fix

backend/gradio_labanmovementanalysis/__init__.py

@@ -5,6 +5,14 @@ from . import notation_engine
 from . import json_generator
 from . import visualizer
 
+# Import agentic analysis
+try:
+    from . import agentic_analysis
+    from .agentic_analysis import generate_agentic_analysis, process_standard_for_agent
+    _has_agentic_analysis = True
+except ImportError:
+    _has_agentic_analysis = False
+
 # Import agent API if available
 try:
     from . import agent_api
@@ -22,6 +30,10 @@ __all__ = [
     'visualizer'
 ]
 
+# Add agentic analysis to exports if available
+if _has_agentic_analysis:
+    __all__.extend(['agentic_analysis', 'generate_agentic_analysis', 'process_standard_for_agent'])
+
 # Add agent API to exports if available
 if _has_agent_api:
     __all__.extend(['agent_api', 'LabanAgentAPI', 'quick_analyze', 'analyze_and_summarize'])

demo/app.py

@@ -126,17 +126,25 @@ def process_video_for_agent(video, model, output_format="summary"):
 
 # Import agentic analysis functions from backend
 try:
+    # Try package import first (for installed package)
     from gradio_labanmovementanalysis.agentic_analysis import (
         generate_agentic_analysis,
         process_standard_for_agent
     )
 except ImportError:
-    # Fallback if backend module is not available
-    def generate_agentic_analysis(json_data, analysis_type, filter_direction="any", filter_intensity="any", filter_min_fluidity=0.0, filter_min_expansion=0.0):
-        return {"error": "Agentic analysis backend not available"}
-    
-    def process_standard_for_agent(json_data, output_format="summary"):
-        return {"error": "Agent conversion backend not available"}
+    try:
+        # Try local backend import (for development)
+        from backend.gradio_labanmovementanalysis.agentic_analysis import (
+            generate_agentic_analysis,
+            process_standard_for_agent
+        )
+    except ImportError:
+        # Fallback if backend module is not available
+        def generate_agentic_analysis(json_data, analysis_type, filter_direction="any", filter_intensity="any", filter_min_fluidity=0.0, filter_min_expansion=0.0):
+            return {"error": "Agentic analysis backend not available"}
+        
+        def process_standard_for_agent(json_data, output_format="summary"):
+            return {"error": "Agent conversion backend not available"}
 
 # ── 4.  Build UI ─────────────────────────────────────────────────
 def create_demo() -> gr.Blocks: