Update app.py
Browse files
app.py
CHANGED
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@@ -37,15 +37,21 @@ def submit_prompt(prompt):
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# Function to add a new object with validation
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def add_object(object_class, bbox):
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try:
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x1, y1, x2, y2 = map(int, bbox.split(","))
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if x2 < x1 or y2 < y1:
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return "Error: x2 cannot be less than x1 and y2 cannot be less than y1.", []
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if x1 < 0 or y1 < 0 or x2 > 512 or y2 > 512:
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return "Error: Coordinates must be between 0 and 512.", []
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object_classes_list.append(object_class)
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object_bboxes_list.append(bbox)
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combined_list = [[cls, bbox] for cls, bbox in zip(object_classes_list, object_bboxes_list)]
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return combined_list
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except ValueError:
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return "Error: Invalid input format. Use x1,y1,x2,y2.", []
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@@ -80,29 +86,23 @@ def generate_image(prompt, guidance_scale, num_inference_steps, randomize_seed,
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return image, seed
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#
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object_classes_list.clear()
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object_bboxes_list.clear()
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return [], gr.update(value="", interactive=True) # Clear the objects and reset the prompt
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# Gradio UI with custom CSS for orange buttons
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css = """
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button {
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background-color: orange !important;
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color: white !important;
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border: none !important;
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font-weight: bold;
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}
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# Text-to-Image Generator with Object Addition")
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# Put prompt and submit button in the same row
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with gr.
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# Always visible DataFrame
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objects_display = gr.Dataframe(
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@@ -115,7 +115,6 @@ with gr.Blocks(css=css) as demo:
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bbox_input = gr.Textbox(label="Bounding Box (x1,y1,x2,y2)", placeholder="Enter bounding box coordinates")
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add_button = gr.Button("Add Object")
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refresh_button = gr.Button("Refresh") # New Refresh button
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# Advanced settings in a collapsible accordion
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with gr.Accordion("Advanced Settings", open=False):
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@@ -145,7 +144,7 @@ with gr.Blocks(css=css) as demo:
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submit_button.click(
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fn=submit_prompt,
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inputs=prompt,
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outputs=[objects_display, prompt]
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)
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# Add object and update display
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@@ -155,13 +154,6 @@ with gr.Blocks(css=css) as demo:
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outputs=[objects_display]
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)
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# Refresh button to clear arrays and reset inputs
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refresh_button.click(
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fn=clear_arrays,
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inputs=None,
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outputs=[objects_display, prompt]
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)
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# Generate image based on added objects
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generate_button.click(
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fn=generate_image,
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@@ -170,4 +162,4 @@ with gr.Blocks(css=css) as demo:
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)
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if __name__ == "__main__":
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demo.launch()
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# Function to add a new object with validation
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def add_object(object_class, bbox):
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try:
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# Split and convert bbox string into integers
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x1, y1, x2, y2 = map(int, bbox.split(","))
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# Validate the coordinates
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if x2 < x1 or y2 < y1:
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return "Error: x2 cannot be less than x1 and y2 cannot be less than y1.", []
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if x1 < 0 or y1 < 0 or x2 > 512 or y2 > 512:
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return "Error: Coordinates must be between 0 and 512.", []
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# If validation passes, add to the lists
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object_classes_list.append(object_class)
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object_bboxes_list.append(bbox)
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combined_list = [[cls, bbox] for cls, bbox in zip(object_classes_list, object_bboxes_list)]
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return combined_list
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except ValueError:
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return "Error: Invalid input format. Use x1,y1,x2,y2.", []
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return image, seed
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# Gradio UI
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with gr.Blocks() as demo:
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gr.Markdown("# Text-to-Image Generator with Object Addition")
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# Put prompt and submit button in the same row
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with gr.Group():
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with gr.Row():
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# Replace gr.Textbox with gr.Text for a single-line input field
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prompt = gr.Text(
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label="Prompt", # Label for the input field
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show_label=False, # Hide the label
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max_lines=1, # Single-line input
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placeholder="Enter your prompt here", # Placeholder text
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container=False # Remove the container background
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)
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# Replace the button with the simplified "Run" button
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submit_button = gr.Button("Submit Prompt", scale=0) # Add scale for button size
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# Always visible DataFrame
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objects_display = gr.Dataframe(
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bbox_input = gr.Textbox(label="Bounding Box (x1,y1,x2,y2)", placeholder="Enter bounding box coordinates")
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add_button = gr.Button("Add Object")
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# Advanced settings in a collapsible accordion
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with gr.Accordion("Advanced Settings", open=False):
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submit_button.click(
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fn=submit_prompt,
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inputs=prompt,
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outputs=[objects_display, prompt] # Update both the display and prompt input
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)
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# Add object and update display
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outputs=[objects_display]
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)
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# Generate image based on added objects
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generate_button.click(
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fn=generate_image,
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)
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if __name__ == "__main__":
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demo.launch()
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