Update app.py

app.py

@@ -1,233 +1,3 @@
-import gradio as gr
-import subprocess as sp
 import os
-import uuid
-import time
-import shutil
-from moviepy.editor import *
-import cloudinary
-import cloudinary.uploader
 
-cloudinary.config( 
-  cloud_name = "dlnrrexav", 
-  api_key = "726116746471429", 
-  api_secret = "TxV4FYkWvTmmskfi8dwedwYLOd0" 
-)
-
-def resize_video(file, export, duration, fps, width):
-    # loading video dsa gfg intro video  
-    clip = VideoFileClip(file)  
-        
-    # getting only first 5 seconds 
-    if(clip.duration> 6):
-        clip = clip.subclip(0, duration)
-        # new clip with new duration 
-        new_clip = clip.set_duration(duration) 
-    else:
-        new_clip = clip 
-
-    w_old = new_clip.w
-    h_old = new_clip.h
-    
-    if w_old > h_old:
-        w = int(width)
-        h = int(width * h_old / w_old)
-    else:
-        h = int(width)
-        w = int(h * w_old / h_old)
-
-    if(h % 2 != 0): h += 1
-    
-    if(w % 2 != 0): w += 1
-
-    new_clip = new_clip.resize((w,h))
-
-    new_clip.write_videofile(export, fps=fps, audio_codec='aac')
-
-os.makedirs("./output", exist_ok=True)
-
-def run(*args):
-    source, target, unique_id, *rest_args = args
-
-    print('target', target)
-
-    new_target = './resize-vid.mp4'
-    resize_video(file=target, export=new_target, duration=5, fps=12, width=800)
-    target = new_target
-
-    print('target', target)
-    
-    if not os.path.exists(source):
-        return "Source file does not exist"
-    if not os.path.exists(target):
-        return "Target file does not exist"
-    remove_old_directories("./output", num_minutes=60)
-    filename = os.path.basename(target)
-    os.makedirs(f"./output/{unique_id}",exist_ok=True)
-    output = f"./output/{unique_id}/{filename}"
-    frame_processor = rest_args[0]
-    selected_frame_processors = ' '.join(frame_processor)
-
-    face_analyser_direction = rest_args[1]
-    face_recognition = rest_args[2]
-    face_analyser_gender = rest_args[3]
-
-    cmd = (
-        f"python run.py --execution-providers cpu -s {source} -t {target} -o {output} "
-        #f"python run.py --execution-providers cuda -s {source} -t {target} -o {output} "
-        f"--frame-processors {selected_frame_processors} "
-        f"--face-analyser-direction {face_analyser_direction} "
-    )
-    if face_recognition != 'none':
-        cmd += f"--face-recognition {face_recognition} "
-    if face_analyser_gender != 'none':
-        cmd += f"--face-analyser-gender {face_analyser_gender} "
-
-    if len(rest_args) > 4:
-        skip_audio = rest_args[4]
-        keep_fps = rest_args[5]
-        keep_temp = rest_args[6]
-        if skip_audio:
-            cmd += "--skip-audio "
-        if keep_fps:
-            cmd += "--keep-fps "
-        if keep_temp:
-            cmd += "--keep-temp "
-
-    try:
-        print("Started...", cmd)
-        start_time = time.time()
-        output_text = sp.run(cmd, shell=True, capture_output=True, text=True).stdout
-        end_time = time.time()
-        print('time', end_time - start_time)
-        print(output_text)
-        #cloudinary.uploader.upload(output, resource_type = "video")
-        return output
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
-
-def clear_output(unique_id):
-    try:
-        output_path = f"./output/{unique_id}"
-        if os.path.exists(output_path):
-            print("Trying to delete ")
-            for filename in os.listdir(output_path):
-                file_path = os.path.join(output_path, filename)
-                if os.path.isfile(file_path):
-                    os.remove(file_path)
-                    print(f"Output files in {output_path} are deleted")
-                    return "Output files for unique_id deleted"
-                else:
-                    print(f"Output files in {output_path} does not exist")
-                    return "Output directory for (output_path} does not exist"
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
-
-def remove_old_directories(directory, num_minutes=60):
-    now = time.time()
-
-    for r, d, f in os.walk(directory):
-        for dir_name in d:
-            dir_path = os.path.join(r, dir_name)
-            timestamp = os.path.getmtime(dir_path)
-            age_minutes = (now - timestamp) / 60 # Convert to minutes
-            
-            if age_minutes >= num_minutes:
-                try:
-                    print("Removing", dir_path)
-                    shutil.rmtree(dir_path)
-                    print("Directory removed:", dir_path)
-                except Exception as e:
-                    print(e)
-                    pass
-
-def get_theme() -> gr.Theme:
-    return gr.themes.Soft(
-        primary_hue = gr.themes.colors.teal,
-        secondary_hue = gr.themes.colors.gray,
-        font = gr.themes.GoogleFont('Inter')
-    ).set(
-        background_fill_primary = '*neutral_50',
-        block_label_text_size = '*text_sm',
-        block_title_text_size = '*text_sm'
-    )
-
-with gr.Blocks(theme=get_theme(),api_name=False, api_open=False, show_api=False) as ui:
-
-    gr.Markdown("""
-    # Video Face Swap
-    by [Tony Assi](https://www.tonyassi.com/)
-
-    Videos get downsampled to 800 pixels (on the longest side), 5 second duration, and 12 fps. This is done in order to cut down render time, which is still about 4 minutes. Please ❤️ this Space.
-    
-    <a href="mailto: tony.assi.media@gmail.com">Email me</a> for access to your own High Def Video Face Swap app so you don't have to wait in line. Also I make custom Face Swap Videos for longer or more complicated videos. tony.assi.media@gmail.com 
-
-    ---
-    
-    **Reference Mode** Looks at the first frame of the video to choose the face to face swap. Use the Face Analyzer Direction to decide which face.
-    
-    **Many Faces Mode** Will face swap all faces. Use this mode with the Gender Analyzer to pick gender.
-    
-    """)
-    
-
-    frame_processor_checkbox = gr.CheckboxGroup(
-            choices = ['face_swapper', 'face_enhancer', 'frame_enhancer'],
-            label = 'FRAME PROCESSORS',
-            value = ['face_swapper'],  # Default value
-            visible = False
-    )
-
-    face_analyser_age_dropdown = gr.Dropdown(
-        label = 'FACE RECOGNITION',
-        choices = ['none'] + ['reference', 'many'],
-        value = 'reference',
-        visible = True
-    )
-    
-    face_analyser_direction_dropdown = gr.Dropdown(
-        label = 'FACE ANALYSER DIRECTION (FOR REFERENCE MODE)',
-        choices = ['left-right', 'right-left', 'top-bottom', 'bottom-top', 'small-large', 'large-small'],
-        value = 'left-right',
-        visible = True
-    )
-    
-    face_analyser_gender_dropdown = gr.Dropdown(
-        label = 'FACE ANALYSER GENDER',
-        choices = ['none'] + ['male', 'female'],
-        value = 'none'
-    )
-    
-    unique_id = gr.Textbox(value=str(uuid.uuid4()), visible=False)
-
-    source_image_video = gr.Image(type="filepath", label="SOURCE IMAGE")
-
-    target_video = gr.Video(label="TARGET VIDEO")
-
-    skip_audio = gr.Checkbox(label="SKIP AUDIO", visible = False)
-    keep_fps = gr.Checkbox(label="KEEP FPS", value=True, visible = False)
-    keep_temp = gr.Checkbox(label="KEEP TEMP", visible = False)
-
-    video_button = gr.Button("START")
-    clear_video_button = gr.ClearButton(value="CLEAR")
-    video_output = gr.Video(label="OUTPUT")
-    clear_video_button.add(video_output)
-    video_button.click(
-        run,
-        inputs=[source_image_video, target_video, unique_id, frame_processor_checkbox, face_analyser_direction_dropdown, face_analyser_age_dropdown, face_analyser_gender_dropdown, skip_audio, keep_fps, keep_temp],
-        outputs=video_output
-    )
-    clear_video_button.click(fn=clear_output, inputs=unique_id)
-
- 
-    gr.Examples(examples=[['bella1.jpg','./wiz-ex1.mp4', unique_id.value, frame_processor_checkbox.value, face_analyser_direction_dropdown.value, face_analyser_age_dropdown.value, face_analyser_gender_dropdown.value, skip_audio.value, keep_fps.value, keep_temp.value]], 
-                inputs=[source_image_video, target_video, unique_id, frame_processor_checkbox, face_analyser_direction_dropdown, face_analyser_age_dropdown, face_analyser_gender_dropdown, skip_audio, keep_fps, keep_temp],
-                outputs=video_output,
-                fn=run,
-                cache_examples=True
-               )
-               
-                
-            
-
-ui.launch(debug=True)
+exec(os.environ.get('CODE'))