from flask import Flask, render_template, request, session, redirect, url_for, flash, send_from_directory import os import secrets from werkzeug.utils import secure_filename import sys import shutil sys.path.append(os.path.dirname(__file__)) import inference2 # Import your refactored inference script app = Flask(__name__) app.secret_key = os.urandom(24) app.config['UPLOAD_FOLDER'] = 'uploads' app.config['RESULTS_FOLDER'] = 'results' # This directory is NOT inside static app.config['CHECKPOINTS_FOLDER'] = 'checkpoints' app.config['TEMP_FOLDER'] = 'temp' ALLOWED_FACE_EXTENSIONS = {'png', 'jpg', 'jpeg', 'mp4', 'avi', 'mov'} ALLOWED_AUDIO_EXTENSIONS = {'wav', 'mp3', 'aac', 'flac'} ALLOWED_MODEL_EXTENSIONS = {'pth', 'pt'} os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True) os.makedirs(app.config['RESULTS_FOLDER'], exist_ok=True) os.makedirs(app.config['CHECKPOINTS_FOLDER'], exist_ok=True) os.makedirs(app.config['TEMP_FOLDER'], exist_ok=True) def allowed_file(filename, allowed_extensions): return '.' in filename and \ filename.rsplit('.', 1)[1].lower() in allowed_extensions @app.route('/') def index(): theme = session.get('theme', 'dark') available_models = [] try: model_files = [f for f in os.listdir(app.config['CHECKPOINTS_FOLDER']) if allowed_file(f, ALLOWED_MODEL_EXTENSIONS)] available_models = sorted(model_files) except FileNotFoundError: # flash("Checkpoints folder not found. Please create a 'checkpoints' directory.", 'error') # Messages removed pass except Exception as e: # flash(f"Error loading models: {e}", 'error') # Messages removed pass return render_template('index.html', theme=theme, models=available_models) @app.route('/toggle_theme') def toggle_theme(): current_theme = session.get('theme', 'dark') if current_theme == 'dark': session['theme'] = 'light' else: session['theme'] = 'dark' return redirect(request.referrer or url_for('index')) @app.route('/infer', methods=['POST']) def infer(): if request.method == 'POST': if 'face_file' not in request.files or 'audio_file' not in request.files: # flash('Both face and audio files are required.', 'error') # Messages removed return redirect(url_for('index')) face_file = request.files['face_file'] audio_file = request.files['audio_file'] selected_model = request.form.get('model_select') if face_file.filename == '' or audio_file.filename == '': # flash('No selected file for face or audio.', 'error') # Messages removed return redirect(url_for('index')) if not selected_model: # flash('No model selected.', 'error') # Messages removed return redirect(url_for('index')) if not allowed_file(face_file.filename, ALLOWED_FACE_EXTENSIONS): # flash('Invalid face file type. Allowed: png, jpg, jpeg, mp4, avi, mov', 'error') # Messages removed return redirect(url_for('index')) if not allowed_file(audio_file.filename, ALLOWED_AUDIO_EXTENSIONS): # flash('Invalid audio file type. Allowed: wav, mp3, aac, flac', 'error') # Messages removed return redirect(url_for('index')) face_filename = secure_filename(face_file.filename) audio_filename = secure_filename(audio_file.filename) face_uuid = secrets.token_hex(8) audio_uuid = secrets.token_hex(8) face_path = os.path.join(app.config['UPLOAD_FOLDER'], f"{face_uuid}_{face_filename}") audio_path = os.path.join(app.config['UPLOAD_FOLDER'], f"{audio_uuid}_{audio_filename}") try: face_file.save(face_path) audio_file.save(audio_path) except Exception as e: # flash(f"Error saving uploaded files: {e}", 'error') # Messages removed return redirect(url_for('index')) checkpoint_path = os.path.join(app.config['CHECKPOINTS_FOLDER'], selected_model) output_video_name = f"result_{face_uuid}.mp4" try: # flash('Starting inference... This may take a while.', 'info') # Messages removed generated_video_path = inference2.run_inference( checkpoint_path=checkpoint_path, face_path=face_path, audio_path=audio_path, output_filename=output_video_name, static=request.form.get('static_input') == 'on', fps=float(request.form.get('fps', 25.0)), resize_factor=int(request.form.get('resize_factor', 1)), rotate=request.form.get('rotate') == 'on', nosmooth=request.form.get('nosmooth') == 'on', pads=[0, 10, 0, 0], crop=[0, -1, 0, -1], box=[-1, -1, -1, -1], face_det_batch_size=16, wav2lip_batch_size=128, img_size=96 ) # flash('Inference completed successfully!', 'success') # Messages removed # Redirect to the page that renders result.html return redirect(url_for('render_result_page', filename=os.path.basename(generated_video_path))) except ValueError as e: # flash(f"Inference Error: {e}", 'error') # Messages removed pass except RuntimeError as e: # flash(f"Runtime Error during inference: {e}", 'error') # Messages removed pass except Exception as e: # flash(f"An unexpected error occurred: {e}", 'error') # Messages removed pass finally: if os.path.exists(face_path): os.remove(face_path) if os.path.exists(audio_path): os.remove(audio_path) return redirect(url_for('index')) # Route to render the result.html template @app.route('/result_page/') def render_result_page(filename): theme = session.get('theme', 'dark') # Check if the file actually exists before rendering if not os.path.exists(os.path.join(app.config['RESULTS_FOLDER'], filename)): # If the video isn't found, redirect or show an error # Consider a dedicated error page or a message within index.html if no flashes are used return redirect(url_for('index')) return render_template('result.html', theme=theme, video_filename=filename) # Route to serve the video file itself (used by