create app.py

app.py

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+"""
+GenAI for Easy Read: Open-Source Multimodal Solution
+A Gradio-based prototype for converting documents into accessible Easy Read formats.
+"""
+import gradio as gr
+import os
+from typing import List, Tuple, Optional
+import re
+
+# ============================================================================
+# DUMMY/MOCK FUNCTIONS FOR BACKEND PROCESSING
+# TODO: Replace these with actual API calls to OpenAI, GlobalSymbols, etc.
+# ============================================================================
+
+def split_into_sentences(text: str) -> List[str]:
+    """
+    Splits text into individual sentences.
+    TODO: Enhance with better sentence boundary detection (e.g., using spaCy)
+    """
+    if not text or not text.strip():
+        return []
+    # Simple sentence splitting (can be improved with NLP libraries like spaCy)
+    sentences = re.split(r'(?<=[.!?])\s+', text.strip())
+    return [s.strip() for s in sentences if s.strip()]
+
+def convert_to_easy_read(
+    pdf_file: Optional[str],
+    text_input: Optional[str],
+    context: str,
+    unalterable_terms: str
+) -> Tuple[str, List[str], List[str]]:
+    """
+    Simulates the conversion of complex text to simplified Easy Read format.
+    TODO: Replace with actual LLM API call (e.g., OpenAI GPT-4, Anthropic Claude)
+    - Process PDF if provided, or use text_input
+    - Apply simplification rules
+    - Respect context/custom instructions
+    - Preserve unalterable terms
+    """
+    # Use text_input if provided, otherwise dummy text
+    input_text = text_input if text_input else (
+        "This is sentence one. "
+        "This is sentence two. "
+        "This is sentence three. "
+        "Each sentence can be edited separately."
+    )
+    
+    # Split into sentences
+    sentences = split_into_sentences(input_text)
+    
+    # Dummy simplified text (sentence-by-sentence)
+    dummy_simplified = "\n".join(sentences)
+    
+    # Dummy keyword list for symbol matching
+    dummy_keywords = ["person", "help", "document", "read"]
+    
+    return dummy_simplified, dummy_keywords, sentences
+
+def update_sentence(sentence_index: int, new_text: str, all_sentences: List[str]) -> str:
+    """
+    Updates a specific sentence and returns the combined text.
+    """
+    if 0 <= sentence_index < len(all_sentences):
+        all_sentences[sentence_index] = new_text
+    return "\n".join(all_sentences)
+
+def fetch_symbols_from_libraries(
+    keywords: List[str], selected_libraries: List[str]
+) -> List[str]:
+    """
+    Fetches symbols from selected symbol libraries based on keywords.
+    TODO: Replace with actual API calls to:
+    - GlobalSymbols API
+    - ARASAAC API
+    - AAC Image Library API
+    - PiCom API
+    """
+    # Dummy: Return placeholder image paths
+    # In production, these would be URLs or file paths to actual symbols
+    dummy_symbols = [
+        "https://via.placeholder.com/200x200/4A90E2/FFFFFF?text=Symbol1",
+        "https://via.placeholder.com/200x200/50C878/FFFFFF?text=Symbol2",
+        "https://via.placeholder.com/200x200/E94B3C/FFFFFF?text=Symbol3",
+        "https://via.placeholder.com/200x200/F5A623/FFFFFF?text=Symbol4",
+    ]
+    return dummy_symbols
+
+def generate_ai_image(prompt: str) -> Optional[str]:
+    """
+    Generates an image using AI based on the provided prompt.
+    TODO: Replace with actual AI image generation API call:
+    - OpenAI DALL-E
+    - Stability AI Stable Diffusion
+    - Midjourney API
+    - Other image generation services
+    """
+    # Dummy: Return placeholder image
+    return "https://via.placeholder.com/400x400/9B59B6/FFFFFF?text=AI+Generated"
+
+def export_to_pdf(text: str, images: List[str]) -> str:
+    """
+    Exports the Easy Read document to PDF format.
+    TODO: Implement PDF generation using libraries like:
+    - reportlab
+    - fpdf
+    - weasyprint
+    """
+    return "PDF export functionality - TODO: Implement"
+
+def export_to_word(text: str, images: List[str]) -> str:
+    """
+    Exports the Easy Read document to Word format.
+    TODO: Implement Word document generation using:
+    - python-docx
+    """
+    return "Word export functionality - TODO: Implement"
+
+def generate_audio(text: str) -> str:
+    """
+    Generates audio narration of the Easy Read text.
+    TODO: Implement text-to-speech using:
+    - OpenAI TTS API
+    - Google Cloud Text-to-Speech
+    - Amazon Polly
+    - Azure Cognitive Services
+    """
+    return "Audio generation functionality - TODO: Implement"
+
+# ============================================================================
+# GRADIO INTERFACE COMPONENTS
+# ============================================================================
+
+def create_convert_handler(
+    pdf_file, text_input, context, unalterable_terms, selected_libraries
+):
+    """
+    Main handler for the "Convert to Easy Read" button.
+    Processes input and returns simplified text and symbol suggestions.
+    """
+    # Step 1: Convert text to Easy Read format
+    simplified_text, keywords, sentences = convert_to_easy_read(
+        pdf_file, text_input, context, unalterable_terms
+    )
+    
+    # Step 2: Fetch symbols from selected libraries
+    symbols = fetch_symbols_from_libraries(keywords, selected_libraries)
+    
+    # Step 3: Create sentence components for display
+    sentence_components = []
+    for i, sentence in enumerate(sentences):
+        sentence_components.append((sentence, i))
+    
+    return simplified_text, symbols, sentences
+
+def create_ai_image_handler(prompt: str):
+    """Handler for AI image generation tab."""
+    if not prompt.strip():
+        return None
+    return generate_ai_image(prompt)
+
+# ============================================================================
+# MAIN GRADIO INTERFACE
+# ============================================================================
+
+def create_interface():
+    """Creates and configures the main Gradio interface."""
+    
+    with gr.Blocks(theme=gr.themes.Soft()) as app:
+        # Store sentences in state
+        sentences_state = gr.State([])
+        
+        # ====================================================================
+        # HEADER SECTION
+        # ====================================================================
+        gr.Markdown(
+            """
+            # GenAI for Easy Read: Open-Source Multimodal Solution
+            Convert documents into accessible Easy Read formats with simplified text and supported symbols.
+            """,
+            elem_classes=["header"]
+        )
+        
+        # ====================================================================
+        # STEP 1: INPUT SECTION
+        # ====================================================================
+        gr.Markdown("## Step 1: Input Document or Text")
+        
+        with gr.Row():
+            # Left Column: File Upload
+            with gr.Column():
+                pdf_upload = gr.File(
+                    label="Upload Document",
+                    file_types=[".pdf"],
+                    type="filepath"
+                )
+            
+            # Right Column: Text Input
+            with gr.Column():
+                text_input = gr.Textbox(
+                    label="Or Paste Text Here",
+                    lines=10,
+                    placeholder="Enter your text here..."
+                )
+        
+        # Advanced Settings Accordion
+        with gr.Accordion("Advanced Settings", open=False):
+            context_input = gr.Textbox(
+                label="Context/Custom Instructions",
+                placeholder="e.g., 'never use term X', 'target audience: children'",
+                lines=3
+            )
+            unalterable_terms_input = gr.Textbox(
+                label="Unalterable Terms",
+                placeholder="Enter terms that must not be changed (comma-separated)",
+                lines=2
+            )
+        
+        # ====================================================================
+        # STEP 2: SYMBOL CONFIGURATION
+        # ====================================================================
+        gr.Markdown("## Step 2: Select Symbol Libraries")
+        
+        symbol_libraries = gr.CheckboxGroup(
+            choices=[
+                "AAC Image Library",
+                "GlobalSymbols",
+                "ARASAAC",
+                "PiCom",
+                "AI Realistic Symbols"
+            ],
+            label="Available Symbol Libraries",
+            value=["ARASAAC", "GlobalSymbols"]  # Default selections
+        )
+        
+        # ====================================================================
+        # STEP 3: EASY READ EDITOR
+        # ====================================================================
+        gr.Markdown("## Step 3: Easy Read Editor")
+        
+        # Convert Button
+        convert_btn = gr.Button(
+            "Convert to Easy Read",
+            variant="primary",
+            size="lg"
+        )
+        
+        # Main Editor Layout: Text Editing + Image Selection
+        with gr.Row():
+            # Left Side: Full Text Editor
+            with gr.Column(scale=1):
+                simplified_text = gr.Textbox(
+                    label="Full Simplified Text (Editable)",
+                    lines=15,
+                    placeholder="Simplified text will appear here after conversion..."
+                )
+            
+            # Right Side: Multi-Tab Image Interface
+            with gr.Column(scale=1):
+                with gr.Tabs() as image_tabs:
+                    # Tab 1: Symbol Library / Alternatives
+                    with gr.Tab("Symbol Library / Alternatives"):
+                        symbol_gallery = gr.Gallery(
+                            label="Available Symbols",
+                            show_label=True,
+                            elem_id="symbol_gallery",
+                            columns=3,
+                            rows=2,
+                            height="auto"
+                        )
+                    
+                    # Tab 2: Generate with AI
+                    with gr.Tab("Generate with AI"):
+                        ai_prompt = gr.Textbox(
+                            label="Image Prompt",
+                            placeholder="Describe the image you want to generate...",
+                            lines=3
+                        )
+                        generate_ai_btn = gr.Button("Generate", variant="secondary")
+                        ai_generated_image = gr.Image(
+                            label="Generated Image",
+                            type="filepath"
+                        )
+                    
+                    # Tab 3: Upload / Personal
+                    with gr.Tab("Upload / Personal"):
+                        personal_image_upload = gr.Image(
+                            label="Upload Your Image",
+                            sources=["upload"],
+                            type="filepath"
+                        )
+                    
+                    # Tab 4: Favorites
+                    with gr.Tab("Favorites"):
+                        favorites_gallery = gr.Gallery(
+                            label="Saved Favorites",
+                            show_label=True,
+                            elem_id="favorites_gallery",
+                            columns=3,
+                            rows=2,
+                            height="auto"
+                        )
+        
+        # ====================================================================
+        # INDIVIDUAL SENTENCE EDITOR
+        # ====================================================================
+        gr.Markdown("## Individual Sentence Editor")
+        gr.Markdown("*Edit each sentence separately below*")
+        
+        # Container for individual sentences
+        sentence_editor_container = gr.Column()
+        
+        with sentence_editor_container:
+            # Dynamic sentence textboxes will be created here
+            sentence_textboxes = []
+            for i in range(10):  # Pre-create 10 textboxes (will show/hide as needed)
+                with gr.Row(visible=False) as sentence_row:
+                    sentence_num = gr.Markdown(f"**Sentence {i+1}:**")
+                    sentence_box = gr.Textbox(
+                        label="",
+                        lines=2,
+                        show_label=False,
+                        scale=4
+                    )
+                sentence_textboxes.append((sentence_row, sentence_box, sentence_num))
+        
+        # ====================================================================
+        # FOOTER / EXPORT SECTION
+        # ====================================================================
+        gr.Markdown("## Export Options")
+        
+        with gr.Row():
+            export_pdf_btn = gr.Button("Export to PDF", variant="secondary")
+            export_word_btn = gr.Button("Export to Word", variant="secondary")
+            generate_audio_btn = gr.Button("Generate Audio", variant="secondary")
+        
+        # ====================================================================
+        # EVENT HANDLERS
+        # ====================================================================
+        
+        def update_sentence_display(sentences):
+            """Updates the visibility and content of sentence textboxes"""
+            updates = []
+            for i, (row, box, num) in enumerate(sentence_textboxes):
+                if i < len(sentences):
+                    # Show this sentence
+                    updates.extend([
+                        gr.update(visible=True),  # row
+                        gr.update(value=sentences[i]),  # textbox
+                        gr.update(value=f"**Sentence {i+1}:**")  # label
+                    ])
+                else:
+                    # Hide this sentence
+                    updates.extend([
+                        gr.update(visible=False),  # row
+                        gr.update(value=""),  # textbox
+                        gr.update(value="")  # label
+                    ])
+            return updates
+        
+        def merge_sentences_to_full_text(*sentence_values):
+            """Merges individual sentence values back into full text"""
+            # Filter out empty sentences
+            sentences = [s for s in sentence_values if s and s.strip()]
+            return "\n".join(sentences)
+        
+        # Convert button handler
+        def convert_handler(*args):
+            simplified_text, symbols, sentences = create_convert_handler(*args)
+            
+            # Update sentence display
+            sentence_updates = update_sentence_display(sentences)
+            
+            return [simplified_text, symbols, sentences] + sentence_updates
+        
+        # Collect all outputs for convert button
+        convert_outputs = [simplified_text, symbol_gallery, sentences_state]
+        for row, box, num in sentence_textboxes:
+            convert_outputs.extend([row, box, num])
+        
+        convert_btn.click(
+            fn=convert_handler,
+            inputs=[
+                pdf_upload,
+                text_input,
+                context_input,
+                unalterable_terms_input,
+                symbol_libraries
+            ],
+            outputs=convert_outputs
+        )
+        
+        # Update full text when any sentence is edited
+        for row, box, num in sentence_textboxes:
+            box.change(
+                fn=merge_sentences_to_full_text,
+                inputs=[b for r, b, n in sentence_textboxes],
+                outputs=[simplified_text]
+            )
+        
+        # AI image generation handler
+        generate_ai_btn.click(
+            fn=create_ai_image_handler,
+            inputs=[ai_prompt],
+            outputs=[ai_generated_image]
+        )
+        
+        # Export handlers (placeholder)
+        export_pdf_btn.click(
+            fn=lambda t, imgs: gr.Info("PDF export - TODO: Implement backend"),
+            inputs=[simplified_text, symbol_gallery],
+            outputs=[]
+        )
+        
+        export_word_btn.click(
+            fn=lambda t, imgs: gr.Info("Word export - TODO: Implement backend"),
+            inputs=[simplified_text, symbol_gallery],
+            outputs=[]
+        )
+        
+        generate_audio_btn.click(
+            fn=lambda t: gr.Info("Audio generation - TODO: Implement backend"),
+            inputs=[simplified_text],
+            outputs=[]
+        )
+    
+    return app
+
+def main():
+    """Main entry point for the application."""
+    app = create_interface()
+    app.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False
+    )
+
+if __name__ == "__main__":
+    main()