Chnaged requirement text

Dockerfile

@@ -1,46 +1,32 @@
-# ───────────────────────────────────────────────
-# MindPalace AI – Hugging Face Spaces (Docker)
-# ───────────────────────────────────────────────
-# • CPU-only base image with Python 3.11
-# • Installs system libs (tesseract, ffmpeg) needed by OCR / audio
-# • Installs Python dependencies from requirements.txt
-# • Runs Gunicorn with gevent workers on HF-required port 7860
-# • Space URL will be: https://<handle>-MindPalaceAI.hf.space
-# ───────────────────────────────────────────────
-
 FROM python:3.11-slim
 
-# 1️⃣  Install system packages (add more as you need)
+# install system deps…
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-        tesseract-ocr \
-        libgl1 \
-        ffmpeg && \
+      tesseract-ocr \
+      libgl1 \
+      ffmpeg && \
     rm -rf /var/lib/apt/lists/*
 
-# 2️⃣  Set work directory
 WORKDIR /app
 
-# 2️⃣.b Ensure /data cache directory exists and is writable (HF Spaces persistent volume)
-RUN mkdir -p /data/.cache/huggingface && chmod -R 777 /data/.cache
+# create both cache dirs and make them world-writable
+RUN mkdir -p /data/.cache/huggingface && \
+    mkdir -p /data/.EasyOCR && \
+    chmod -R 777 /data/.cache /data/.EasyOCR
 
-# 3️⃣  Copy & install Python deps first (layer cache)
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# 4️⃣  Copy the rest of the application code
 COPY . .
 
-# 5️⃣  Hugging Face automatically sets $PORT=7860
-ENV PORT=7860
-
-# put near the other ENV lines
-ENV XDG_CACHE_HOME=/data/.cache \
+# tell HF and EasyOCR to use those
+ENV PORT=7860 \
+    XDG_CACHE_HOME=/data/.cache \
     TRANSFORMERS_CACHE=/data/.cache/huggingface \
     HF_HOME=/data/.cache/huggingface \
     EASYOCR_MODEL_STORAGE=/data/.EasyOCR
 
 EXPOSE ${PORT}
 
-# 6️⃣  Start the server
-CMD gunicorn wsgi:app -k gevent --timeout 300 --bind 0.0.0.0:$PORT
+CMD gunicorn wsgi:app -k gevent --timeout 300 --bind 0.0.0.0:$PORT