Create Dockerfile

Dockerfile

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+# ===============================
+# Base image: includes Python 3.9, PyTorch (CPU), and Transformers
+# ===============================
+FROM huggingface/transformers-pytorch-cpu:latest
+
+# Set working directory
+WORKDIR /app
+
+# ===============================
+# Pre-download and cache model weights
+# ===============================
+RUN python -c "from transformers import AutoTokenizer, AutoModelForSequenceClassification; \
+model='fakespot-ai/roberta-base-ai-text-detection-v1'; \
+AutoTokenizer.from_pretrained(model, cache_dir='/app/model'); \
+AutoModelForSequenceClassification.from_pretrained(model, cache_dir='/app/model')"
+
+# ===============================
+# Copy dependency list and install packages
+# ===============================
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# ===============================
+# Copy application files
+# ===============================
+COPY . .
+
+# ===============================
+# Environment configuration
+# ===============================
+ENV TRANSFORMERS_CACHE=/app/model \
+    HF_HOME=/app/model \
+    PYTHONUNBUFFERED=1
+
+# ===============================
+# Expose Gradio default port
+# ===============================
+EXPOSE 7860
+
+# ===============================
+# Start the Gradio app
+# ===============================
+CMD ["python", "app.py"]