fix: Implement Dockerfile for reliable deployment

Dockerfile

@@ -1,37 +1,20 @@
-# Start with a stable Python image
+# Start with the official Python 3.11 image
 FROM python:3.11-slim
 
-# Set environment variables for non-interactive installs and the app directory
-ENV PYTHONUNBUFFERED=1
-ENV APP_HOME=/app
+# Set the working directory inside the container
+WORKDIR /app
 
-# Set the CMake arguments that llama-cpp-python now requires.
-# We set GGML_CUDA=OFF because the free CPU container doesn't have a GPU.
-ENV CMAKE_ARGS="-DGGML_CUDA=OFF"
+# Copy the requirements file first and install dependencies
+# This is a best practice for Docker caching
+COPY requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
-# Set the working directory
-WORKDIR $APP_HOME
-
-# Install system dependencies needed for building packages
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    build-essential \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy ONLY the requirements file to leverage Docker's cache
-COPY requirements.txt ./
-
-# Install Python dependencies
-# The CMAKE_ARGS environment variable will be used during the installation of llama-cpp-python
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
-
-# Copy the entire application code into the container
-# This comes AFTER installing dependencies, so changes to code don't break the cache.
+# Copy the rest of your application code
 COPY . .
 
-# Expose the port the app will run on
+# Expose the port the app will run on (Hugging Face uses 7860)
 EXPOSE 7860
 
-# The command to run your FastAPI application using uvicorn
+# Command to run the application using uvicorn
+# We need to specify the host and port for Hugging Face Spaces
 CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -3,11 +3,10 @@ title: Reachify Ai Service
 emoji: 🚀
 colorFrom: indigo
 colorTo: purple
-sdk: python
-python_version: 3.11
-app_file: api/main.py
+sdk: docker
+app_port: 7860
 pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This is a FastAPI-based AI service running inside a Docker container.