updated

Dockerfile

@@ -10,23 +10,29 @@ WORKDIR /app
 # Initialize Git LFS in the container environment
 RUN git lfs install
 
-# --- IMPORTANT STEP ---
-# Clone your 'waliyan' dataset and place its contents into a local 'data' folder.
-# The "--depth 1" flag makes the download faster by only getting the latest version.
-RUN git clone --depth 1 https://huggingface.co/datasets/devusman/waliyan data
+# --- IMPORTANT STEP: Using your specified multi-step logic ---
 
-# Copy package files and install dependencies first to leverage Docker's layer caching
+# 1. Clone the repository. This creates a folder named 'waliyan' inside /app
+RUN git clone --depth 1 https://huggingface.co/datasets/devusman/waliyan
+
+# 2. Move the data folder from inside 'waliyan' up to the app's root folder
+# This is the equivalent of 'copy' and 'paste'
+RUN mv waliyan/data .
+
+# 3. Clean up by removing the now-empty 'waliyan' folder
+RUN rm -rf waliyan
+
+# --- Data is now correctly at /app/data ---
+
+# Copy package files and install dependencies
 COPY package.json package-lock.json* ./
-# Use 'npm ci' for reproducible builds in production environments
-RUN npm i
+RUN npm install
 
-# Copy the rest of your application code (index.js, views/, etc.)
+# Copy the rest of your application code
 COPY . .
 
 # Expose the port that Hugging Face Spaces expects.
-# The platform will detect this and route traffic accordingly.
 EXPOSE 7860
 
 # The command to start your Express server
-# Your code will now find the 'data' folder at /app/data
 CMD ["node", "index.js"]

waliyan

@@ -0,0 +1 @@
+Subproject commit 3a8d31ad038421ea3211533c4a5028e85326620f