title	Predict Z Factor
emoji	⚡
colorFrom	blue
colorTo	red
sdk	streamlit
sdk_version	1.44.1
app_file	src/app.py
pinned	false

🧠 Predict Z-Factor App

This Streamlit web application uses a TensorFlow-trained neural network to predict the gas compressibility factor (Z-factor) based on:

• Pressure (psia)
• Temperature (°R)
• Specific Gravity

It also uses a StandardScaler from Scikit-learn for data normalization.

🛠 How to Use

1. Input pressure, temperature, and specific gravity.
2. Click the Predict Z-Factor button.
3. The predicted Z-factor will be displayed below.

📁 Files

• src/app.py: Main Streamlit application
• model/z_model_2025_04_15_v1.keras: Trained Keras model
• model/scaler_z_2025_04_15.pkl: Scaler used for data preprocessing
• data/...: Values are determining in this file
• requirements.txt: Python dependencies
• .huggingface.yml: Hugging Face deployment configuration

🚀 Deployment

This app is ready to be deployed on Hugging Face Spaces.

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