
-                font-size: 15px;
-                margin-top: 20px;
-                transition: background-color 0.3s ease;
-                box-sizing: border-box;
-            }
-
-            input[type=submit]:hover {
-                background-color: #45a049;
-            }
-
-            label {
-                margin-top: 10px;
-                display: block;
-                font-weight: bold;
-                font-size: 13px;
-            }
-
-            .footer {
-                width: 100%;
-                background-color: #f0f0f0;
-                text-align: center;
-            }
-
-            .footer a {
-                padding: 0.5rem;
-                text-decoration: none;
-            }
-
-            .fa-github:hover {
-                transform: scale(1.2);
-            }
-
-            .fa-github {
-                color: #000000;
-            }
-
-            .fa-linkedin:hover {
-                transform: scale(1.2);
-            }
-
-            .fa-linkedin {
-                color: #0077B5;
-            }
-
-            /* Additional Responsiveness */
-            @media (max-width: 992px) {
-                form {
-                    max-width: 90%;
-                    margin-left: 15%;
-                    margin-right: 15%; 
-                    padding: 15px;
-                }
-
-                .form-wrapper {
-                    flex-direction: column;
-                }
-
-                .form-group {
-                    min-width: 100%;
-                }
-            }
-
-            @media (max-width: 768px) {
-                form {
-                    max-width: 90%;
-                    margin-left: 10%;
-                    margin-right: 10%;
-                    padding: 15px;
-                }
-            }
-
-            @media (max-width: 480px) {
-                form {
-                    max-width: 90%;
-                    margin-left: 5%;
-                    margin-right: 5%;
-                    padding: 10px;
-                }
-            }
-        </style>
-    </head>
-    <body>
-    <form id="video-form" action="/process_video/" method="post" enctype="multipart/form-data">
-        <div class="form-wrapper">
-            <div class="form-group">
-                <h3>Inputs & Task Selection</h3>
-                <label for="video_file">Video File</label>
-                <input type="file" id="video_file" name="video_file"><br>
-
-                <label for="task">Task</label>
-                <select id="task" name="task">
-                    <option value="transcribe">Transcribe</option>
-                    <option value="translate">Translate</option>
-                </select>
-
-                <label for="model_version">Model Version</label>
-                <select id="model_version" name="model_version">
-                    <option value="deepdml/faster-whisper-large-v3-turbo-ct2">faster-whisper-large-v3-turbo</option>
-                    <option value="turbo">turbo</option>
-                    <option value="large-v3">large-v3</option>
-                </select>
-            </div>
-
-            <div class="form-group">
-                <h3>Visual Parameters</h3>
-                <label for="max_words_per_line">Max words per line</label>
-                <input type="number" id="max_words_per_line" name="max_words_per_line" value="6"><br>
-
-                <label for="fontsize">Font size</label>
-                <input type="number" id="fontsize" name="fontsize" value="42"><br>
-
-                <label for="font">Font</label>
-                <select id="font" name="font">
-                    <option>Loading fonts...</option>
-                </select><br>
-
-                <label for="bg_color">Background color</label>
-                <input type="text" id="bg_color" name="bg_color" value="#00FFFF00"><br>
-
-                <label for="text_color">Text color</label>
-                <select id="text_color" name="text_color">
-                    <option>Loading colors...</option>
-                </select><br>
-
-                <label for="caption_mode">Caption mode</label>
-                <select id="caption_mode" name="caption_mode">
-                    <option value="desktop">Desktop</option>
-                    <option value="mobile">Mobile</option>
-                </select>
-            </div>
-        </div>
-
-        <div id="loading" style="display:none; text-align: center; margin-top: 10px; font-weight: bold;">
-            <i class="fas fa-spinner fa-spin"></i> Processing, please wait...
-        </div>
-
-        <input type="submit" value="Submit">
-    </form>
-    <div class="footer">
-        <p>Created by:</p>
-        <a href="https://github.com/marquesafonso" class="github"><i class="fab fa-github fa-3x"></i></a>
-        <a href="https://www.linkedin.com/in/marquesafonso" class="linkedin"><i class="fab fa-linkedin fa-3x"></i></a>
-    </div>
-    <script>
-        // Loading dropdown options
-        function populateDropdown(id, url, defaultValue = null) {
-            fetch(url)
-                .then(response => response.text())
-                .then(data => {
-                    const select = document.getElementById(id);
-                    select.innerHTML = '';
-                    const lines = data.split('\n').map(x => x.trim()).filter(Boolean);
-
-                    lines.forEach(item => {
-                        const opt = document.createElement('option');
-                        opt.value = item;
-                        opt.textContent = item;
-                        if (item === defaultValue) {
-                            opt.selected = true;
-                        }
-                        select.appendChild(opt);
-                    });
-                })
-                .catch(error => {
-                    console.error(`Error loading ${url}:`, error);
-                });
-        }
-        // default font and color:
-        const DEFAULT_FONT = "Helvetica";
-        const DEFAULT_COLOR = "white";
-        // Init dropdowns
-        populateDropdown('font', '/static/fonts.txt', DEFAULT_FONT);
-        populateDropdown('text_color', '/static/colors.txt', DEFAULT_COLOR);
-
-        // Show loading spinner on submit
-        document.getElementById('video-form').addEventListener('submit', function () {
-            document.getElementById('loading').style.display = 'block';
-        });
-    </script>
-    </body>
-</html>
-
-

static/transcribe_video.html

@@ -0,0 +1,49 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/css/all.min.css" integrity="sha512-Fo3rlrZj/k7ujTnHg4CGR2D7kSs0v4LLanw2qksYuRlEzO+tcaEPQogQ0KaoGN26/zrn20ImR1DfuLWnOo7aBA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
+    <title>Transcribe Video</title>
+    <style>
+        body { font-family: Arial; background: #f0f0f0; padding: 2rem; }
+        form { background: white; padding: 2rem; border-radius: 10px; max-width: 600px; margin: auto; }
+        label, select, input { display: block; width: 100%; margin-bottom: 1rem; }
+        input[type="submit"] { background: #4CAF50; color: white; padding: 0.8rem; border: none; cursor: pointer; }
+    </style>
+</head>
+<body>
+    <form id="video-form" action="/transcribe/" method="post" enctype="multipart/form-data">
+        <h2>Step 1: Upload & Transcribe</h2>
+
+        <label for="video_file">Video File</label>
+        <input type="file" name="video_file" id="video_file" required>
+
+        <label for="task">Task</label>
+        <select name="task" id="task">
+            <option value="transcribe">Transcribe</option>
+            <option value="translate">Translate</option>
+        </select>
+
+        <label for="model_version">Model Version</label>
+        <select name="model_version" id="model_version">
+            <option value="deepdml/faster-whisper-large-v3-turbo-ct2">faster-whisper-large-v3-turbo</option>
+            <option value="turbo">turbo</option>
+            <option value="large-v3">large-v3</option>
+        </select>
+
+        <label for="max_words_per_line">Max words per line</label>
+        <input type="number" name="max_words_per_line" id="max_words_per_line" value="6">
+       
+        <div id="loading" style="display:none; text-align: center; margin-top: 10px; margin-bottom: 10px; font-weight: bold;">
+            <i class="fas fa-spinner fa-spin"></i> Processing, please wait...
+        </div>
+       
+        <input type="submit" value="Transcribe">
+    </form>
+    <script>
+        // Show loading spinner on submit
+        document.getElementById('video-form').addEventListener('submit', function () {
+            document.getElementById('loading').style.display = 'block';
+        });
+    </script>
+</body>
+</html>

utils/api_configs.py

@@ -1,6 +0,0 @@
-import yaml
-
-def api_configs(config_file):
-    with open(config_file, 'r') as f:
-        db_config = yaml.safe_load(f)
-    return db_config["api_config"]

utils/process_video.py

@@ -1,22 +1,17 @@
 import logging, os
-from utils.transcriber import transcriber
 from utils.subtitler import subtitler
 
 def process_video(invideo_file: str,
-                  task: str,
-                  model_version: str,
-                  max_words_per_line:int,
+                  srt_string:str,
                   fontsize:str,
                   font:str,
                   bg_color:str,
                   text_color:str,
-                  caption_mode:str,
-                  config_file:str
+                  caption_mode:str
                   ):
     invideo_path_parts = os.path.normpath(invideo_file).split(os.path.sep)
     VIDEO_NAME = os.path.basename(invideo_file)
     OUTVIDEO_PATH = os.path.join(os.path.normpath('/'.join(invideo_path_parts[:-1])), f"result_{VIDEO_NAME}")
-    srt_string = transcriber(invideo_file, max_words_per_line, task, model_version, config_file)
     logging.info("Subtitling...")
     subtitler(invideo_file, srt_string, OUTVIDEO_PATH, fontsize, font, bg_color, text_color, caption_mode)
-    return OUTVIDEO_PATH, srt_string
+    return OUTVIDEO_PATH

utils/transcriber.py

@@ -1,14 +1,15 @@
+import os
 from gradio_client import Client, handle_file
-from utils.api_configs import api_configs
+from dotenv import load_dotenv
 
 def transcriber(invideo_file:str, 
                 max_words_per_line:int,
                 task:str,
-                model_version:str,
-                config_file:str
+                model_version:str
                 ):
-        HF_TOKEN = api_configs(config_file)["secrets"]["hf-token"]
-        HF_SPACE = api_configs(config_file)["secrets"]["hf-space"]
+        load_dotenv()
+        HF_TOKEN = os.getenv("HF_TOKEN")
+        HF_SPACE = os.getenv("HF_SPACE")
         client = Client(HF_SPACE, hf_token=HF_TOKEN)
         result = client.predict(
                 file_input=handle_file(invideo_file),