Accessing Jibber AI (Rapid API) using Python

To access RapidAPI from Python, you can use the requests library in combination with your RapidAPI key.

Here are the basic steps to get you started:

• Ensure you have signed up for a RapidAPI account and subscribed to the Jibber AI API. You will receive an API key that you will need to use to authenticate your requests
• Once you have your API key, you can make requests to the API endpoint using the requests library.
• If using the requests library, make sure you have the library installed in your Python environment. If you don't have it installed, you can install it using pip install requests or similar.

Here's an example using the requests library:

import requests

url = "https://jibber-analyzer.p.rapidapi.com/en/analyze"
headers = {
    "X-RapidAPI-Host": "jibber-analyzer.p.rapidapi.com",
    "X-RapidAPI-Key": "your-api-key-here"
}

body = {
    "features": {
        "sentiment": True,
        "keyword": True,
        "pii": True,
        "entities": True,
        "summary": True
    },
    "text": "My name is Julia Peach and I live in Paris."
}
response = requests.post(url, headers=headers, json=body)
response.raise_for_status()
print(response.json())

In the above example, replace your-rapid-api-key with your RapidAPI key.

For other languages, change the /en/ in the Uri to the language of choice: