How to Create a Multilingual Translation Bot with ChatGPT and Python and deploy it to Vercel

How to Create a Multilingual Translation Bot with ChatGPT and Python and deploy it to Vercel

After extensive research and some sleepless nights (approximately one hour), I’ve discovered a way to create a multilingual translation bot using ChatGPT, Python, and Vercel. In this article, I’ll guide you step-by-step, providing code comments to make it easy to understand.

Step 1: Required Libraries (Python)

Python

First, let’s set up the necessary Python libraries:

# index.py
import os  # Used for setting Python environment
from gtts import gTTS  # Converts text to speech
from flask import Flask, send_file, request  # Python web framework
import openai  # The parent of ChatGPT

Step 2: Set Up OPEN_API_KEY and Initialize Flask App

OpenAI key

os.environ["OPEN_API_KEY"] = "YOUR_API_KEY"  # Set Python environment variable (API key: https://platform.openai.com/account/api-keys)
openai.api_key = os.environ.get("OPEN_API_KEY")  # Configure OpenAI with the API key
app = Flask(__name__)  # Initialize Flask app

Step 3: Main Function

@app.route('/tts')  # Similar to route in any framework
def comtor():
    text = request.args.get('text', default='', type=str)  # Get parameters (e.g., tts?lang=vi&text=Đoan is a good older brother, even though he doesn't have a younger sister)
    lang = request.args.get('lang', default='', type=str)  # Get parameters (e.g., tts?lang=vi&text=Đoan is a good older brother, even though he doesn't have a younger sister)
    prompt = f"translate Vietnamese to Japanese: \"{text}\"" if lang == "vi" else f"translate Japanese to Vietnamese: \"{text}\""  # Input for ChatGPT training; here, we set two languages: vi or ja
    langTrans = "ja" if lang == "vi" else 'vi'  # Output language for speech synthesis
    response = openai.Completion.create(
        engine="text-davinci-003",  # Model evaluated by ChatGPT for the best translation results
        prompt=prompt,
        max_tokens=100,  # Maximum characters in the response
        temperature=0.0,  # Higher temperature results in more diverse but less accurate output; for translation, we set it to 0.0
        top_p=1.0,  # Determines the proportion of considered words; lower values result in fewer words, so we set it to 1.0
        n=1,  # Length of the generated text (n); here, we set it to 1 for a 1:1 translation
        stop=None,  # Ensure the model stops after generating a complete word or sentence
    )
    translated_text = response['choices'][0]['text'].strip()  # Get ChatGPT's translation result
    tts = gTTS(text=translated_text, lang=langTrans, slow='false')  # Convert the result to speech
    tts.save('/tmp/hello.mp3')  # Save to storage (using /tmp so Vercel has permission to save audio files in a temporary directory)
    return send_file("/tmp/hello.mp3", as_attachment=False)  # Send the speech result

Step 4: Run the App

if __name__ == '__main__':
    app.run(host='0.0.0.0')

Note: I used PyCharm and Python 3.10 for this example.

Deploying to Vercel


To deploy this locally developed bot to Vercel for free:

  1. Create a vercel.json file (as shown below).
  2. Push your code to Git.
  3. Link Git with Vercel.
  4. Voilà! You can check the deployed bot here.
{
    "version": 2,
    "builds": [
        {
            "src": "./index.py",
            "use": "@vercel/python"
        }
    ],
    "routes": [
        {
            "src": "/(.*)",
            "dest": "/"
        }
    ]
}

And there you have it! With just 30 lines of code, you’ve created an impressive translation bot. If you have any questions or need further clarification, feel free to ask! 🚀👍



Popular Posts

Monorepos: What Are They and How to Implement Them Using Nx

Monorepos: What Are They and How to Implement Them Using Nx

7 mins read

Wed Jun 05 2024

How to Create a Multilingual Translation Bot with ChatGPT and Python and deploy it to Vercel

How to Create a Multilingual Translation Bot with ChatGPT and Python and deploy it to Vercel

7 mins read

Mon Jun 10 2024

JavaScript: Optimizing Code and Improving Performance with Small Tips

JavaScript: Optimizing Code and Improving Performance with Small Tips

7 mins read

Wed Jun 12 2024

How to Create a Bot on Slack and Implement Image Content Translation Using ChatGPT and Node.js

How to Create a Bot on Slack and Implement Image Content Translation Using ChatGPT and Node.js

7 mins read

Mon Jun 17 2024

Last Comment

"
"
Ho Doan IT
Tue Jun 25 2024
"
"
Ho Doan IT
Tue Jun 25 2024
"
"
Ho Doan IT
Tue Jun 25 2024
"
"
Ho Doan IT
Tue Jun 25 2024
HoDoanIT Logo

HoDoanIT

Follow us on instagram

Ảnh số 0
Ảnh số 1
Ảnh số 2
Ảnh số 3
Ảnh số 4
Ảnh số 5
Ảnh số 6
Ảnh số 7
Ảnh số 8
#IT
#OpenAI

Comments

Jese Leos
25 April 2023
White white dreamy drama tically place everything although. Place out apartment afternoon whimsical kinder, little romantic joy we flowers handmade.
Jese Leos
25 April 2023
White white dreamy drama tically place everything although. Place out apartment afternoon whimsical kinder, little romantic joy we flowers handmade.
Jese Leos
25 April 2023
White white dreamy drama tically place everything although. Place out apartment afternoon whimsical kinder, little romantic joy we flowers handmade.

Leave a comment

Save my name, email, and website in this browser for the next time I comment.