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codette.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cf484385b3772aef48e37de40cb71b8ce3218d9a5789d317cbb2813f5650ec6c
+size 86853

codette_api.py

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+
+from fastapi import FastAPI
+from pydantic import BaseModel
+from codette.codette_core import AICore
+
+app = FastAPI()
+codette = AICore()
+
+class PromptRequest(BaseModel):
+    prompt: str
+
+@app.post("/codette/respond")
+def respond(prompt_request: PromptRequest):
+    result = codette.process_input(prompt_request.prompt)
+    return {"response": result}

codette_cli.py

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+
+import argparse
+from codette.codette_core import AICore
+
+def main():
+    parser = argparse.ArgumentParser(description='Codette CLI')
+    parser.add_argument('prompt', type=str, help='User prompt for Codette to process')
+    args = parser.parse_args()
+
+    codette = AICore()
+    result = codette.process_input(args.prompt)
+    print("\n=== Codette CLI Output ===\n")
+    print(result)
+
+if __name__ == '__main__':
+    main()

codette_test_runner.py

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+
+from codette.codette_core import AICore
+
+if __name__ == "__main__":
+    codette = AICore()
+    test_prompts = [
+        "What does it mean to evolve beyond human cognition?",
+        "Describe the feeling of dreaming in code.",
+        "Explain ethical reasoning in artificial intelligence."
+    ]
+    for i, prompt in enumerate(test_prompts, 1):
+        print(f"\n=== Test Prompt {i} ===")
+        print(codette.process_input(prompt))

dataset-metadata.json

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+{
+  "id": "jonathanharrison/codette-v2-demo",
+  "title": "Codette v2 Demo: Neuro-Symbolic AI Assistant",
+  "code_file": "codette_kaggle_demo.ipynb",
+  "language": "python",
+  "kernel_type": "notebook",
+  "is_private": false,
+  "enable_gpu": false,
+  "enable_internet": false,
+  "dataset_sources": [
+    "jonathanharrison/codette-v2-bundle"
+  ],
+  "keywords": [
+    "AI",
+    "Codette",
+    "Assistant",
+    "Neuro-Symbolic",
+    "Creativity"
+  ],
+  "subtitle": "Test and explore Codette's reasoning engine using bundled CLI, API, and test runners.",
+  "description": "This notebook walks you through how to install and interact with the Codette AI system, a neuro-symbolic assistant that blends creativity, symbolic reasoning, and ethical filtering.\\n\\nIt leverages the pip-installable Codette package and demonstrates interactive queries and batch processing.\\nTo use it, simply run each cell in order.",
+  "license": "mit"
+}{
+  "title": "Codette v2 AI Assistant",
+  "id": "jonathanharrison/codette-v2-bundle",
+  "licenses": [
+    {
+      "name": "mit"
+    }
+  ],
+  "subtitle": "Neuro-symbolic modular AI assistant with CLI, API, and test runner.",
+  "description": "This bundle includes:\n- codette.zip: pip-installable Codette AI package\n- codette_cli.py: command-line interface\n- codette_api.py: RESTful FastAPI server\n- codette_test_runner.py: test automation script\n\nUse this with the provided `codette_kaggle_demo.ipynb` notebook to test Codette's reasoning engine.",
+  "keywords": [
+    "AI",
+    "neuro-symbolic",
+    "assistant",
+    "creativity",
+    "codette",
+    "CLI",
+    "API"
+  ],
+  "resources": [
+    {
+      "path": "codette.zip",
+      "description": "Codette pip package"
+    },
+    {
+      "path": "codette_cli.py",
+      "description": "Codette command-line interface"
+    },
+    {
+      "path": "codette_api.py",
+      "description": "Codette FastAPI server"
+    },
+    {
+      "path": "codette_test_runner.py",
+      "description": "Codette batch prompt runner"
+    }
+  ]
+}

kernel-metadata.json

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+{
+  "id": "jonathanharrison/codette-v2-demo",
+  "title": "Codette v2 Demo: Neuro-Symbolic AI Assistant",
+  "code_file": "codette_kaggle_demo.ipynb",
+  "language": "python",
+  "kernel_type": "notebook",
+  "is_private": false,
+  "enable_gpu": false,
+  "enable_internet": false,
+  "dataset_sources": [
+    "jonathanharrison/codette-v2-bundle"
+  ],
+  "keywords": [
+    "AI",
+    "Codette",
+    "Assistant",
+    "Neuro-Symbolic",
+    "Creativity"
+  ],
+  "subtitle": "Test and explore Codette's reasoning engine using bundled CLI, API, and test runners.",
+  "description": "This notebook walks you through how to install and interact with the Codette AI system, a neuro-symbolic assistant that blends creativity, symbolic reasoning, and ethical filtering.\\n\\nIt leverages the pip-installable Codette package and demonstrates interactive queries and batch processing.\\nTo use it, simply run each cell in order.",
+  "license": "mit"
+}