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Update app.py
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app.py
CHANGED
@@ -7,6 +7,8 @@ from pydantic import BaseModel, Field
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from typing import Optional, Literal
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from huggingface_hub.errors import HfHubHTTPError
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class PromptInput(BaseModel):
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text: str = Field(..., description="The initial prompt text")
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meta_prompt_choice: Literal["star","done","physics","morphosis", "verse", "phor","bolism","math","arpe"] = Field(..., description="Choice of meta prompt strategy")
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@@ -153,180 +155,7 @@ class PromptRefiner:
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class GradioInterface:
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def __init__(self, prompt_refiner: PromptRefiner):
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self.prompt_refiner = prompt_refiner
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custom_css =
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.container {
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border: 2px solid #2196F3;
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border-radius: 10px;
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padding: 12px;
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margin: 6px;
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background: white;
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position: relative;
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width: 100% !important;
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max-width: 1200px !important;
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margin: 0 auto 20px auto !important;
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}
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.container::before {
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position: absolute;
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top: -10px;
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left: 20px;
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background: white;
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padding: 0 10px;
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color: #2196F3;
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font-weight: bold;
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font-size: 1.2em;
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}
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.title-container {
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width: fit-content !important;
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margin: 0 auto !important;
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padding: 2px 40px !important;
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border: 1px solid #0066cc !important;
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border-radius: 10px !important;
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background-color: rgba(0, 102, 204, 0.05) !important;
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}
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.title-container * {
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text-align: center;
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margin: 0 !important;
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line-height: 1.2 !important;
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}
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.title-container h1 {
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font-size: 28px !important;
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margin-bottom: 1px !important;
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}
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.title-container h3 {
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font-size: 18px !important;
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margin-bottom: 1px !important;
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}
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.title-container p {
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font-size: 14px !important;
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margin-bottom: 1px !important;
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}
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.input-container::before {
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content: 'PROMPT REFINEMENT';
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}
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.analysis-container::before {
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content: 'ANALYSIS';
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}
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.model-container::before {
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content: 'MODEL APPLICATION';
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}
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.examples-container::before {
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content: 'EXAMPLES';
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}
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/* Resizable textbox */
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.input-container textarea {
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resize: vertical !important;
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min-height: 100px !important;
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max-height: 500px !important;
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width: 100% !important;
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border: 1px solid #ddd !important;
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border-radius: 4px !important;
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padding: 8px !important;
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transition: all 0.3s ease !important;
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}
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.input-container textarea:focus {
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border-color: #2196F3 !important;
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box-shadow: 0 0 0 2px rgba(33, 150, 243, 0.1) !important;
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}
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/* Radio group styling */
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.radio-group {
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background-color: rgba(0, 102, 204, 0.05) !important;
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padding: 10px !important;
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border-radius: 8px !important;
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border: 1px solid rgba(0, 102, 204, 0.1) !important;
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display: flex !important;
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justify-content: center !important;
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flex-wrap: wrap !important;
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gap: 8px !important;
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width: 100% !important;
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}
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.gradio-radio {
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display: flex !important;
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justify-content: center !important;
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flex-wrap: wrap !important;
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gap: 8px !important;
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}
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.gradio-radio label {
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display: flex !important;
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align-items: center !important;
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padding: 6px 12px !important;
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border: 1px solid #ddd !important;
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border-radius: 4px !important;
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cursor: pointer !important;
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background: white !important;
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margin: 4px !important;
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}
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.gradio-radio input[type="radio"]:checked + label {
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background: rgba(0, 102, 204, 0.1) !important;
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border-color: #0066cc !important;
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color: #0066cc !important;
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font-weight: bold !important;
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}
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/* Button styling */
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.gradio-button {
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background-color: white !important;
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color: #2196F3 !important;
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border: 2px solid #2196F3 !important;
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border-radius: 4px !important;
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padding: 8px 16px !important;
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margin: 10px 0 !important;
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font-weight: bold !important;
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transition: all 0.3s ease !important;
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}
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.gradio-button:hover {
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background-color: #2196F3 !important;
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color: white !important;
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box-shadow: 0 2px 5px rgba(33, 150, 243, 0.3) !important;
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}
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/* Accordion styling */
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.gradio-accordion {
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margin: 10px 0 !important;
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border: none !important;
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}
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/* Container alignment */
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.gradio-container {
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display: flex !important;
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flex-direction: column !important;
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align-items: center !important;
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width: 100% !important;
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max-width: 1200px !important;
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margin: 0 auto !important;
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}
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/* Dropdown styling */
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.gradio-dropdown {
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width: 100% !important;
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max-width: 300px !important;
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}
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/* JSON container */
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.full-response-json {
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margin-top: 20px !important;
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padding: 10px !important;
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background-color: rgba(0, 102, 204, 0.05) !important;
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border-radius: 8px !important;
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}
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as self.interface:
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with gr.Column(elem_classes=["container", "title-container"]):
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gr.Markdown("# PROMPT++")
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from typing import Optional, Literal
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from huggingface_hub.errors import HfHubHTTPError
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from custom_css import all
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class PromptInput(BaseModel):
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text: str = Field(..., description="The initial prompt text")
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meta_prompt_choice: Literal["star","done","physics","morphosis", "verse", "phor","bolism","math","arpe"] = Field(..., description="Choice of meta prompt strategy")
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class GradioInterface:
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def __init__(self, prompt_refiner: PromptRefiner):
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self.prompt_refiner = prompt_refiner
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custom_css = custom_css
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with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as self.interface:
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with gr.Column(elem_classes=["container", "title-container"]):
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gr.Markdown("# PROMPT++")
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