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README.md

@@ -5,7 +5,7 @@ app_file: app.py
 requirements: requirements.txt
 python_version: 3.12
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.2
 ---
 
 # AnkiGen - Anki Card Generator
@@ -14,9 +14,8 @@ AnkiGen generates Anki flashcards using OpenAI's GPT models. Available as both a
 
 ## Features
 
-- Generate Anki cards for various subjects or from provided text/URLs
+- Generate Anki cards for various subjects with automatic topic decomposition
 - AI-powered auto-configuration (intelligently determines topics, card counts, and models)
-- Create structured learning paths for complex topics
 - Export to CSV or `.apkg` format with default styling
 - Customizable number of topics and cards per topic
 - Built-in quality review system
@@ -92,11 +91,7 @@ uv run python -m ankigen_core.cli -p "Python Lists" --no-confirm
 
 2. Open your browser to `http://127.0.0.1:7860`
 
-3. Select a generation mode:
-   - Single Subject: Generate cards for a specific topic
-   - Learning Path: Create a structured learning curriculum
-   - From Text: Generate cards from pasted text
-   - From Web: Generate cards from a URL
+3. Enter a subject and optionally click "Auto-fill" to configure settings
 
 4. Configure parameters and click "Generate Cards"
 
@@ -110,7 +105,6 @@ uv run python -m ankigen_core.cli -p "Python Lists" --no-confirm
   - `agents/`: Agent system implementation
   - `card_generator.py`: Card generation orchestration
   - `auto_config.py`: AI-powered auto-configuration
-  - `learning_path.py`: Learning path analysis
   - `exporters.py`: CSV and `.apkg` export functionality
   - `models.py`: Data structures
 - `tests/`: Unit and integration tests

app.py

@@ -141,10 +141,19 @@ def get_recent_logs(logger_name="ankigen") -> str:
         return f"Error reading logs: {e!s}"
 
 
-def create_ankigen_interface():
+def create_ankigen_interface(theme=None, css=None, js=None):
     logger.info("Creating AnkiGen Gradio interface...")
-    # Note: theme, css, and js moved to .launch() for Gradio 6 compatibility
-    with gr.Blocks(title="AnkiGen") as ankigen:
+    # Theme/css/js passed in for Gradio 4.x compatibility (goes in Blocks())
+    # For Gradio 6.x, these are passed to launch() instead
+    blocks_kwargs = {"title": "AnkiGen"}
+    if theme is not None:
+        blocks_kwargs["theme"] = theme
+    if css is not None:
+        blocks_kwargs["css"] = css
+    if js is not None:
+        blocks_kwargs["js"] = js
+
+    with gr.Blocks(**blocks_kwargs) as ankigen:
         with gr.Column(elem_classes="contain"):
             gr.Markdown("# 📚 AnkiGen - Anki Card Generator")
             gr.Markdown("#### Generate Anki flashcards using AI.")
@@ -584,25 +593,41 @@ def create_ankigen_interface():
 # --- Main Execution --- (Runs if script is executed directly)
 if __name__ == "__main__":
     import os
+    from packaging import version
 
     try:
-        ankigen_interface = create_ankigen_interface()
+        # Detect Gradio version for API compatibility
+        gradio_version = version.parse(gr.__version__)
+        is_gradio_6 = gradio_version >= version.parse("5.0.0")
+
+        logger.info(
+            f"Detected Gradio version: {gr.__version__} (v6 API: {is_gradio_6})"
+        )
+
+        if is_gradio_6:
+            # Gradio 6.x: theme/css/js go in launch()
+            ankigen_interface = create_ankigen_interface()
+            launch_kwargs = {
+                "theme": custom_theme,
+                "css": custom_css,
+                "js": js_storage,
+            }
+        else:
+            # Gradio 4.x: theme/css/js go in Blocks()
+            ankigen_interface = create_ankigen_interface(
+                theme=custom_theme,
+                css=custom_css,
+                js=js_storage,
+            )
+            launch_kwargs = {}
+
         logger.info("Launching AnkiGen Gradio interface...")
 
-        # Configure for HuggingFace Spaces vs local development
-        # Note: theme, css, js moved to launch() for Gradio 6 compatibility
-        launch_kwargs = {
-            "theme": custom_theme,
-            "css": custom_css,
-            "js": js_storage,
-        }
         if os.environ.get("SPACE_ID"):  # On HuggingFace Spaces
-            # Let HuggingFace handle all the configuration
             ankigen_interface.queue(default_concurrency_limit=2, max_size=10).launch(
                 **launch_kwargs
             )
         else:  # Local development
-            # Use auto port finding for local dev
             ankigen_interface.queue(default_concurrency_limit=2, max_size=10).launch(
                 server_name="127.0.0.1", share=False, **launch_kwargs
             )