From Python Script to Web App - Deploy Using FastAPI

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AI Nuggets

Instructions Extracted from Video Transcript

Concepts to Understand

• Importance of understanding the principles behind the scenes for custom applications.
• Integration of multiple applications through webhooks and HTTPS requests.

Turning Python Application into a Web Application

1. Use the FastAPI library to turn the Python application into a web application.
2. Host the web application using the Uvicorn library.

Running the Application

• Instead of running the application with python main.py, the application will be accessible via a web address.
• For local deployment, the server address will be https://localhost:8000.

Endpoints and Logic

• https://localhost:8000/ - Triggers the logic to confirm the application is running.
• https://localhost:8000/emails - Triggers the logic to read unread emails in the inbox.

Code Overview

• Deploy the app as a Uvicorn server.
• Set up the project as a web application with app = FastAPI().
• Define logic for endpoints:
  • app.get("/") - Homepage logic.
  • app.get("/emails") - Logic for reading emails.
  • app.post("/process_email") - Logic for processing emails.

Setting Up and Running the Server

1. Install necessary libraries:
   • pip install fastapi
   • pip install pydantic
   • pip install simplegmail
2. Ensure you have the client secret authentication keys for Gmail API.
3. Launch the application with the following command:
   • uvicorn main:app --reload --host 0.0.0.0 --port 8000

Testing Endpoints

• Visit https://localhost:8000/ to check if the server is running.
• Visit https://localhost:8000/emails to read unread emails.
• Note: The /process_email endpoint requires a POST request, which cannot be done directly from a browser.

Additional Information

• For further assistance, the video description contains a link to book a one-on-one video call with the creator for free guidance on software development and AI.

Video Description

• The video description may contain a link for booking a one-on-one call, but the exact URL is not provided in the transcript.

(Note: The above instructions are based on the provided transcript and assume that the URLs and commands are accurate as per the video content. The actual URLs and commands should be verified against the video and its description.)