Spaces:
Running
Running
Rishi Desai
commited on
Commit
·
0f8d917
1
Parent(s):
69f7712
fixed PO info
Browse files
demo.py
CHANGED
@@ -494,6 +494,119 @@ def setup_event_handlers(
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outputs=None
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)
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# ------- Main Application -------
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def build_ui():
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@@ -531,108 +644,25 @@ def build_ui():
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with gr.TabItem("Prompt Optimization") as prompt_tab:
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with gr.Row():
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-
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file_count="multiple",
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label="Upload caption files",
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file_types=[".txt"],
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type="filepath",
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elem_classes="file-upload-container"
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)
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manual_captions = gr.Textbox(
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label="Or enter captions manually (one per line)",
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lines=5,
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placeholder="Enter captions here, one per line",
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elem_classes="prompt-box"
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)
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# Add button to use captions from image captioning tab
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use_generated_captions = gr.Button("Use Captions from Manual Entry", variant="secondary")
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# Function to update manual captions with shared ones
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def fill_with_shared_captions(captions_list):
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if not captions_list or len(captions_list) == 0:
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return "No captions available. Generate captions in the Image Captioning tab first."
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return "\n".join(captions_list)
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-
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# Connect button to fill manual captions area
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use_generated_captions.click(
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fill_with_shared_captions,
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inputs=[shared_captions],
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outputs=[manual_captions]
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)
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with gr.Column(scale=1):
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# Right side for prompt input and output
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gr.Markdown("### Optimize Prompt")
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user_prompt = gr.Textbox(
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label="Enter your prompt",
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lines=3,
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placeholder="Enter the prompt you want to optimize",
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elem_classes="prompt-box"
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)
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optimize_btn = gr.Button("Optimize Prompt", variant="primary", elem_classes="optimize-btn")
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optimized_prompt = gr.Textbox(
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label="Optimized Prompt",
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lines=5,
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placeholder="Optimized prompt will appear here",
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elem_classes="prompt-box"
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)
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optimization_status = gr.Markdown("Enter a prompt and upload captions to begin", elem_classes="optimization-status")
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# Function to handle optimization
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def run_optimization(prompt, caption_files, manual_caption_text):
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if not prompt or prompt.strip() == "":
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return "", "Please enter a prompt to optimize"
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# Handle different input sources for captions
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caption_list = []
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if manual_caption_text and manual_caption_text.strip():
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# Use manually entered captions
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caption_list = [line.strip() for line in manual_caption_text.split("\n") if line.strip()]
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elif caption_files and len(caption_files) > 0:
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# Read captions from uploaded files
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for file_path in caption_files:
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if os.path.exists(file_path) and file_path.lower().endswith('.txt'):
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read().strip()
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if content:
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caption_list.append(content)
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if not caption_list:
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return "", "Please upload caption files or enter captions manually"
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try:
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# Call the optimize_prompt function from prompt.py
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result = optimize_prompt(prompt, captions_list=caption_list)
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return result, "✅ Prompt optimization complete"
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except Exception as e:
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return "", f"❌ Error optimizing prompt: {str(e)}"
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#
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gr.Markdown("""
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**About Prompt Optimization:**
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- This feature helps you craft prompts that match the style of your training captions
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-
- Upload caption files, enter captions manually, or use captions from the Image Captioning tab
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- Enter a simple prompt and the system will optimize it to match your training style
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""", elem_classes=["category-info"])
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#
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)
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# Add CSS styling
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outputs=None
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)
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+
# ------- Prompt Optimization UI -------
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+
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def create_prompt_optimization_ui():
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"""Create UI components for prompt optimization tab"""
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with gr.Column(scale=1) as left_column:
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# Left side for caption input
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gr.Markdown("### Upload Captions")
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gr.Markdown("Upload caption files (.txt) or enter captions manually", elem_classes="file-types-info")
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captions_upload = gr.File(
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file_count="multiple",
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label="Upload caption files",
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file_types=[".txt"],
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type="filepath",
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elem_classes="file-upload-container"
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)
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manual_captions = gr.Textbox(
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label="Or enter captions manually",
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lines=5,
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placeholder="Enter captions here, one per line",
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elem_classes="prompt-box"
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)
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# Add button to use captions from image captioning tab
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use_generated_captions = gr.Button("Use Captions from Manual Entry", variant="secondary")
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with gr.Column(scale=1) as right_column:
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# Right side for prompt input and output
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gr.Markdown("### Optimize Prompt")
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user_prompt = gr.Textbox(
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label="Enter your prompt",
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lines=3,
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placeholder="Enter the prompt you want to optimize",
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elem_classes="prompt-box"
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)
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optimize_btn = gr.Button("Optimize Prompt", variant="primary", elem_classes="optimize-btn")
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optimized_prompt = gr.Textbox(
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label="Optimized Prompt",
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lines=5,
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placeholder="Optimized prompt will appear here",
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elem_classes="prompt-box"
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)
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optimization_status = gr.Markdown("Enter a prompt and upload captions to begin", elem_classes="optimization-status")
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# Return components but NOT info_md (will create it separately in build_ui)
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return (
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left_column, right_column, captions_upload, manual_captions,
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use_generated_captions, user_prompt, optimize_btn,
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optimized_prompt, optimization_status
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)
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def run_optimization(prompt, caption_files, manual_caption_text):
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"""Handle the prompt optimization logic"""
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if not prompt or prompt.strip() == "":
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return "", "Please enter a prompt to optimize"
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+
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# Handle different input sources for captions
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caption_list = []
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+
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if manual_caption_text and manual_caption_text.strip():
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# Use manually entered captions
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caption_list = [line.strip() for line in manual_caption_text.split("\n") if line.strip()]
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+
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elif caption_files and len(caption_files) > 0:
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# Read captions from uploaded files
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for file_path in caption_files:
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if os.path.exists(file_path) and file_path.lower().endswith('.txt'):
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read().strip()
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if content:
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caption_list.append(content)
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if not caption_list:
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return "", "Please upload caption files or enter captions manually"
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try:
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# Call the optimize_prompt function from prompt.py
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result = optimize_prompt(prompt, captions_list=caption_list)
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return result, "✅ Prompt optimization complete"
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except Exception as e:
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return "", f"❌ Error optimizing prompt: {str(e)}"
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def setup_prompt_optimization_handlers(
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captions_upload, manual_captions, use_generated_captions,
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user_prompt, optimize_btn, optimized_prompt,
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optimization_status, shared_captions
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):
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"""Set up event handlers for prompt optimization tab"""
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# Function to update manual captions with shared ones
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def fill_with_shared_captions(captions_list):
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if not captions_list or len(captions_list) == 0:
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return "No captions available. Generate captions in the Image Captioning tab first."
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return "\n".join(captions_list)
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+
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# Connect button to fill manual captions area
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use_generated_captions.click(
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fill_with_shared_captions,
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inputs=[shared_captions],
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outputs=[manual_captions]
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)
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# Connect the optimize button to the optimization function
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optimize_btn.click(
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run_optimization,
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inputs=[user_prompt, captions_upload, manual_captions],
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outputs=[optimized_prompt, optimization_status]
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)
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+
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# ------- Main Application -------
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def build_ui():
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with gr.TabItem("Prompt Optimization") as prompt_tab:
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with gr.Row():
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# Create prompt optimization UI components
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(
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left_column, right_column, captions_upload, manual_captions,
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use_generated_captions, user_prompt, optimize_btn,
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optimized_prompt, optimization_status
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) = create_prompt_optimization_ui()
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# Create info markdown directly at the bottom of the tab
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gr.Markdown("""
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**About Prompt Optimization:**
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- This feature helps you craft prompts that match the style of your training captions
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- Enter a simple prompt and the system will optimize it to match your training style
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""", elem_classes=["category-info"])
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# Set up prompt optimization event handlers
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setup_prompt_optimization_handlers(
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captions_upload, manual_captions, use_generated_captions,
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user_prompt, optimize_btn, optimized_prompt,
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optimization_status, shared_captions
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)
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# Add CSS styling
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