Update app.py
Browse files
app.py
CHANGED
@@ -33,31 +33,39 @@ def update_imgbox(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label=m, visible=(m != 'NA'), elem_id="custom_image") for m in choices_plus]
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def gen_fn(model_str, prompt, negative_prompt, max_retries=10):
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if model_str == 'NA':
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return None
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retries = 0
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while retries < max_retries:
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try:
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noise = str(randint(0, 9999999))
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if hasattr(models_load[model_str], 'negative_prompt'):
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result = models_load[model_str](f'{prompt} {noise}', negative_prompt=negative_prompt)
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else:
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result = models_load[model_str](f'{prompt} {noise}')
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-
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except Exception as e:
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# Check for specific error messages or status codes
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if "CUDA out of memory" in str(e) or "500" in str(e):
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-
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else:
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-
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retries += 1
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if retries >= max_retries:
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-
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return None
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def make_me():
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with gr.Row():
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@@ -79,9 +87,11 @@ def make_me():
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with gr.Row():
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output = [gr.Image(label=m, min_width=250, height=250, elem_id="custom_image") for m in default_models]
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current_models = [gr.Textbox(m, visible=False) for m in default_models]
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for m, o in zip(current_models, output):
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gen_event = gen_button.click(gen_fn, [m, txt_input, negative_txt_input], o)
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button], cancels=[gen_event])
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with gr.Accordion('Model selection', elem_id="custom_accordion"):
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@@ -230,6 +240,17 @@ body {
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width: 100%;
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box-sizing: border-box;
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}
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@media (max-width: 768px) {
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.gradio-container {
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width: 100%;
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label=m, visible=(m != 'NA'), elem_id="custom_image") for m in choices_plus]
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+
def gen_fn(model_str, prompt, negative_prompt, max_retries=10, progress=gr.Progress()):
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if model_str == 'NA':
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return None
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retries = 0
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feedback = ""
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while retries < max_retries:
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try:
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noise = str(randint(0, 9999999))
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with progress(tracker=True) as pbar:
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for step in range(1, 101):
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time.sleep(0.05) # Simulate work being done
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pbar(step / 100)
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if hasattr(models_load[model_str], 'negative_prompt'):
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result = models_load[model_str](f'{prompt} {noise}', negative_prompt=negative_prompt)
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else:
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result = models_load[model_str](f'{prompt} {noise}')
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feedback += f"{get_current_time()} - Attempt {retries + 1}: Success for {model_str}\n"
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return result, feedback
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except Exception as e:
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# Check for specific error messages or status codes
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if "CUDA out of memory" in str(e) or "500" in str(e):
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feedback += f"{get_current_time()} - CUDA out of memory or server error for {model_str}: {e}\n"
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else:
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feedback += f"{get_current_time()} - Error generating image for {model_str}: {e}\n"
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retries += 1
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if retries >= max_retries:
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feedback += f"{get_current_time()} - Failed to generate image after {max_retries} retries for {model_str}\n"
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raise Exception(f"Failed to generate image after {max_retries} retries for {model_str}.")
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return None, feedback
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def make_me():
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with gr.Row():
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with gr.Row():
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output = [gr.Image(label=m, min_width=250, height=250, elem_id="custom_image") for m in default_models]
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progress_bars = [gr.Progress(label=f"Progress for {m}", visible=(m != 'NA')) for m in default_models]
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feedback_box = gr.Textbox(label="Feedback", lines=10, interactive=False, elem_id="custom_feedback_box")
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current_models = [gr.Textbox(m, visible=False) for m in default_models]
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for m, o, p, c in zip(current_models, output, progress_bars, default_models):
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gen_event = gen_button.click(gen_fn, [m, txt_input, negative_txt_input, gr.Slider(1, 10, value=10, label="Max Retries"), p], [o, feedback_box], cancels=[gen_event])
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button], cancels=[gen_event])
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with gr.Accordion('Model selection', elem_id="custom_accordion"):
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width: 100%;
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box-sizing: border-box;
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}
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.custom_feedback_box {
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background-color: #2d343f;
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border: 1px solid #3b4252;
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color: #7f8184;
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padding: 10px;
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border-radius: 4px;
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margin-top: 10px;
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width: 100%;
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box-sizing: border-box;
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overflow-y: auto;
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}
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@media (max-width: 768px) {
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.gradio-container {
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width: 100%;
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