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.gitignore

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+__pycache__/
+.ipynb_checkpoints/
+*.pyc

LICENSE

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+MIT License
+
+Copyright (c) 2025
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.

README.md

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----
-license: mit
----
+---
+language: 
+- en
+tags:
+- dummy
+- example
+- coursework
+license: mit
+pipeline_tag: text-classification
+---
+
+# DummyModel ✨
+
+A **dummy** model repo published for a class assignment.  
+It does not perform real ML; it echoes inputs and marks everything as `LABEL_0`.
+
+## How to use
+
+```python
+from inference import predict
+predict("hello world")
+```
+
+## Files
+- `inference.py`: toy `predict()` function
+- `model.py`: placeholder `DummyModel` class
+- `config.json`: minimal metadata
+- `requirements.txt`: tiny deps (none actually required for the echo demo)
+- `sample_input.json`: quick test payload
+
+## Disclaimer
+This is a non-functional demo used to learn the Hugging Face publishing workflow.

config.json

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+{
+  "architectures": [
+    "DummyModel"
+  ],
+  "model_type": "dummy",
+  "created": "2025-09-21T21:45:01.006328Z"
+}

inference.py

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+from model import DummyModel
+
+_model = DummyModel()
+
+def predict(text: str):
+    """Return a canned label for any input text."""
+    return _model(text)

model.py

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+class DummyModel:
+    def __init__(self, label="LABEL_0"):
+        self.label = label
+
+    def __call__(self, text: str):
+        return {"label": self.label, "score": 1.0, "input": text}

requirements.txt

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+# No external dependencies required for the dummy example

sample_input.json

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+{
+  "text": "this is a test"
+}