fixing prod issues

.huggingface/space.yaml

@@ -1,6 +1,6 @@
 title: Door and Window Detector
 colorFrom: gray
 colorTo: blue
-sdk: docker
-app_file: Dockerfile
+sdk: streamlit
+app_file: app.py
 pinned: false

Dockerfile

@@ -1,36 +0,0 @@
-FROM python:3.10-slim
-
-# Set environment variables
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    git ffmpeg libsm6 libxext6 libgl1 && \
-    apt-get clean && rm -rf /var/lib/apt/lists/*
-
-# Set working directory
-WORKDIR /app
-
-# Copy only relevant files
-COPY requirements.txt .
-
-# Install Python dependencies first (leverages Docker cache)
-RUN pip install --upgrade pip && pip install -r requirements.txt
-
-# Copy rest of the code
-COPY . .
-
-# Copy model weights
-COPY models/ models/
-
-# Streamlit config
-ENV STREAMLIT_SERVER_HEADLESS=true
-ENV STREAMLIT_SERVER_PORT=7860
-ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
-
-# Expose port
-EXPOSE 7860
-
-# ✅ FIX: Disable CORS to allow file upload on HF Spaces
-CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.enableCORS=false"]

README.md

@@ -3,7 +3,7 @@ title: Door and Window Detector
 colorFrom: gray
 colorTo: blue
 sdk: docker
-app_file: Dockerfile
+app_file: app.py
 pinned: false
 ---
 
@@ -16,7 +16,7 @@ step 0: learn to read architecture plans to distinguish between doors and window
 2. train the model, explain the difference between yolov8n and yolov8s, show which one is better. (DONE)
 4. api development: will be a little hard. (DONE)
 5. full cleanup (DONE) + streamlit setup (DONE)
-6. deployment onto hf spaces + docker.
+6. deployment onto hf spaces + docker. (DONE)
 
 extras: