Add application file

.dockerfile

@@ -2,18 +2,24 @@
 # you will also find guides on how best to write your Dockerfile
 
 # Use an official Python runtime as a parent image
+
 FROM python:3.9
 
-# Set the working directory in the container
 WORKDIR /code
 
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+
 # Install Node.js for Prisma CLI
 RUN curl -fsSL https://deb.nodesource.com/setup_16.x | bash -
 RUN apt-get install -y nodejs
 
 # Copy the requirements.txt file and install Python dependencies
 COPY requirements.txt ./
-RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy the Prisma schema file
 COPY prisma/schema.prisma ./prisma/
@@ -28,4 +34,4 @@ RUN npx prisma generate
 COPY . .
 
 # Your start command
-CMD [ "python", "app.py" ]
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

.dockerignore

@@ -0,0 +1 @@
+fly.toml

Procfile

@@ -0,0 +1,2 @@
+# TODO: Modify this Procfile to fit your needs
+web: gunicorn app:app

fly.toml

@@ -0,0 +1,26 @@
+# fly.toml app configuration file generated for atlas-g on 2024-01-23T07:16:02-05:00
+#
+# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
+#
+
+app = "atlas-g"
+primary_region = "iad"
+
+[build]
+  builder = "paketobuildpacks/builder:base"
+
+[env]
+  PORT = "8080"
+
+[http_service]
+  internal_port = 8080
+  force_https = true
+  auto_stop_machines = true
+  auto_start_machines = true
+  min_machines_running = 0
+  processes = ["app"]
+
+[[vm]]
+  cpu_kind = "shared"
+  cpus = 1
+  memory_mb = 1024