Update app.py

app.py

@@ -1,210 +1,4 @@
-# Create Gradio interface
-def create_gradio_app():
-    with gr.Blocks(title="Lesbian Greek Morphosyntactic Parser", theme=gr.themes.Soft()) as app:
-        gr.Markdown("""
-        # Lesbian Greek Morphosyntactic Parser
-        
-        This tool uses custom Stanza models trained specifically for the **Lesbian dialect of Greek** 
-        (spoken on the island of Lesbos). Choose between two different model variants:
-        
-        - **Lesbian-only**: Trained exclusively on Lesbian dialect data
-        - **Lesbian-synthetic-data**: Enhanced with synthetic data from NGUD for improved coverage
-        
-        ## Model Features
-        
-        Both models provide:
-        - **Tokenization**: Splits text into tokens
-        - **POS Tagging**: Part-of-speech classification
-        - **Lemmatization**: Base form identification  
-        - **Dependency Parsing**: Syntactic relationship analysis
-        - **CoNLL-U Output**: Standard linguistic annotation format
-        
-        ## About the Models
-        
-        The **Lesbian-only** model was trained on a curated treebank of 540 sentences from both oral and written 
-        sources collected from various villages of Lesbos, including Agra, Chidira, Eressos, 
-        Pterounta, Mesotopos, and Parakoila.
-        
-        The **Lesbian-synthetic-data** model enhances the original with additional synthetic data 
-        generated using NGUD (Neural Grammatical Universal Dependencies) techniques.
-        
-        **Citation**: Bompolas, S., Markantonatou, S., Ralli, A., & Anastasopoulos, A. (2025). 
-        Crossing Dialectal Boundaries: Building a Treebank for the Dialect of Lesbos through 
-        Knowledge Transfer from Standard Modern Greek.
-        
-        Enter your Lesbian Greek text below to get started!
-        """)
-        
-        # Show model status for both models
-        any_model_loaded = LESBIAN_ONLY_MODEL is not None or LESBIAN_SYNTHETIC_MODEL is not None
-        
-        if any_model_loaded:
-            status_html = "### Model Status\n\n"
-            for model_name, result in model_results.items():
-                if "✅" in result:
-                    status_html += f"- **{model_name.replace('-', ' ').title()}**: {result}\n"
-                elif "⚠️" in result:
-                    status_html += f"- **{model_name.replace('-', ' ').title()}**: {result}\n"
-                else:
-                    status_html += f"- **{model_name.replace('-', ' ').title()}**: ❌ {result}\n"
-            gr.Markdown(status_html)
-        else:
-            gr.Markdown("""
-            ❌ **Model Loading Error**: No models could be loaded.
-            
-            This may be due to:
-            - Network issues downloading the models
-            - Missing dependencies (transformers library)
-            - Insufficient memory or storage
-            - Model compatibility issues
-            
-            Please try refreshing the page or contact the developers.
-            """)
-        
-        with gr.Row():
-            with gr.Column():
-                # Model selection
-                model_selector = gr.Dropdown(
-                    choices=[
-                        ("Lesbian-only (Original)", "lesbian-only"),
-                        ("Lesbian-synthetic-data (Enhanced)", "lesbian-synthetic-data")
-                    ],
-                    value="lesbian-only",
-                    label="Select Model",
-                    info="Choose which Lesbian Greek model to use for parsing",
-                    interactive=any_model_loaded
-                )
-                
-                text_input = gr.Textbox(
-                    label="Lesbian Greek Text Input",
-                    placeholder="Εισάγετε το κείμενο στη Λεσβιακή διάλεκτο..." if any_model_loaded else "Models not loaded - please refresh page",
-                    lines=4,
-                    value="Τα παιδιά πάντ στο κήπ." if any_model_loaded else "",
-                    interactive=any_model_loaded
-                )
-                
-                parse_button = gr.Button(
-                    "Parse Lesbian Greek Text", 
-                    variant="primary", 
-                    size="lg",
-                    interactive=any_model_loaded
-                )
-        
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### Interactive Dependency Tree")
-                dependency_tree_viz = gr.HTML(
-                    label="Visual Dependency Tree",
-                    value="<p>Enter text and click parse to see the dependency tree visualization</p>"
-                )
-        
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### CoNLL-U Output")
-                conllu_output = gr.Textbox(
-                    label="CoNLL-U Format",
-                    lines=10,
-                    max_lines=20,
-                    show_copy_button=True,
-                    info="Raw CoNLL-U format output optimized for Lesbian Greek dialect"
-                )
-        
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### Parsed Data Table")
-                data_table = gr.Dataframe(
-                    label="Token Analysis",
-                    interactive=False,
-                    wrap=True
-                )
-        
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### Text-based Dependency Structure")
-                dependency_viz = gr.Textbox(
-                    label="Dependency Relationships",
-                    lines=8,
-                    max_lines=15,
-                    show_copy_button=True,
-                    info="Text-based visualization of syntactic dependencies"
-                )
-        
-        # Event handling
-        if any_model_loaded:
-            parse_button.click(
-                fn=process_text,
-                inputs=[text_input, model_selector],
-                outputs=[conllu_output, data_table, dependency_viz, dependency_tree_viz]
-            )
-            
-            # Also trigger on Enter in text input
-            text_input.submit(
-                fn=process_text,
-                inputs=[text_input, model_selector],
-                outputs=[conllu_output, data_table, dependency_viz, dependency_tree_viz]
-            )
-        
-        # Add Lesbian Greek examples (if available)
-        if any_model_loaded:
-            gr.Markdown("### Example Lesbian Greek Texts")
-            examples = [
-                ["Τα παιδιά πάντ στο κήπ.", "lesbian-only"],
-                ["Η γάτα κάθεται στο τραπέζ.", "lesbian-only"],
-                ["Ο ήλιος λάμπει στον ουρανό.", "lesbian-synthetic-data"],
-                ["Η θάλασσα είναι γαλάζια και όμορφη.", "lesbian-synthetic-data"],
-            ]
-            
-            gr.Examples(
-                examples=examples,
-                inputs=[text_input, model_selector],
-                outputs=[conllu_output, data_table, dependency_viz, dependency_tree_viz],
-                fn=process_text,
-                cache_examples=False
-            )
-        
-        gr.Markdown("""
-        ### Model Comparison
-        
-        - **Lesbian-only**: Pure dialect model trained exclusively on authentic Lesbian Greek data
-        - **Lesbian-synthetic-data**: Enhanced model with synthetic data augmentation for better coverage
-        
-        ### Visualization Legend
-        
-        The **Interactive Dependency Tree** shows:
-        - **Words** in bold at the bottom with their position numbers
-        - **POS tags** in gray below each word
-        - **Dependency arcs** as curved lines with arrows pointing to heads
-        - **Dependency relations** labeled on the arcs with white backgrounds
-        - **Color coding** for different dependency types:
-          - Black: ROOT relations
-          - Blue: Subject relations (nsubj)
-          - Green: Object relations (obj)
-          - Orange: Determiners (det)
-          - Purple: Adjective modifiers (amod)
-          - And more...
-        
-        ### About CoNLL-U Format
-        
-        The CoNLL-U format includes these fields for each token:
-        - **ID**: Token index
-        - **FORM**: Word form or punctuation symbol  
-        - **LEMMA**: Lemma or stem of word form
-        - **UPOS**: Universal part-of-speech tag
-        - **XPOS**: Language-specific part-of-speech tag
-        - **FEATS**: Morphological features
-        - **HEAD**: Head of the current word
-        - **DEPREL**: Dependency relation to the head
-        - **DEPS**: Enhanced dependency graph
-        - **MISC**: Miscellaneous annotations
-        
-        ### Resources
-        - [Original Lesbian Greek Models](https://huggingface.co/sbompolas/Lesbian-Greek-Morphosyntactic-Model)
-        - [Enhanced NGUD-Lesbian Models](https://huggingface.co/sbompolas/NGUD-Lesbian-Morphosyntactic-Model)
-        - [UD_Greek-Lesbian Treebank](https://github.com/UniversalDependencies/UD_Greek-Lesbian)
-        - [Stanza Documentation](https://stanfordnlp.github.io/stanza/)
-        """)
-    
-    return appimport gradio as gr
+import gradio as gr
 import stanza
 import pandas as pd
 import sys
@@ -1090,5 +884,4 @@ if __name__ == "__main__":
     print("Creating Gradio app...")
     app = create_gradio_app()
     print("Launching app...")
-    app.launch()
-    
+    app.launch()