fix: switch to native HF JupyterLab SDK instead of Docker

- Use sdk: jupyterlab for automatic iframe configuration
- Remove custom Dockerfile (not needed for basic Jupyter notebooks)
- HF handles base_url and all routing automatically
- Fixes blank screen issue

Dockerfile

@@ -1,33 +0,0 @@
-# Official Jupyter PyTorch notebook with CUDA 12 (HF Spaces recommended)
-FROM quay.io/jupyter/pytorch-notebook:cuda12-latest
-
-# Switch to root for system packages
-USER root
-RUN apt-get update && apt-get install -y git curl wget && \
-    rm -rf /var/lib/apt/lists/*
-
-# Switch back to jovyan user (uid 1000)
-USER jovyan
-WORKDIR /home/jovyan
-
-# Install Python dependencies
-COPY --chown=jovyan:users requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy notebooks and source code
-COPY --chown=jovyan:users *.ipynb ./
-COPY --chown=jovyan:users src/ ./src/
-
-# Expose JupyterLab port
-EXPOSE 7860
-
-# Start JupyterLab with proper HF Spaces configuration
-CMD ["jupyter", "lab", \
-     "--ip=0.0.0.0", \
-     "--port=7860", \
-     "--no-browser", \
-     "--ServerApp.token=''", \
-     "--ServerApp.password=''", \
-     "--ServerApp.allow_origin='*'", \
-     "--ServerApp.allow_remote_access=True", \
-     "--ServerApp.disable_check_xsrf=True"]

README.md

@@ -3,9 +3,12 @@ title: FBMC Chronos-2 Zero-Shot Forecasting
 emoji: ⚡
 colorFrom: blue
 colorTo: green
-sdk: docker
+sdk: jupyterlab
+sdk_version: "4.0.0"
+app_file: inference_smoke_test.ipynb
 pinned: false
 license: mit
+hardware: a10g-small
 ---
 
 # FBMC Flow-Based Market Coupling Forecasting