Remove Docker files; fix CPU-only torch for Gradio SDK space

Drop Dockerfile, docker-compose.yml, .dockerignore.
Add --extra-index-url for PyTorch CPU wheel so HF installs the
lightweight CPU build instead of the 2.5 GB CUDA package.

.dockerignore

@@ -1,12 +0,0 @@
-.git
-.venv
-.env
-__pycache__
-*.pyc
-*.db
-.claude
-CLAUDE.md
-AGENTS.md
-my-notes
-docs
-*.ipynb

Dockerfile

@@ -1,32 +0,0 @@
-FROM python:3.12-slim
-
-WORKDIR /app
-
-# Install system dependencies required by torch and transformers
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    build-essential \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-# Install CPU-only torch first to keep image lean, then remaining deps
-COPY requirements.txt .
-RUN pip install --no-cache-dir torch>=2.2.0 --index-url https://download.pytorch.org/whl/cpu \
-    && pip install --no-cache-dir -r requirements.txt
-
-# Copy application code
-COPY app.py config.py ./
-COPY core/ core/
-COPY db/ db/
-COPY models/ models/
-COPY ui/ ui/
-
-# HuggingFace model cache is stored under /data so it can be mounted as a
-# volume and downloaded weights survive container restarts.
-ENV HF_HOME=/data/hf_cache \
-    PORT=7860
-
-VOLUME /data
-
-EXPOSE 7860
-
-CMD ["python", "app.py"]

docker-compose.yml

@@ -1,19 +0,0 @@
-networks:
-  hf-build-small:
-    driver: bridge
-
-volumes:
-  tinypress-data:
-
-services:
-  tinypress:
-    build: .
-    ports:
-      - "7860:7860"
-    volumes:
-      - tinypress-data:/data
-    env_file:
-      - .env
-    networks:
-      - hf-build-small
-    restart: unless-stopped

requirements.txt

@@ -1,3 +1,4 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
 gradio==6.18.0
 transformers>=4.40.0
 sentence-transformers>=3.0.0