Upload spine_agent.py with huggingface_hub

spine_agent.py

@@ -0,0 +1,94 @@
+# D:\AI-Hub\ComicPipeline\spine_agent.py
+# CLI entry point — imports SpineAgent from the spine/ package.
+
+import json
+import argparse
+from spine import SpineAgent
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Spine Agent - Multi-tool AI orchestrator")
+    parser.add_argument("prompt", help="Command prompt")
+    parser.add_argument("--server", choices=["rig1", "spark", "rig1_network"], default="rig1")
+    args = parser.parse_args()
+
+    agent = SpineAgent()
+    result = agent.run(args.prompt, args.server)
+
+    if result["status"] == "success":
+        op = result.get("operation", "")
+
+        if op == "generate_image":
+            print(f"Image generated: {result['filepath']}")
+            print(f"Model: {result['model']}, Seed: {result['seed']}")
+
+        elif op == "generate_characters":
+            print(f"Characters generated: {result['success_count']}/{result['total_characters']}")
+            print(f"Output: {result['characters_dir']}")
+            for r in result['results']:
+                if r['status'] == 'success':
+                    print(f"  {r['character_id']}: {r['filepath']}")
+
+        elif op == "generate_scene":
+            print(f"Scene generated: {result['filepath']}")
+            print(f"Story: {result['story']}, Page: {result['page_number']}")
+            print(f"Characters: {result['characters']}, Seed: {result['seed']}")
+
+        elif op == "create_story":
+            print(f"Story created: {result['title']}")
+            print(f"Format: {result['format']}, ID: {result['story_id']}")
+            print(f"Characters: {result['characters']}, Pages: {result['pages']}")
+            print(f"Saved: {result['filepath']}")
+            print(f"Duration: {result['duration_seconds']}s")
+
+        elif op == "render_comic":
+            print(f"Comic rendered: {result['story']}")
+            print(f"Pages: {result['pages']}")
+            print(f"Output: {result['filepath']}")
+
+        elif op == "render_coloring_book":
+            print(f"Coloring book rendered: {result['story']}")
+            print(f"Pages: {result['pages']}")
+            print(f"Output: {result['filepath']}")
+
+        elif op == "render_children_book":
+            print(f"Children's book rendered: {result['story']}")
+            print(f"Output: {result['filepath']}")
+
+        elif op == "render_story":
+            print(f"Story rendered: {result['story_id']}")
+            print(f"Duration: {result['duration_seconds']}s")
+
+        elif op == "retry_failures":
+            print(f"Retry complete: {result['recovered']}/{result['retried']} recovered")
+            if result['still_failed'] > 0:
+                print(f"Still failing: {result['still_failed']}")
+
+        elif op == "batch_generate":
+            print(f"Batch generated: {result['success_count']}/{result['count']} images")
+            print(f"Output: {result['output_dir']}")
+            if result['seeds']:
+                print(f"Seeds: {result['seeds']}")
+
+        elif op == "memory_stats":
+            print(f"Memory stats: {json.dumps(result['data'], indent=2)}")
+
+        elif op == "recall":
+            print(f"Recall results: {json.dumps(result['data'], indent=2)}")
+
+        elif op == "rag_query":
+            print(f"Answer: {result['answer']}")
+
+        elif op == "read_json":
+            print(f"Read: {result['filepath']}")
+            print(json.dumps(result['data'], indent=2)[:500])
+
+        else:
+            print(json.dumps(result, indent=2))
+
+    else:
+        print(f"Error: {result.get('error', 'unknown')}")
+
+
+if __name__ == "__main__":
+    main()