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import os |
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from PIL import Image |
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import gradio as gr |
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from gradio_client import Client, handle_file |
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HF_TOKEN = os.getenv("HF_TOKEN") |
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client = Client( |
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"franciszzj/Leffa", |
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hf_token=HF_TOKEN, |
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) |
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def rename_to_image(input_path, output_dir="Uploads"): |
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os.makedirs(output_dir, exist_ok=True) |
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random_id = os.urandom(4).hex() |
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output_filename = f"Image_{random_id}.png" |
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output_path = os.path.join(output_dir, output_filename) |
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try: |
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with Image.open(input_path) as img: |
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img.convert('RGB').save(output_path, 'PNG', quality=100) |
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return output_path |
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except Exception as e: |
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raise ValueError(f"Error renaming: {str(e)}") |
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def virtual_tryon(person_path, garment_path, garment_type): |
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if not person_path or not garment_path: |
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return None, "Ju lutem ngarkoni të dyja imazhet." |
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person_png = rename_to_image(person_path) |
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garment_png = rename_to_image(garment_path) |
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person_file = handle_file(person_png) |
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garment_file = handle_file(garment_png) |
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try: |
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result = client.predict( |
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person_file, |
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garment_file, |
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ref_acceleration=False, |
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step=40, |
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scale=2.5, |
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seed=42, |
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vt_model_type="viton_hd", |
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vt_garment_type=garment_type, |
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vt_repaint=False, |
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api_name="/leffa_predict_vt", |
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) |
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input_image_path = result[0] |
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random_id = os.urandom(4).hex() |
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output_image_path = os.path.join("Outputs", f"uniqueproc_{random_id}.png") |
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os.makedirs("Outputs", exist_ok=True) |
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with Image.open(input_image_path) as img: |
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img.convert('RGB').save(output_image_path, 'PNG', quality=95) |
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return output_image_path, "" |
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except Exception as e: |
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return None, f"Error processing: {str(e)}" |
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with gr.Blocks(theme=gr.themes.Soft()) as demo: |
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gr.Markdown("") |
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error_msg = gr.Markdown("", visible=False) |
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with gr.Row(): |
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with gr.Column(): |
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src = gr.Image(sources="upload", type="filepath", label="Foto e personit") |
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with gr.Column(): |
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ref = gr.Image(sources="upload", type="filepath", label="Foto e veshjes") |
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with gr.Column(): |
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garment_type = gr.Radio( |
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choices=[("Siper", "upper_body"), |
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("Posht", "lower_body"), |
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("Komplet", "dresses")], |
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value="upper_body", |
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label="Lloji i veshjes", |
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) |
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with gr.Column(): |
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btn = gr.Button("VISHU") |
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out = gr.Image(type="filepath", label="Rezultati") |
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btn.click( |
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virtual_tryon, |
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inputs=[src, ref, garment_type], |
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outputs=[out, error_msg] |
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) |
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demo.launch( |
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share=True, |
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show_error=True, |
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pwa=True, |
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) |
