Spaces:
Running
on
Zero
Running
on
Zero
Fix step 2 error handling and wire up error_box
Browse files
app.py
CHANGED
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@@ -1,37 +1,43 @@
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import gradio as gr
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from inference import generate_with_lora
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from background_edit import run_background_removal_and_inpaint
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import traceback, torch, gc
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# βββββββββββββββββββββ Helpers βββββββββββββββββββββ
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def _print_trace():
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def safe_generate_with_lora(*a, **kw):
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try:
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except Exception as e:
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_print_trace()
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def unload_models():
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def safe_run_background(*args, **kwargs):
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try:
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unload_models() # free VRAM before
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return run_background_removal_and_inpaint(*args, **kwargs)
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except Exception as e:
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_print_trace()
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raise gr.Error
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# βββββββββββββββββββββ UI βββββββββββββββββββββ
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shared_output = gr.State()
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original_input = gr.State()
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with gr.Blocks() as demo:
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demo.queue()
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# βββββββββββ STEP
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with gr.Tab("Step 1: Headshot Refinement"):
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with gr.Row():
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input_image = gr.Image(type="pil", label="Upload Headshot")
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@@ -56,7 +62,7 @@ with gr.Blocks() as demo:
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def _save_to_state(img):
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return {"step1": img} if img is not None else gr.skip()
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# Build the
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event = (
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run_btn.click(
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fn=safe_generate_with_lora,
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@@ -67,14 +73,15 @@ with gr.Blocks() as demo:
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.then(lambda x: x, input_image, original_input)
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)
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# βββββββββββ STEP
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with gr.Tab("Step 2: Replace Background"):
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#
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error_box = gr.Textbox(label="Error", interactive=False, lines=2)
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with gr.Row():
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inpaint_prompt = gr.Textbox(
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label="New Background Prompt",
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value="modern open
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)
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inpaint_negative = gr.Textbox(
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label="Negative Prompt",
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@@ -88,23 +95,26 @@ with gr.Blocks() as demo:
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inpaint_btn = gr.Button("Remove Background & Inpaint", interactive=False)
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def guarded_inpaint(img, prompt_bg, neg_bg):
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try:
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return out, "" # success
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except Exception as e:
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#
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print(f"[Step 2 ERROR] {type(e).__name__}: {e}", flush=True)
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return None, f"{type(e).__name__}: {e}"
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inpaint_btn.click(
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fn=guarded_inpaint,
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inputs=[shared_output, inpaint_prompt, inpaint_negative],
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outputs=[inpaint_result, error_box],
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)
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# Enable the Step
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event.then(lambda: gr.update(interactive=True), None, inpaint_btn)
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import gradio as gr
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from inference import generate_with_lora
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from background_edit import run_background_removal_and_inpaint
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import traceback, torch, gc
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# βββββββββββββββββββββ Helpers βββββββββββββββββββββ
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def _print_trace():
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traceback.print_exc()
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def safe_generate_with_lora(*a, **kw):
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try:
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return generate_with_lora(*a, **kw)
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except gr.Error:
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_print_trace()
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raise
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except Exception as e:
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_print_trace()
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raise gr.Error(f"Image generation failed: {e}")
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def unload_models():
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torch.cuda.empty_cache()
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gc.collect()
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def safe_run_background(*args, **kwargs):
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try:
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unload_models() # free VRAM before loading the inpainting model
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return run_background_removal_and_inpaint(*args, **kwargs)
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except Exception as e:
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_print_trace()
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# We still raise gr.Error so the wrapper will catch & log
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raise gr.Error(f"[Step 2] Background replacement failed: {type(e).__name__}: {e}")
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# βββββββββββββββββββββ UI βββββββββββββββββββββ
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shared_output = gr.State() # holds the Step 1 output image
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original_input = gr.State() # holds the original upload (optional)
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with gr.Blocks() as demo:
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demo.queue() # enable batching / concurrency
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# βββββββββββ STEP 1: Headshot Refinement βββββββββββ
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with gr.Tab("Step 1: Headshot Refinement"):
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with gr.Row():
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input_image = gr.Image(type="pil", label="Upload Headshot")
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def _save_to_state(img):
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return {"step1": img} if img is not None else gr.skip()
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# Build the click-chain and store it in `event`
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event = (
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run_btn.click(
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fn=safe_generate_with_lora,
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.then(lambda x: x, input_image, original_input)
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)
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# βββββββββββ STEP 2: Background Replacement βββββββββββ
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with gr.Tab("Step 2: Replace Background"):
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# This textbox will show any error messages from Step 2
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error_box = gr.Textbox(label="Error", interactive=False, lines=2)
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with gr.Row():
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inpaint_prompt = gr.Textbox(
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label="New Background Prompt",
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value="modern open-plan startup office background, natural lighting, glass walls, clean design, minimalistic decor"
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)
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inpaint_negative = gr.Textbox(
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label="Negative Prompt",
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inpaint_btn = gr.Button("Remove Background & Inpaint", interactive=False)
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def guarded_inpaint(img, prompt_bg, neg_bg):
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# If no image is in state, return an error immediately
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if img is None:
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return None, "Error: No headshot foundβplease run Step 1 first."
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try:
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print("[DEBUG] Starting background removal and inpaintingβ¦", flush=True)
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result = safe_run_background(img, prompt_bg, neg_bg)
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return result, "" # success: show result, clear error
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except Exception as e:
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# Log to console/Space logs
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print(f"[Step 2 ERROR] {type(e).__name__}: {e}", flush=True)
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return None, f"{type(e).__name__}: {e}"
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inpaint_btn.click(
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fn=guarded_inpaint,
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inputs=[shared_output, inpaint_prompt, inpaint_negative],
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outputs=[inpaint_result, error_box], # wire both outputs!
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)
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# Enable the Step 2 button once Step 1βs chain finishes
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event.then(lambda: gr.update(interactive=True), None, inpaint_btn)
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# Launch in debug mode so exceptions & prints go to your terminal/logs
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demo.launch(debug=True)
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