feat: initial project structure

CHANGELOG.md

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+# Changelog
+
+## [0.1.0] - 2023-09-25
+### Added
+- Initial project structure
+- Gradio app
+
+### Changed
+
+### Fixed

LICENSE

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+MIT License
+
+Copyright (c) 2023 Mouafak Dakhlaoui
+
+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 above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+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. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

app.py

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+import gradio as gr
+from joblib import load
+import numpy as np
+from sklearn.pipeline import Pipeline
+import pandas as pd
+
+spam_classifier: Pipeline = load("./models/spam_classifier.joblib")
+
+def greet(email_body: str) -> float:
+    model_input = pd.DataFrame([email_body], columns=["Message"])
+    prediction = spam_classifier.predict_proba(model_input)[0][1]
+    return prediction
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="number")
+    
+demo.launch()

models/spam_classifier.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6a5c22bf5e15e769b13aa3a2b4d1508ed33bbf8f7b41a0c7106fdfcc7d6eafae
+size 526974

requirements.txt

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+scikit-learn==1.3.1
+gradio==3.44.4