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DentaInstruct-1.2B

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chrisvoncsefalvay commited on 7 days ago

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0570cd5

1 Parent(s): 146b507

Major UI improvements: Enhanced design, fixed dark mode, better examples

- Changed title to 'DentaInstruct-1.2B Demo'
- Fixed disclaimer visibility in dark mode with gradient design
- Added professional header with model statistics
- Categorised examples into 5 dental domains
- Added capability cards showcasing model strengths
- Improved chat interface with better spacing and borders
- Enhanced button styling with gradients and hover effects
- Added comprehensive About section with model details
- Improved mobile responsiveness
- Better dark mode support throughout

Files changed (2) hide show

README.md +41 -22
app.py +515 -99

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-title: Dental VQA Model Comparison
 emoji: 🦷
 colorFrom: blue
 colorTo: green
@@ -12,37 +12,56 @@ models:
   - yasserrmd/DentaInstruct-1.2B
 ---
-# Dental VQA Model Comparison
-An interactive Gradio interface for comparing dental visual question answering models, currently featuring the DentaInstruct-1.2B model for educational information about dental health and oral care.
-## Features
-- Interactive chat interface for dental health questions
-- Adjustable generation parameters (temperature, max tokens, etc.)
-- Example questions to get started
-- Mobile-responsive design
-- Clear disclaimers about educational use only
 ## Important Disclaimer
-⚠️ **This model is for educational purposes only.** It is NOT a substitute for professional dental care. Do not use this model for clinical diagnosis or treatment advice. Always consult a qualified dental professional.
-## Model Information
-- **Base Model**: LFM2-1.2B
-- **Parameters**: 1.17B
-- **Training Data**: Dental subset of MIRIAD dataset
-- **Purpose**: Educational dental information
-## Usage
-Ask questions about:
-- Dental procedures and treatments
-- Oral health and hygiene
-- Common dental conditions
-- Preventive dental care
-- Dental anatomy and terminology
 ## Credits

 ---
+title: DentaInstruct-1.2B Demo
 emoji: 🦷
 colorFrom: blue
 colorTo: green
   - yasserrmd/DentaInstruct-1.2B
 ---
+# DentaInstruct-1.2B Demo
+An advanced AI-powered dental education assistant featuring the DentaInstruct-1.2B model, designed to provide comprehensive educational information about dental health, procedures, and oral care.
+## Key Features
+### 🎯 Specialised Dental AI
+- **Domain-Specific Training**: Fine-tuned on comprehensive dental educational content from the MIRIAD dataset
+- **1.17B Parameters**: Optimised for efficient, fast responses while maintaining accuracy
+- **Context-Aware**: Maintains conversation history for more coherent, contextual responses
+### 💡 Comprehensive Coverage
+- **Patient Education**: Clear explanations of dental conditions and treatments
+- **Procedure Details**: Step-by-step breakdowns of dental procedures
+- **Prevention & Care**: Evidence-based oral hygiene guidance
+- **Paediatric Dentistry**: Specialised information for children's dental health
+- **Emergency Guidance**: Educational information about dental emergencies
+- **Professional Terminology**: Detailed explanations of dental anatomy and terms
+### 🚀 Advanced Interface
+- **Intuitive Chat Interface**: Natural conversation flow with the AI assistant
+- **Categorised Examples**: Quick-start questions organised by topic
+- **Customisable Parameters**: Fine-tune response generation (temperature, length, etc.)
+- **Dark Mode Support**: Fully optimised for both light and dark themes
+- **Mobile Responsive**: Works seamlessly on all devices
+- **Fast Response Times**: Typically under 2 seconds per query
 ## Important Disclaimer
+⚠️ **Educational Use Only**: This AI model provides educational information about dental topics and is designed for learning purposes only. It is **NOT** a substitute for professional dental or medical advice, diagnosis, or treatment. Always seek the advice of your dentist or qualified healthcare provider with any questions about a medical condition or treatment.
+## Model Specifications
+| Specification | Details |
+|--------------|---------|
+| **Architecture** | Transformer-based language model |
+| **Base Model** | LiquidAI LFM2-1.2B |
+| **Parameters** | 1.17 billion |
+| **Training Data** | MIRIAD dental dataset |
+| **Context Length** | 2048 tokens |
+| **Inference** | GPU-accelerated with bfloat16 precision |
+| **Response Time** | < 2 seconds average |
+## Use Cases
+- **Patient Education**: Help patients understand dental procedures and conditions
+- **Student Learning**: Assist dental students with study materials and explanations
+- **Quick Reference**: Look up dental terminology and concepts
+- **Treatment Understanding**: Learn about various treatment options
+- **Preventive Care**: Get guidance on oral health maintenance
 ## Credits

app.py CHANGED Viewed

@@ -107,150 +107,566 @@ def generate_response(
     return response
-# Example questions
-EXAMPLES = [
-    ["What are the main types of dental cavities?"],
-    ["Explain the process of root canal treatment"],
-    ["What is the difference between gingivitis and periodontitis?"],
-    ["How should I care for my teeth after a dental extraction?"],
-    ["What are the benefits of fluoride in dental care?"],
-    ["Explain the stages of tooth development in children"],
-    ["What causes tooth sensitivity and how can it be treated?"],
-    ["Describe the different types of dental fillings available"],
-]
-# Custom CSS for styling
 custom_css = """
-.disclaimer {
-    background-color: #fff3cd;
-    border: 1px solid #ffc107;
-    border-radius: 5px;
-    padding: 10px;
-    margin-bottom: 15px;
 }
 """
-# Create Gradio interface
 with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
-    gr.Markdown(
         """
-        # Dental VQA Model Comparison
-        Interactive comparison of dental visual question answering models. Currently featuring DentaInstruct-1.2B for dental education and oral health information.
         """
     )
     gr.HTML(
         """
-        <div class="disclaimer">
-        <strong>⚠️ Important Disclaimer:</strong><br>
-        This model is for educational purposes only. It is NOT a substitute for professional dental care.
-        Do not use this model for clinical diagnosis or treatment advice. Always consult a qualified dental professional.
         </div>
         """
     )
-    chatbot = gr.Chatbot(
-        height=400,
-        label="Conversation"
     )
-    msg = gr.Textbox(
-        label="Your dental question",
-        placeholder="Ask a question about dental health, procedures, or oral care...",
-        lines=2
     )
     with gr.Row():
-        submit = gr.Button("Send", variant="primary")
-        clear = gr.Button("Clear")
-    with gr.Accordion("Advanced Settings", open=False):
-        temperature = gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.3,
-            step=0.1,
-            label="Temperature",
-            info="Controls randomness in responses"
-        )
-        max_new_tokens = gr.Slider(
-            minimum=64,
-            maximum=1024,
-            value=512,
-            step=64,
-            label="Max New Tokens",
-            info="Maximum length of the response"
-        )
-        top_p = gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p",
-            info="Nucleus sampling parameter"
         )
-        repetition_penalty = gr.Slider(
-            minimum=1.0,
-            maximum=1.5,
-            value=1.05,
-            step=0.05,
-            label="Repetition Penalty",
-            info="Reduces repetition in responses"
         )
-    gr.Examples(
-        examples=EXAMPLES,
-        inputs=msg,
-        label="Example Questions"
-    )
     gr.Markdown(
         """
-        ## About the model
-        DentaInstruct-1.2B is a specialised language model fine-tuned on dental educational content.
-        It's designed to provide educational information about dental health, procedures, and oral care.
-        **Model Details:**
-        - Base Model: LFM2-1.2B
-        - Parameters: 1.17B
-        - Training Data: Dental subset of MIRIAD dataset
-        - Purpose: Educational dental information
-        **Created by:** @yasserrmd | **Space by:** @chrisvoncsefalvay
         """
     )
     # Event handlers
     def respond(message, chat_history, temperature, max_new_tokens, top_p, repetition_penalty):
-        response = generate_response(
-            message,
-            chat_history,
-            temperature,
-            max_new_tokens,
-            top_p,
-            repetition_penalty
-        )
-        chat_history.append((message, response))
-        return "", chat_history
     msg.submit(
         respond,
         [msg, chatbot, temperature, max_new_tokens, top_p, repetition_penalty],
-        [msg, chatbot]
     )
     submit.click(
         respond,
         [msg, chatbot, temperature, max_new_tokens, top_p, repetition_penalty],
-        [msg, chatbot]
     )
-    clear.click(lambda: None, None, chatbot, queue=False)
 if __name__ == "__main__":
-    demo.launch()

     return response
+# Categorised example questions for better showcase
+EXAMPLE_CATEGORIES = {
+    "Patient Education": [
+        "What are the main types of dental cavities and how can I prevent them?",
+        "Explain the stages of gum disease from gingivitis to periodontitis",
+        "What should I expect during my first dental cleaning appointment?",
+    ],
+    "Treatment Procedures": [
+        "Walk me through the steps of a root canal treatment",
+        "What's the difference between a crown and a veneer?",
+        "How does the dental implant process work from start to finish?",
+    ],
+    "Oral Health & Prevention": [
+        "What's the proper brushing technique for optimal plaque removal?",
+        "How does fluoride protect teeth and is it safe for children?",
+        "What foods should I avoid to maintain healthy teeth?",
+    ],
+    "Paediatric Dentistry": [
+        "When should a child have their first dental visit?",
+        "Explain the tooth eruption timeline in children",
+        "How can parents help prevent early childhood cavities?",
+    ],
+    "Emergency & Post-Care": [
+        "What should I do if I knock out a permanent tooth?",
+        "How should I care for my mouth after wisdom tooth extraction?",
+        "What are signs of a dental infection that needs immediate attention?",
+    ]
+}
+# Flatten examples for the Examples component
+EXAMPLES = []
+for category, questions in EXAMPLE_CATEGORIES.items():
+    for question in questions:
+        EXAMPLES.append([question])
+# Custom CSS for improved styling with proper dark mode support
 custom_css = """
+/* Improved disclaimer box with proper dark mode support */
+.disclaimer-box {
+    background: linear-gradient(135deg, #fff9e6 0%, #fff3cd 100%);
+    border: 2px solid #f0ad4e;
+    border-radius: 10px;
+    padding: 16px 20px;
+    margin: 20px 0;
+    font-size: 14px;
+    line-height: 1.6;
+    position: relative;
+    overflow: hidden;
+}
+/* Dark mode disclaimer */
+.dark .disclaimer-box {
+    background: linear-gradient(135deg, #3d2f1f 0%, #4a3a28 100%);
+    border: 2px solid #d4a574;
+    color: #ffd9b3;
+}
+.disclaimer-box::before {
+    content: '';
+    position: absolute;
+    left: 0;
+    top: 0;
+    bottom: 0;
+    width: 4px;
+    background: #f0ad4e;
+}
+.dark .disclaimer-box::before {
+    background: #d4a574;
+}
+.disclaimer-title {
+    font-weight: 600;
+    color: #d58512;
+    margin-bottom: 8px;
+    display: flex;
+    align-items: center;
+    gap: 8px;
+}
+.dark .disclaimer-title {
+    color: #ffa500;
+}
+.disclaimer-text {
+    color: #856404;
+}
+.dark .disclaimer-text {
+    color: #ffd9b3;
+}
+/* Model capabilities cards */
+.capability-cards {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 16px;
+    margin: 20px 0;
+}
+.capability-card {
+    background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);
+    border: 1px solid #dee2e6;
+    border-radius: 8px;
+    padding: 16px;
+    transition: transform 0.2s, box-shadow 0.2s;
+}
+.dark .capability-card {
+    background: linear-gradient(135deg, #2b2b2b 0%, #1f1f1f 100%);
+    border: 1px solid #404040;
+}
+.capability-card:hover {
+    transform: translateY(-2px);
+    box-shadow: 0 4px 12px rgba(0,0,0,0.1);
+}
+.dark .capability-card:hover {
+    box-shadow: 0 4px 12px rgba(255,255,255,0.1);
+}
+.capability-title {
+    font-weight: 600;
+    color: #495057;
+    margin-bottom: 8px;
+    font-size: 16px;
+}
+.dark .capability-title {
+    color: #e9ecef;
+}
+.capability-description {
+    color: #6c757d;
+    font-size: 14px;
+    line-height: 1.5;
+}
+.dark .capability-description {
+    color: #adb5bd;
+}
+/* Stats badges */
+.stats-container {
+    display: flex;
+    gap: 16px;
+    flex-wrap: wrap;
+    margin: 16px 0;
+}
+.stat-badge {
+    background: linear-gradient(135deg, #e7f3ff 0%, #cfe2ff 100%);
+    border: 1px solid #b6d4fe;
+    border-radius: 20px;
+    padding: 8px 16px;
+    display: flex;
+    align-items: center;
+    gap: 8px;
+}
+.dark .stat-badge {
+    background: linear-gradient(135deg, #1a3a52 0%, #0f2940 100%);
+    border: 1px solid #2563eb;
+}
+.stat-label {
+    color: #0066cc;
+    font-weight: 500;
+    font-size: 12px;
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+}
+.dark .stat-label {
+    color: #60a5fa;
+}
+.stat-value {
+    color: #004099;
+    font-weight: 700;
+    font-size: 14px;
+}
+.dark .stat-value {
+    color: #93bbfc;
+}
+/* Improved button styling */
+.gr-button-primary {
+    background: linear-gradient(135deg, #0066cc 0%, #0052a3 100%) !important;
+    border: none !important;
+    color: white !important;
+    font-weight: 600 !important;
+    transition: all 0.3s ease !important;
+}
+.gr-button-primary:hover {
+    background: linear-gradient(135deg, #0052a3 0%, #003d7a 100%) !important;
+    transform: translateY(-1px);
+    box-shadow: 0 4px 12px rgba(0, 102, 204, 0.3);
+}
+/* Chat improvements */
+.gr-chatbot {
+    border-radius: 12px !important;
+    border: 1px solid #dee2e6 !important;
+}
+.dark .gr-chatbot {
+    border: 1px solid #404040 !important;
+}
+/* Example section styling */
+.example-category {
+    margin-bottom: 12px;
+    padding: 12px;
+    background: #f8f9fa;
+    border-radius: 8px;
+}
+.dark .example-category {
+    background: #1f1f1f;
+}
+.example-category-title {
+    font-weight: 600;
+    color: #495057;
+    margin-bottom: 8px;
+    font-size: 14px;
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+}
+.dark .example-category-title {
+    color: #e9ecef;
+}
+/* Header styling */
+.main-header {
+    background: linear-gradient(135deg, #0066cc 0%, #0052a3 100%);
+    color: white;
+    padding: 32px;
+    border-radius: 12px;
+    margin-bottom: 24px;
+    text-align: center;
+}
+.dark .main-header {
+    background: linear-gradient(135deg, #1e3a8a 0%, #1e40af 100%);
+}
+.header-title {
+    font-size: 36px;
+    font-weight: 700;
+    margin-bottom: 12px;
+}
+.header-subtitle {
+    font-size: 18px;
+    opacity: 0.95;
+    font-weight: 400;
+}
+/* Mobile responsiveness */
+@media (max-width: 768px) {
+    .capability-cards {
+        grid-template-columns: 1fr;
+    }
+    .stats-container {
+        flex-direction: column;
+    }
+    .stat-badge {
+        width: 100%;
+        justify-content: center;
+    }
+    .header-title {
+        font-size: 28px;
+    }
+    .header-subtitle {
+        font-size: 16px;
+    }
 }
 """
+# Create Gradio interface with improved design
 with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
+    # Professional header with gradient
+    gr.HTML(
         """
+        <div class="main-header">
+            <h1 class="header-title">🦷 DentaInstruct-1.2B Demo</h1>
+            <p class="header-subtitle">Advanced AI assistant for dental education and oral health information</p>
+        </div>
         """
     )
+    # Model statistics and capabilities
     gr.HTML(
         """
+        <div class="stats-container">
+            <div class="stat-badge">
+                <span class="stat-label">Model Size</span>
+                <span class="stat-value">1.17B params</span>
+            </div>
+            <div class="stat-badge">
+                <span class="stat-label">Base Model</span>
+                <span class="stat-value">LFM2-1.2B</span>
+            </div>
+            <div class="stat-badge">
+                <span class="stat-label">Training Data</span>
+                <span class="stat-value">MIRIAD Dental</span>
+            </div>
+            <div class="stat-badge">
+                <span class="stat-label">Response Time</span>
+                <span class="stat-value">< 2 seconds</span>
+            </div>
         </div>
         """
     )
+    # Improved disclaimer with better visibility
+    gr.HTML(
+        """
+        <div class="disclaimer-box">
+            <div class="disclaimer-title">
+                ⚠️ Educational Use Only - Important Medical Disclaimer
+            </div>
+            <div class="disclaimer-text">
+                This AI model provides educational information about dental topics and is designed for learning purposes only.
+                It is <strong>NOT</strong> a substitute for professional dental or medical advice, diagnosis, or treatment.
+                Always seek the advice of your dentist or qualified healthcare provider with any questions about a medical condition or treatment.
+            </div>
+        </div>
+        """
     )
+    # Model capabilities showcase
+    gr.HTML(
+        """
+        <h2 style="margin-top: 24px; margin-bottom: 16px;">What can DentaInstruct help you with?</h2>
+        <div class="capability-cards">
+            <div class="capability-card">
+                <div class="capability-title">📚 Patient Education</div>
+                <div class="capability-description">Clear explanations of dental conditions, treatments, and procedures in patient-friendly language</div>
+            </div>
+            <div class="capability-card">
+                <div class="capability-title">🔍 Procedure Details</div>
+                <div class="capability-description">Step-by-step breakdowns of common dental procedures from cleanings to complex treatments</div>
+            </div>
+            <div class="capability-card">
+                <div class="capability-title">🛡️ Prevention Tips</div>
+                <div class="capability-description">Evidence-based oral hygiene guidance and preventive care recommendations</div>
+            </div>
+            <div class="capability-card">
+                <div class="capability-title">👶 Paediatric Dentistry</div>
+                <div class="capability-description">Specialised information about children's dental development and care</div>
+            </div>
+            <div class="capability-card">
+                <div class="capability-title">🚨 Emergency Guidance</div>
+                <div class="capability-description">Educational information about dental emergencies and post-treatment care</div>
+            </div>
+            <div class="capability-card">
+                <div class="capability-title">🦷 Anatomy & Terms</div>
+                <div class="capability-description">Detailed explanations of dental anatomy and professional terminology</div>
+            </div>
+        </div>
+        """
     )
+    # Main chat interface
     with gr.Row():
+        with gr.Column(scale=1):
+            chatbot = gr.Chatbot(
+                height=500,
+                label="Dental Education Assistant",
+                show_label=True,
+                avatar_images=None,
+                bubble_full_width=False,
+                render_markdown=True,
+            )
+            with gr.Row():
+                msg = gr.Textbox(
+                    label="Your dental question",
+                    placeholder="Ask about dental procedures, oral health, treatment options, or any dental topic...",
+                    lines=3,
+                    scale=4,
+                    container=False,
+                )
+            with gr.Row():
+                submit = gr.Button("Send Question", variant="primary", scale=1)
+                clear = gr.Button("Clear Chat", scale=1)
+    # Advanced settings in a collapsible section
+    with gr.Accordion("⚙️ Advanced Settings", open=False):
+        with gr.Row():
+            with gr.Column(scale=1):
+                temperature = gr.Slider(
+                    minimum=0.1,
+                    maximum=1.0,
+                    value=0.3,
+                    step=0.1,
+                    label="Temperature",
+                    info="Lower values (0.1-0.3) for factual responses, higher (0.7-1.0) for creative explanations"
+                )
+                max_new_tokens = gr.Slider(
+                    minimum=64,
+                    maximum=1024,
+                    value=512,
+                    step=64,
+                    label="Response Length",
+                    info="Maximum number of tokens in the response"
+                )
+            with gr.Column(scale=1):
+                top_p = gr.Slider(
+                    minimum=0.1,
+                    maximum=1.0,
+                    value=0.95,
+                    step=0.05,
+                    label="Top-p (Nucleus Sampling)",
+                    info="Controls diversity of word choices"
+                )
+                repetition_penalty = gr.Slider(
+                    minimum=1.0,
+                    maximum=1.5,
+                    value=1.05,
+                    step=0.05,
+                    label="Repetition Penalty",
+                    info="Reduces repetitive phrases in responses"
+                )
+    # Example questions organised by category
+    with gr.Accordion("💡 Example Questions by Category", open=True):
+        gr.Examples(
+            examples=EXAMPLES[:8],  # Show first 8 examples
+            inputs=msg,
+            label="Quick Start Examples",
         )
+        # Additional categorised examples
+        gr.Markdown(
+            """
+            ### More Example Categories:
+            - **Patient Education**: Understanding conditions, prevention, and treatment basics
+            - **Treatment Procedures**: Detailed explanations of dental procedures
+            - **Oral Health & Prevention**: Daily care and preventive measures
+            - **Paediatric Dentistry**: Children's dental health and development
+            - **Emergency & Post-Care**: Urgent situations and aftercare instructions
+            """
         )
+    # About section with professional information
     gr.Markdown(
         """
+        ---
+        ## About DentaInstruct-1.2B
+        DentaInstruct-1.2B is a specialised language model fine-tuned specifically for dental education and oral health information.
+        Built on the efficient LFM2-1.2B architecture, it combines compact size with domain expertise to provide accurate,
+        educational content about dentistry.
+        ### Key Features:
+        - **Specialised Training**: Fine-tuned on comprehensive dental educational content from the MIRIAD dataset
+        - **Efficient Architecture**: 1.17B parameters optimised for fast response times
+        - **Broad Coverage**: Knowledgeable about general dentistry, orthodontics, periodontics, endodontics, and more
+        - **Educational Focus**: Designed to explain complex dental concepts in accessible language
+        - **Multi-context Support**: Can handle patient education, professional discussions, and academic queries
+        ### Technical Specifications:
+        - **Architecture**: Transformer-based language model
+        - **Base Model**: LiquidAI LFM2-1.2B
+        - **Training Method**: Supervised fine-tuning on dental domain data
+        - **Context Length**: 2048 tokens
+        - **Inference**: Optimised for GPU acceleration with bfloat16 precision
+        ### Use Cases:
+        - Patient education materials and explanations
+        - Dental student study assistance
+        - Quick reference for dental terminology
+        - Understanding treatment options and procedures
+        - Oral health and hygiene guidance
+        ### Important Considerations:
+        - This model is for educational purposes only
+        - Not intended for clinical decision-making
+        - Information should be verified with professional sources
+        - Always consult qualified dental professionals for personal health concerns
+        ---
+        **Model Creator**: [@yasserrmd](https://huggingface.co/yasserrmd) |
+        **Space Developer**: [@chrisvoncsefalvay](https://huggingface.co/chrisvoncsefalvay) |
+        **License**: Apache 2.0
+        🔗 [Model Card](https://huggingface.co/yasserrmd/DentaInstruct-1.2B) |
+        📊 [MIRIAD Dataset](https://huggingface.co/datasets/miriad) |
+        💬 [Report Issues](https://huggingface.co/spaces/chrisvoncsefalvay/dental-vqa-comparison/discussions)
         """
     )
     # Event handlers
     def respond(message, chat_history, temperature, max_new_tokens, top_p, repetition_penalty):
+        """Handle user messages and generate responses"""
+        if not message.strip():
+            gr.Warning("Please enter a question")
+            return "", chat_history
+        try:
+            response = generate_response(
+                message,
+                chat_history,
+                temperature,
+                max_new_tokens,
+                top_p,
+                repetition_penalty
+            )
+            chat_history.append((message, response))
+            return "", chat_history
+        except Exception as e:
+            gr.Error(f"An error occurred: {str(e)}")
+            return message, chat_history
+    # Connect event handlers
     msg.submit(
         respond,
         [msg, chatbot, temperature, max_new_tokens, top_p, repetition_penalty],
+        [msg, chatbot],
+        queue=True
     )
     submit.click(
         respond,
         [msg, chatbot, temperature, max_new_tokens, top_p, repetition_penalty],
+        [msg, chatbot],
+        queue=True
     )
+    clear.click(
+        lambda: (None, ""),
+        None,
+        [chatbot, msg],
+        queue=False
+    )
+# Launch configuration
 if __name__ == "__main__":
+    demo.queue(max_size=10)
+    demo.launch(
+        share=False,
+        show_error=True,
+        server_name="0.0.0.0",
+        server_port=7860
+    )