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.gitattributes +1 -0
Dockerfile +16 -0
README.md +4 -3
app/main.py +55 -0
app/templates/form.html +16 -0
app/templates/result.html +11 -0
models/metadata.json +25 -0
models/scaler.joblib +3 -0
models/water_quality_model.skops +3 -0
requirements.txt +13 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.skops filter=lfs diff=lfs merge=lfs -text

Dockerfile ADDED Viewed

	@@ -0,0 +1,16 @@

+# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+FROM python:3.9
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+WORKDIR /app
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+COPY --chown=user . /app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md CHANGED Viewed

@@ -1,3 +1,6 @@
 ---
 title: Water Quality Classifier
 emoji: 👁
@@ -6,6 +9,4 @@ colorTo: blue
 sdk: docker
 pinned: false
 license: apache-2.0
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

+# Water-Quality-App
+Building an Water Quality Classifier Application with o1-preview Model
 ---
 title: Water Quality Classifier
 emoji: 👁
 sdk: docker
 pinned: false
 license: apache-2.0
+---

app/main.py ADDED Viewed

	@@ -0,0 +1,55 @@

+from fastapi import FastAPI, Request, Form
+from fastapi.responses import HTMLResponse
+from fastapi.templating import Jinja2Templates
+import numpy as np
+import skops.io as sio
+import joblib
+app = FastAPI()
+templates = Jinja2Templates(directory="app/templates")
+# Load the saved model and preprocessing pipeline
+model = sio.load("models/water_quality_model.skops")
+preprocessing_pipeline = joblib.load("models/scaler.joblib")
+@app.get("/", response_class=HTMLResponse)
+async def home(request: Request):
+    return templates.TemplateResponse("form.html", {"request": request})
+@app.post("/predict", response_class=HTMLResponse)
+async def predict(
+    request: Request,
+    ph: float = Form(...),
+    Hardness: float = Form(...),
+    Solids: float = Form(...),
+    Chloramines: float = Form(...),
+    Sulfate: float = Form(...),
+    Conductivity: float = Form(...),
+    Organic_carbon: float = Form(...),
+    Trihalomethanes: float = Form(...),
+    Turbidity: float = Form(...),
+):
+    input_data = np.array(
+        [
+            [
+                ph,
+                Hardness,
+                Solids,
+                Chloramines,
+                Sulfate,
+                Conductivity,
+                Organic_carbon,
+                Trihalomethanes,
+                Turbidity,
+            ]
+        ]
+    )
+    # Preprocess input data
+    input_preprocessed = preprocessing_pipeline.transform(input_data)
+    prediction = model.predict(input_preprocessed)
+    result = "Potable" if prediction[0] == 1 else "Not Potable"
+    return templates.TemplateResponse(
+        "result.html", {"request": request, "result": result}
+    )

app/templates/form.html ADDED Viewed

	@@ -0,0 +1,16 @@

+<!DOCTYPE html>
+<html>
+<head>
+    <title>Water Quality Prediction</title>
+</head>
+<body>
+    <h2>Enter Water Parameters</h2>
+    <form action="/predict" method="post">
+        {% for feature in ['ph', 'Hardness', 'Solids', 'Chloramines', 'Sulfate', 'Conductivity', 'Organic_carbon', 'Trihalomethanes', 'Turbidity'] %}
+        <label for="{{ feature }}">{{ feature.replace('_', ' ').title() }}:</label><br>
+        <input type="number" step="any" id="{{ feature }}" name="{{ feature }}" required><br><br>
+        {% endfor %}
+        <input type="submit" value="Predict">
+    </form>
+</body>
+</html>

app/templates/result.html ADDED Viewed

	@@ -0,0 +1,11 @@

+<!DOCTYPE html>
+<html>
+<head>
+    <title>Prediction Result</title>
+</head>
+<body>
+    <h2>Prediction Result</h2>
+    <p>The water is predicted to be: <strong>{{ result }}</strong></p>
+    <a href="/">Try Again</a>
+</body>
+</html>

models/metadata.json ADDED Viewed

	@@ -0,0 +1,25 @@

+{
+    "model_name": "RandomForestClassifier",
+    "parameters": {
+        "bootstrap": true,
+        "ccp_alpha": 0.0,
+        "class_weight": null,
+        "criterion": "gini",
+        "max_depth": null,
+        "max_features": "sqrt",
+        "max_leaf_nodes": null,
+        "max_samples": null,
+        "min_impurity_decrease": 0.0,
+        "min_samples_leaf": 1,
+        "min_samples_split": 2,
+        "min_weight_fraction_leaf": 0.0,
+        "monotonic_cst": null,
+        "n_estimators": 200,
+        "n_jobs": null,
+        "oob_score": false,
+        "random_state": 42,
+        "verbose": 0,
+        "warm_start": false
+    },
+    "training_score": 1.0
+}

models/scaler.joblib ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3ceea3b3744f3a76b652ba6d36adde6a30173325b37d1b1378b8088829e21a04
+size 1263

models/water_quality_model.skops ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5eb05df695568c29f9b9adc597ef617e3bda2c27ce3dfbcc36d27b14ad2475cb
+size 17861908

requirements.txt ADDED Viewed

	@@ -0,0 +1,13 @@

+fastapi
+uvicorn
+jinja2
+pydantic
+skops
+joblib
+numpy
+pandas
+scikit-learn
+matplotlib
+seaborn
+kaggle
+imbalanced-learn