Update dockerfile

dockerfile

@@ -1,13 +1,26 @@
-# Use a Python 3.10 image built for deep learning environments
+# Use a Python base image suitable for machine learning
 FROM python:3.10-slim
 
-# Set the working directory inside the container
+# Install system dependencies needed for libraries like TensorFlow
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    libsm6 \
+    libxext6 \
+    libxrender1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set the working directory
 WORKDIR /app
 
-# Copy the requirements file and install dependencies
-# The --no-cache-dir ensures a fresh install, reducing deployment errors.
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+# Define and install Python dependencies
+# We use an explicit list here instead of a separate requirements.txt for robustness
+RUN pip install --no-cache-dir \
+    tensorflow==2.15.0 \
+    scikit-learn \
+    numpy \
+    pandas \
+    joblib \
+    gradio
 
 # Copy all the application files (app.py, model, scaler, etc.)
 COPY . .