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appHF.py

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+import gradio as gr
+import pickle
+import numpy as np
+
+# Load your model (update the path to your downloaded model)
+model_path = "model.pkl"  # Change this to the path of your trained model
+with open(model_path, 'rb') as f:
+    model = pickle.load(f)
+
+# Function to make predictions
+def predict_calories(age, height, weight, gender, job_type, goal):
+    # You can customize this function based on how you trained the model
+    # Convert input features into a numpy array or data structure required by the model
+    # Here's a basic example assuming your model expects numeric features
+    
+    gender_map = {"muž": 0, "žena": 1}  # Example gender encoding
+    job_type_map = {
+        'Študent': 0,
+        'Sedavé': 1,
+        'Málo pohybu (do 2500 krokov)': 2,
+        'Stredne pohybu (do 5000 krokov)': 3,
+        'Veľa pohybu (do 10000 krokov)': 4,
+    }
+
+    # Prepare the input data in the format your model expects
+    input_data = np.array([[age, height, weight, gender_map.get(gender, 0), job_type_map.get(job_type, 0), goal]])
+
+    # Predict using the loaded model
+    prediction = model.predict(input_data)
+    return f"Recommended Daily Calories: {prediction[0]:.2f} kcal"
+
+# Define Gradio interface
+interface = gr.Interface(
+    fn=predict_calories,
+    inputs=[
+        gr.Slider(minimum=18, maximum=100, label="Age", default=25),
+        gr.Slider(minimum=120, maximum=250, label="Height (cm)", default=170),
+        gr.Slider(minimum=30, maximum=200, label="Weight (kg)", default=70),
+        gr.Radio(["muž", "žena"], label="Gender", default="muž"),
+        gr.Dropdown(
+            ["Študent", "Sedavé", "Málo pohybu (do 2500 krokov)", "Stredne pohybu (do 5000 krokov)", "Veľa pohybu (do 10000 krokov)"],
+            label="Job Type",
+            default="Sedavé"
+        ),
+        gr.Radio(["Znížiť váhu", "Udržať váhu", "Pribrať na váhe"], label="Goal", default="Udržať váhu"),
+    ],
+    outputs="text",
+    live=True,
+)
+
+# Launch the interface
+interface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e9e4ee8024034c9aac63f4da171baf6b0ae99792cde3100db2c90e19e0c2c36d
+size 2426930