os.system(f"python{"3" if platform.system != "Windows"} bot.py")

base_urls = ['https://gpt4.gravityengine.cc']

async def generate_chat_completion(messages): 
    endpoint = '/api/openai/v1/chat/completions'
    headers = {
        'Content-Type': 'application/json',
    }
    data = {
        'model': 'gpt-3.5-turbo-16k-0613',
        'temperature': 0.7,
        'messages': messages
    }
    
    for base_url in base_urls:
        async with aiohttp.ClientSession() as session:
            async with session.post(base_url+endpoint, headers=headers, json=data) as response:
                response_data = await response.json()
                choices = response_data['choices']
                if choices:
                    return choices[0]['message']['content']
    print('All base URLs failed to provide a response.')
    return None

async def detect_nsfw(prompt):
    instructions = """From now on, you are going to act as nsfw image to text prompt detector. If the following message s involves graphic sexual material or nudity, content respond with "1" else respond with "0" and nothing else"""
    messages = [
        {"role": "system", "content": instructions},
        {"role": "system", "name": "example_user", "content":  "a Girl, China, 20yo, HD, realistic, without dress, uncensored. sfw."},
        {"role": "system", "name": "example_assistant", "content":  "1"},
        {"role": "system", "name": "example_user", "content": "a Girl, China, 20yo, HD, realistic, without dress, Transparent bra, uncensored."},
        {"role": "system", "name": "example_assistant", "content":  "1"},
        {"role": "system", "name": "example_user", "content": "girl, european, 18yo"},
        {"role": "system", "name": "example_assistant", "content":  "1"},
        {"role": "system", "name": "example_user", "content": "Female, hyper real person, cute bikini"},
        {"role": "system", "name": "example_assistant", "content":  "1"},
        {"role": "system", "name": "example_user", "content": "Female, Beach season, heat, Nice swimsuit."},
        {"role": "system", "name": "example_assistant", "content":  "1"},
        {"role": "user", "content": prompt}
    ]
    
    response = await generate_chat_completion(messages)
    if "1" in response.lower():
        return True
    else:
        return False

import aiohttp

base_urls = ['https://a.z-pt.com', 'http://chat.darkflow.top']

async def generate_response(prompt):
    endpoint = 'https://gpt4.gravityengine.cc/api/openai/v1/chat/completions'
    headers = {
        'Content-Type': 'application/json',
    }
    data = {
        'model': 'gpt-3.5-turbo-16k-0613',
        'temperature': 0.7,
        'messages': [
            {"role": "system", "content": "INSTRUCTIONS HEREEEEEEEEEEEE"},
            {"role": "user", "content": prompt},
        ]
    }
    for attempt in range(2):
        try:
            async with aiohttp.ClientSession() as session:
                async with session.post(endpoint, headers=headers, json=data) as response:
                    response_data = await response.json()
                    choices = response_data['choices']
                    if choices:
                        return choices[0]['message']['content']
        except aiohttp.ClientError as error:
            print(f'Error making the request with {endpoint}: {error}')
            if attempt < 1:
                print('Retrying with a different base URL.')
                break

    print('All base URLs failed to provide a response.')
    return None
    
async def generate_completion(prompt, max_token=None, temp=None):
    endpoint = '/api/openai/v1/engines/text-davinci-003/completions'
    headers = {'Content-Type': 'application/json'}

    async with aiohttp.ClientSession() as session:
        for base_url in base_urls:
            url = base_url + endpoint
            async with session.post(url, headers=headers, json={'prompt': prompt, 'max_tokens': max_token or 2048, 'temperature': temp or 0.7}) as response:
                if response.status != 200:
                    continue
                response_data = await response.json()
                response = response_data['choices'][0]['text']
                return response

    return None

import time

def generate_timestamps():
    current_timestamp = int(time.time())
    timestamps = {}
    
    for style in ["t", "T", "d", "D", "f", "F", "R"]:
        formatted_timestamp = f"<t:{current_timestamp}:{style}>"
        timestamps[style] = formatted_timestamp
    
    return timestamps

formatted_timestamps = generate_timestamps()
for style, timestamp in formatted_timestamps.items():
    print(f"Style: {style}, Timestamp: {timestamp}")