Merge pull request #1 from tharuka-pavith/dev

Upgrade to v0.1.0

.dockerignore

@@ -0,0 +1,3 @@
+__pycache__
+.env
+/bot-env

.gcloudignore

@@ -0,0 +1,4 @@
+__pycache__
+.env
+/secrets/
+/bot-env/

Dockerfile

@@ -0,0 +1,17 @@
+FROM python:3.10-slim
+
+ENV PYTHONUNBUFFERED True
+
+# ENV APP_HOME ./app
+# WORKDIR $APP_HOME
+COPY . ./
+
+ENV PORT 8080
+
+# Expose port
+EXPOSE ${PORT}
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+# As an example here we're running the web service with one worker on uvicorn.
+CMD exec uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers 1

firebase/firebase_config.py

@@ -6,6 +6,7 @@
 from dotenv import load_dotenv
 load_dotenv()
 
+#Replace with real values when deploying
 SERVICE_ACCOUNT_KEY = {
     "type": os.environ["TYPE"],
     "project_id": os.environ["PROJECT_ID"],

main.py

@@ -5,10 +5,30 @@
 from handlers.chat_handler import chat_agent_response
 from dotenv import load_dotenv
 load_dotenv()
-app = FastAPI()
 
+description = """
+GAN Based Text to Image Synthesizer API
+### Description
 
-@app.post("/chat-bot")
+Generate images according to text descriptions.
+
+"""
+tags_metadata = [
+    {
+        "name": "chat-bot",
+        "description": "Endpoint to chat with the bot",
+    },
+]
+
+app = FastAPI(
+    title="Text-to-Image Bot API (dev)",
+    description=description,
+    version="0.1.0",
+    openapi_tags=tags_metadata
+)
+
+
+@app.post("/chat-bot", description="Endpoint to chat with the bot",tags=["chat-bot"])
 def chat_endpoint(chat: HumanMessageModel) -> AIMessageModel:
     response = chat_agent_response(chat)
     return response