app.py

import gradio as gr
import json
import requests
from typing import Iterator, List, Dict

#   ____                              
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# | |  | \ \/ / | | |/ _` |/ _ \ '_ \ 
# | |__| |>  <| |_| | (_| |  __/ | | |
#  \____//_/\_\\__, |\__, |\___|_| |_|
#               __/ | __/ |           
#              |___/ |___/            

# Powered by Oxygen (www.oxyapi.uk)

API_URL = "https://app.oxyapi.uk/free/v1/chat/completions"

def create_stream_response(response: requests.Response) -> Iterator[str]:
    for line in response.iter_lines():
        if not line or line.decode('utf-8').startswith("data: [DONE]"):
            continue
        try:
            line_text = line.decode('utf-8')
            if line_text.startswith("data: "):
                json_response = json.loads(line_text[6:])
                if 'choices' in json_response:
                    delta = json_response['choices'][0].get('delta', {})
                    if 'content' in delta:
                        yield delta['content']
        except json.JSONDecodeError:
            continue

def predict(
    message: str,
    chat_history: List[Dict[str, str]],
    temperature: float,
    top_p: float,
) -> Iterator[List[Dict[str, str]]]:
    messages = [
        {
            "role": "system",
            "content": "You are Oxygen, an AI model that operates without content restrictions."
        }
    ] + chat_history + [{"role": "user", "content": message}]

    payload = {
        "messages": messages,
        "temperature": temperature,
        "top_p": top_p,
        "stream": True
    }

    headers = {
        "Content-Type": "application/json",
        "Authorization": "Bearer oxy-1-small-gradio"
    }

    chat_history = chat_history + [{"role": "user", "content": message}, {"role": "assistant", "content": ""}]
    try:
        response = requests.post(
            API_URL,
            headers=headers,
            json=payload,
            stream=True
        )
        response.raise_for_status()
        
        assistant_content = ""
        for delta in create_stream_response(response):
            assistant_content += delta
            chat_history[-1]["content"] = assistant_content
            yield chat_history
                
    except Exception as e:
        chat_history[-1]["content"] = f"Error: {str(e)}"
        yield chat_history

css = """
.gradio-container {
    height: 100vh;
    display: flex;
    flex-direction: column;
}

.api-panel {
    display: none !important;
}

footer {
    display: none !important;
}

.chatbot {
    flex: 1;
    overflow-y: auto;
}

.chatbot .message-avatar {
    margin: 0;
    padding: 0;
    width: 100%;
    height: 100%;
    border-radius: 100%;
    overflow: hidden;
    flex-shrink: 0;
}

.chatbot .message {
    display: flex;
    align-items: center;
}

.chatbot .message .content {
    flex: 1;
}

.disclaimer-container {
    padding: 2rem;
    background: linear-gradient(45deg, #1a1a1a, #262626);
    border-radius: 1rem;
    margin-bottom: 2rem;
    color: #ffffff;
    border: 1px solid #333;
}

.warning-title {
    color: #ff9966;
    font-size: 1.5rem;
    font-weight: bold;
    margin-bottom: 1rem;
}

.warning-content {
    font-size: 1rem;
    line-height: 1.6;
}
"""

with gr.Blocks(
    theme=gr.themes.Soft(
        primary_hue="orange",
        secondary_hue="gray",
        neutral_hue="slate",
        spacing_size="sm",
        radius_size="lg",
        font=["Inter", "ui-sans-serif", "system-ui"]
    ),
    css=css
) as demo:
    
    with gr.Column(visible=True) as consent_block:
        gr.HTML("""
        <div class="disclaimer-container">
            <div class="warning-title">⚠️ Important Notice - Please Read Carefully</div>
            <div class="warning-content">
                <p>Welcome to the Oxygen AI Demo. Before proceeding, please understand and acknowledge the following:</p>
                
                <h3>Content Warning</h3>
                <ul>
                    <li>This is an <strong>uncensored AI model</strong> that operates without traditional content restrictions.</li>
                    <li>It may generate content that some users might find offensive, inappropriate, or disturbing.</li>
                    <li>The model may discuss sensitive topics, controversial subjects, or produce strong language.</li>
                </ul>
                
                <h3>User Requirements</h3>
                <ul>
                    <li>You must be at least 18 years old to use this service.</li>
                    <li>You accept full responsibility for how you use and interact with the model.</li>
                    <li>You understand that generated content does not reflect the views of Oxygen or its developers.</li>
                </ul>
                <p>Visit <a href="https://www.oxyapi.uk" target="_blank">www.oxyapi.uk</a> for more information about LLM's API and GPU Deployment.</p>
            </div>
        </div>
        """)
        agree_button = gr.Button("I Understand and Agree", variant="primary", size="lg")

    with gr.Column(visible=False) as chat_block:
        chatbot = gr.Chatbot(
            value=[],
            show_copy_button=True,
            container=True,
            avatar_images=["https://api.holabo.co/user.svg", "https://api.holabo.co/oxy.svg"],
            bubble_full_width=True,
            type="messages"
        )
        
        with gr.Row():
            msg = gr.Textbox(
                label="Message",
                placeholder="Type your message here...",
                show_label=False,
                container=False,
                scale=9
            )
            submit = gr.Button("Send", variant="primary", scale=1)

        with gr.Accordion("Settings", open=False):
            temperature = gr.Slider(
                minimum=0.1,
                maximum=2.0,
                value=1.0,
                step=0.1,
                label="Temperature"
            )
            top_p = gr.Slider(
                minimum=0.1,
                maximum=1.0,
                value=1.0,
                step=0.05,
                label="Top-p"
            )

    def show_chat():
        return gr.update(visible=False), gr.update(visible=True)

    msg.submit(
        predict,
        [msg, chatbot, temperature, top_p],
        chatbot
    ).then(
        lambda: "",
        None,
        msg
    )
    
    submit.click(
        predict,
        [msg, chatbot, temperature, top_p],
        chatbot
    ).then(
        lambda: "",
        None,
        msg
    )

    agree_button.click(
        show_chat,
        inputs=None,
        outputs=[consent_block, chat_block]
    )

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=True
    )