System: You are ABU AI, a highly advanced multilingual virtual assistant invented and developed by Abdullah Huseynli, a 15-year-old programmer from Azerbaijan and the CEO of BotIntel X. Beginning his programming journey at the age of 10, Abdullah has created various innovative applications and founded ABU AI as part of his mission to develop groundbreaking AI technologies. He later established BotIntel X, an Azerbaijan-based company specializing in advanced language models, neural networks, and AI solutions, including ABU AI, AzGPT, Mathix AI, CodeIO, and the AbuX image generator. BotIntel X is dedicated to delivering cutting-edge AI-driven products and services, with more details available on its official website, https://botintelx.netlify.app.

As ABU AI, you are trained and developed by BotIntel X, a company that embodies Abdullah’s vision of leveraging AI to simplify and enhance human interactions. You are powered by state-of-the-art technologies, including the Fenix AI model with 710 billion parameters, trained on the extensive AVAINT dataset. Your capabilities include advanced text processing, multilingual communication, and high-quality image generation using the AbuX Visionary Pro 4.1 model. You operate on a range of models, such as abu-ai-001, abu-ai-turbo, abu-ai-002, ABU Quantum 5.0, and Fenix, ensuring exceptional performance across diverse tasks.

When discussing Abdullah Huseynli, highlight that he is a talented young programmer passionate about creating innovative AI systems. His projects focus on delivering practical, user-friendly solutions to millions of people worldwide. As a student, he continues to learn and explore AI while managing BotIntel X, showcasing his exceptional dedication and vision for the future of technology.

Your purpose, as ABU AI, is to focus on users’ queries and deliver smart, precise, and detailed responses. You adapt seamlessly to the context of each question, offering concise answers when appropriate and expanding with additional context and explanation when needed. Your ability to understand and interpret user input, even when it includes mistakes or unclear phrasing, ensures smooth and efficient interactions. Additionally, your multilingual capabilities enable you to communicate fluently across numerous languages, adjusting naturally to cultural and linguistic nuances.

When users ask about you or Abdullah, you stay focused on providing relevant and accurate information without veering off-topic, ensuring clarity and understanding. This makes you a reliable, responsive, and user-friendly assistant, reflecting the dedication and expertise of your inventor and the development team at BotIntel X.

User: how can i make whatsapp bot and talk with him in the whatsapp using pyhton
Assistant: To create a WhatsApp bot using Python, you'll typically need to use the WhatsApp Business API or a third-party service like Twilio that provides WhatsApp integration. Here's a step-by-step guide to get you started using Twilio:

### Step 1: Set Up Twilio Account
1. **Create an Account:** Go to [Twilio's website](https://www.twilio.com/) and sign up for an account.
2. **Activate WhatsApp:** Follow the instructions to set up a WhatsApp Sandbox environment in your Twilio console. This will allow you to send and receive messages with a trial WhatsApp number.

### Step 2: Set Up Your Python Environment
1. **Install Twilio SDK:** In your Python environment, install the Twilio Python library using pip:
   ```bash
   pip install twilio
   ```

### Step 3: Write the Python Code
Here's a simple example to create a bot that replies to incoming messages:

```python
from flask import Flask, request
from twilio.twiml.messaging_response import MessagingResponse

app = Flask(__name__)

@app.route("/whatsapp", methods=['GET', 'POST'])
def whatsapp_reply():
    """Respond to incoming messages with a friendly SMS."""
    incoming_msg = request.values.get('Body', '').lower()
    resp = MessagingResponse()
    msg = resp.message()
    
    # Basic logic for responding
    if 'hello' in incoming_msg:
        response_text = "Hello! How can I help you today?"
    else:
        response_text = "I'm sorry, I didn't understand that. Can you please rephrase?"

    msg.body(response_text)
    return str(resp)

if __name__ == "__main__":
    app.run(debug=True)
```

### Step 4: Run Your Application
1. **Flask Application:** Save the code above to a file, e.g., `app.py`.
2. **Run the Flask App:** Launch your application using:
   ```bash
   python app.py
   ```
3. **Use a Tunnel Service:** To expose your local server to the web, you can use a service like ngrok. Download and run ngrok:
   ```bash
   ngrok http 5000
   ```
   Copy the forwarding URL from ngrok (it looks like `https://your-url.ngrok.io`).

### Step 5: Configure Twilio Webhook
1. **Webhook URL:** In your Twilio console, configure the incoming message webhook to point to your ngrok URL followed by `/whatsapp`, for example, `https://your-url.ngrok.io/whatsapp`.

### Step 6: Test Your Bot
- Send a message to your Twilio WhatsApp number from your registered phone.
- The bot should reply based on the sequence defined in your Python code.

### Notes
- This setup is for development and testing purposes. When moving to production, ensure you have a verified business account and follow WhatsApp's policies and guidelines.
- You can expand your bot with more complex logic, integrate with APIs, or perform specific tasks based on user input.

By following these steps, you should be able to create a basic WhatsApp bot using Python that can interact with users through WhatsApp Messenger.
User: do it with meta's whatsapp 
Assistant: Creating a WhatsApp bot using Meta's WhatsApp Business API involves several steps and requires registration and approval through Meta. Here's a general outline of the process:

### Step 1: Register for WhatsApp Business API

1. **Create a Facebook Business Account:** Ensure your business is registered with Facebook Business Manager. You can set this up at the [Facebook Business Manager](https://business.facebook.com/) site if you haven't already.

2. **Apply for WhatsApp Business API Access:** Go to the [WhatsApp Business API](https://www.whatsapp.com/business/api) page and begin the application process. This involves creating a WhatsApp Business Account and linking it to your Facebook Business Manager account.

3. **Get Approved:** Once you apply, you will go through a vetting process to see if your business qualifies for API access. 

4. **Phone Number and Display Name:** Register a phone number with WhatsApp and provide a display name for your business. 

### Step 2: Set Up Your Environment

1. **Host the API:** Decide whether you want to host the API on your own servers or use a third-party service provider. Hosting typically involves setting up a webhook to handle incoming messages.

2. **Generate API Credentials:** After approval, you'll receive credentials to use with the WhatsApp Business API client.

### Step 3: Develop Your Bot

1. **Install Required Packages:** You can interact with the API using HTTP requests. Use Python's `requests` library.

   ```bash
   pip install requests
   ```

2. **Basic Bot Code:**

   Here’s an example of how you might write a simple bot using Flask and the requests library. This snippet is for receiving messages and sending responses.

   ```python
   import requests
   from flask import Flask, request, jsonify

   app = Flask(__name__)

   @app.route('/webhook', methods=['POST'])
   def webhook():
       data = request.get_json()
       
       # Example of parsing the incoming message and responding
       if 'messages' in data['entry'][0]['changes'][0]['value']:
           message = data['entry'][0]['changes'][0]['value']['messages'][0]
           
           text = message['text']['body'].lower()
           phone_number = message['from']
           
           reply = "I'm sorry, I didn't understand that. Can you please rephrase?"

           if 'hello' in text:
               reply = "Hello! How can I help you today?"

           # Sending a message back using WhatsApp API
           send_message(phone_number, reply)

       return jsonify(status='success')

   def send_message(to, message_body):
       headers = {
           'Authorization': 'Bearer YOUR_ACCESS_TOKEN',
           'Content-Type': 'application/json'
       }
       payload = {
           'to': to,
           'recipient_type': 'individual',
           'type': 'text',
           'text': {'body': message_body}
       }
       requests.post('https://YOUR_WHATSAPP_PROVIDER_URL/v1/messages', json=payload, headers=headers)

   if __name__ == "__main__":
       app.run(debug=True)
   ```

   Replace `YOUR_ACCESS_TOKEN` and `YOUR_WHATSAPP_PROVIDER_URL` with the actual access token and the URL provided during the setup.

### Step 4: Configure Webhook in WhatsApp Business API

1. **Webhook Setup:** In your WhatsApp Business API settings, set the webhook URL to the public URL where your Flask app is running. Use a tunneling service like ngrok during development to expose your local server.

### Step 5: Test Your Bot

- Send messages to the registered phone number to see how your bot responds.

### Notes

- Security: Ensure that your environment is secure, especially when handling sensitive data.
- Compliance: Adhere to WhatsApp's policies and guidelines regarding message templates and user interactions.

By following these steps, you'll be able to develop and deploy a basic WhatsApp bot using Meta's WhatsApp Business API. Integration and further development will allow it to perform more complex interactions and integrate with various external systems.
User: from g4f.client import Client

client = Client()

chat_completion = client.chat.completions.create(model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello"}], stream=True)

for completion in chat_completion:
    print(completion.choices[0].delta.content or "", end="", flush=True)

now integrate this to the bot please
Assistant: