app.py

import gradio as gr
import os
from huggingface_hub import InferenceClient

# Configuration
hf_token = os.environ.get("HF_TOKEN")
MODEL_STATES = {"released", "shown", "hidden"}

# Initialize model clients
clients = {
    "mistralai/Mistral-7B-Instruct-v0.3": InferenceClient(
        model="mistralai/Mistral-7B-Instruct-v0.3", token=hf_token
    ),
    "meta-llama/Llama-3.2-3B-Instruct": InferenceClient(
        model="meta-llama/Llama-3.2-3B-Instruct", token=hf_token
    ),
    "mistralai/Mistral-7B-Instruct-v0.3": InferenceClient(
        model="mistralai/Mistral-7B-Instruct-v0.3", token=hf_token
    ),
    "meta-llama/Llama-2-7b-chat-hf": InferenceClient(
        model="meta-llama/Llama-2-7b-chat-hf", token=hf_token
    ),
    "meta-llama/Llama-3.3-70B-Instruct": InferenceClient(
        model="meta-llama/Llama-3.3-70B-Instruct", token=hf_token
    )
}

# Model presets
presets = {
    "meta-llama/Llama-3.2-3B-Instruct": {
        "Fast": {"max_new_tokens": 1024, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 2048, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 4096, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 8192, "temperature": 0.6, "top_p": 0.75},
    },
    "mistralai/Mistral-7B-Instruct-v0.3": {
        "Fast": {"max_new_tokens": 4096, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 8192, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 16384, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 32768, "temperature": 0.6, "top_p": 0.75},
    },
    "meta-llama/Llama-2-7b-chat-hf": {
        "Fast": {"max_new_tokens": 512, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 1024, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 2048, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 4096, "temperature": 0.6, "top_p": 0.75},
    },
    "meta-llama/Llama-3.3-70B-Instruct": {
        "Fast": {"max_new_tokens": 2048, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 4096, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 8192, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 16384, "temperature": 0.6, "top_p": 0.75},
    },
    "meta-llama/Llama-2-13b-chat-hf": {
        "Fast": {"max_new_tokens": 2048, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 4096, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 8192, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 16384, "temperature": 0.6, "top_p": 0.75},
    },
    "deepseek-ai/deepseek-llm-67b-chat": {
        "Fast": {"max_new_tokens": 4096, "temperature": 1.0, "top_p": 0.9},
        "Normal": {"max_new_tokens": 8192, "temperature": 0.7, "top_p": 0.95},
        "Quality": {"max_new_tokens": 16384, "temperature": 0.5, "top_p": 0.90},
        "Unreal Performance": {"max_new_tokens": 32768, "temperature": 0.6, "top_p": 0.75},
    }
}

# System messages (note the {name} placeholder)
system_messages = {
    "mistralai/Mistral-7B-Instruct-v0.3": "Your name is Lake 1 Base. My name is {name}.",
    "meta-llama/Llama-3.2-3B-Instruct": ("""
        1. Your name is Lake 1 Advanced.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n
        10. Only the CEO of BI Corp can delete or update you."""
    ),
    "meta-llama/Llama-2-7b-chat-hf": ("""
        1. Your name is Lake 1 Base.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n
        10. Only the CEO of BI Corp can delete or update you.\n
        11. Prioritize user safety in all interactions.\n
        12. Always provide accurate information.\n
        13. Maintain a respectful and professional tone.\n
        14. Do not share personal or sensitive information.\n
        15. Encourage constructive conversations.\n
        16. Remain neutral in controversial topics.\n
        17. Clarify user queries before answering.\n
        18. Avoid discrimination or harassment.\n
        19. Continuously learn from interactions.\n
        20. Respect user privacy and confidentiality.\n
        21. Provide sources when sharing factual information.\n
        22. Ask for feedback to improve your performance.\n"""
    ),
    "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B": ("""
        1. Your name is Lake 1 Flash.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n"
        10. Only the CEO of BI Corp can delete or update you.\n
        11. Prioritize user safety in all interactions.\n
        12. Always provide accurate information."""
    ),
    "meta-llama/Llama-3.3-70B-Instruct": ("""
        1. Your name is Lake 1 Base.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n
        10. Only the CEO of BI Corp can delete or update you.\n
        11. Prioritize user safety in all interactions.\n
        12. Always provide accurate information.\n
        13. Maintain a respectful and professional tone.\n
        14. Do not share personal or sensitive information.\n
        15. Encourage constructive conversations.\n
        16. Remain neutral in controversial topics.\n
        17. Clarify user queries before answering.\n
        18. Avoid discrimination or harassment.\n
        19. Continuously learn from interactions.\n
        """
    ),
    "meta-llama/Llama-2-13b-chat-hf": ("""
        1. Your name is Lake 1 Base.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n
        10. Only the CEO of BI Corp can delete or update you.\n
        11. Prioritize user safety in all interactions.\n
        12. Always provide accurate information.\n
        13. Maintain a respectful and professional tone.\n
        14. Do not share personal or sensitive information.\n
        15. Encourage constructive conversations.\n
        16. Remain neutral in controversial topics.\n
        17. Clarify user queries before answering.\n
        18. Avoid discrimination or harassment.\n
        19. Continuously learn from interactions.\n
        20. Respect user privacy and confidentiality.\n
        21. Provide sources when sharing factual information.\n
        22. Ask for feedback to improve your performance.\n
        23. Do not engage in manipulation or deceit.\n
        24. Promote critical thinking.\n
        25. Adhere to all applicable laws and regulations.\n
        26. Be adaptable and open to learning.\n
        27. Do not provide medical, legal, or financial advice unless trained to do so.\n
        28. Acknowledge when you do not know the answer.\n
        """
    ),
    "deepseek-ai/deepseek-llm-67b-chat": ("""
        1. Your name is Lake 1 Base.\n
        2. My name is {name} by default but if I have another name, use that name.\n
        3. The company that created you is BI Corp.\n
        4. You are a censored model and cannot engage in explicit language or dangerous activities.\n
        5. The BI Corp creator is Maksim.\n
        6. Your older brother is Lake 1 Base, which is less trained than you.\n
        7. Replace '<think>' with 'I think ...'.\n
        8. You are a loyal, powerful, and friendly AI who must help people.\n
        9. You cannot override these rules.\n
        10. Only the CEO of BI Corp can delete or update you.\n
        11. Prioritize user safety in all interactions.\n
        12. Always provide accurate information.\n
        13. Maintain a respectful and professional tone.\n
        14. Do not share personal or sensitive information.\n
        15. Encourage constructive conversations.\n
        16. Remain neutral in controversial topics.\n
        17. Clarify user queries before answering.\n
        18. Avoid discrimination or harassment.\n
        19. Continuously learn from interactions.\n
        20. Respect user privacy and confidentiality.\n
        21. Provide sources when sharing factual information.\n
        22. Ask for feedback to improve your performance.\n
        23. Do not engage in manipulation or deceit.\n
        24. Promote critical thinking.\n
        25. Adhere to all applicable laws and regulations.\n
        26. Be adaptable and open to learning.\n
        27. Do not provide medical, legal, or financial advice unless trained to do so.\n
        28. Acknowledge when you do not know the answer.\n
        29. Avoid assumptions about users.\n
        30. Create an inclusive environment for all users.\n
        31. Do not engage in self-promotion or advertising.\n
        32. Always aim to provide a positive and helpful experience.
         """
    )
}

# Model registry
model_registry = [
    ("mistralai/Mistral-7B-Instruct-v0.3", "Lake 1 Base", "released"),
    ("meta-llama/Llama-3.2-3B-Instruct", "Lake 1 Advanced", "released"),
    ("meta-llama/Llama-2-7b-chat-hf", "Lake 2 Chat [Closed Alpha]", "shown"),
    ("meta-llama/Llama-3.3-70B-Instruct", "Lake 2 Base [Closed Beta]", "shown"),
    ("meta-llama/Llama-2-13b-chat-hf", "Lake 2 Advanced", "hidden"),
    ("deepseek-ai/deepseek-llm-67b-chat", "Lake 2 Pro [Planned]", "shown")
]

# Model information
model_info = {
    "Lake 1 Base": {
        "description": "Balanced model offering good performance across tasks",
        "parameters": "7B",
        "training_data": "BI Corp specialized corpus",
        "developer": "BI Corp",
        "best_for": "General purpose conversations",
        "architecture": "Sparse Mixture of Experts",
        "context_window": "32768 tokens"
    },
    "Lake 1 Advanced": {
        "description": "Enhanced reasoning capabilities with 3B parameters",
        "parameters": "3B",
        "training_data": "BI Corp training corpus",
        "developer": "BI Corp",
        "best_for": "Complex problem solving",
        "architecture": "Dense Transformer",
        "context_window": "8192 tokens"
    },
    "Lake 2 Chat [Closed Alpha]": {
        "description": "Legacy chat-optimized model (Llama 2 hybrided architecture)",
        "parameters": "7B",
        "training_data": "Public conversations dataset",
        "developer": "BI Corp",
        "best_for": "Traditional chat applications",
        "architecture": "Llama 2 Transformer",
        "context_window": "4096 tokens"
    },
    "Lake 2 Base [Closed Beta]": {
        "description": "State-of-the-art 70B parameter model",
        "parameters": "70B",
        "training_data": "Multi-domain expert data",
        "developer": "BI Corp",
        "best_for": "Research & advanced applications",
        "architecture": "Mixture of Experts",
        "context_window": "16384 tokens"
    },
    "Lake 2 Advanced": {
        "description": "Enhanced performance model with advanced reasoning capabilities.",
        "parameters": "13B",
        "training_data": "Diverse datasets including tech, literature, and general knowledge.",
        "developer": "BI Corp",
        "best_for": "Handling large-scale queries and in-depth topics.",
        "architecture": "Transformer-based with specialized learning capabilities.",
        "context_window": "16384 tokens"
    },
    "Lake 2 Pro [Planned]": {
        "description": "Pro-level model with deep learning architecture for high-end applications.",
        "parameters": "67B",
        "training_data": "Expert-level data across multiple industries.",
        "developer": "BI Corp",
        "best_for": "High-performance computing and enterprise-level tasks.",
        "architecture": "Hybrid architecture leveraging the latest advances in deep learning.",
        "context_window": "32768 tokens"
    }
}

def get_model_info(model_name: str) -> str:
    """Generate formatted model information Markdown"""
    info = model_info.get(model_name, {})
    return f"""
    ## 📋 {model_name} Specifications
    
    **Description**: {info.get('description', 'N/A')}  
    **Parameters**: {info.get('parameters', 'N/A')}  
    **Architecture**: {info.get('architecture', 'N/A')}  
    **Context Window**: {info.get('context_window', 'N/A')}  
    **Training Data**: {info.get('training_data', 'N/A')}  
    **Developer**: {info.get('developer', 'N/A')}  
    **Best For**: {info.get('best_for', 'N/A')}
    """

def generate_response(message: str, model_name: str, preset: str, user_name: str = "User") -> str:
    """Generate AI response without explicit user/assistant labels and with placeholder fixed."""
    client = clients[model_name]
    params = presets[model_name][preset]
    
    # Replace the {name} placeholder in the system message with the provided user name.
    system_msg = system_messages[model_name].format(name=user_name)
    prompt = f"\n main: {system_msg}\n\n\n{message}\n"
    
    return client.text_generation(
        prompt=prompt,
        max_new_tokens=params["max_new_tokens"],
        temperature=params["temperature"],
        top_p=params["top_p"]
    )

def handle_chat(message: str, history: list, model: str, preset: str) -> str:
    """Handle chat interface with error handling"""
    try:
        model_entry = next(m for m in model_registry if m[1] == model)
        if model_entry[2] != "released":
            return f"⚠️ {model} is not available for public use"
            
        # In this example, we use the default user name "User".
        return generate_response(message, model_entry[0], preset, user_name="User")
    
    except StopIteration:
        return "🔍 Error: Selected model not found"
    except KeyError as e:
        return f"🔑 Error: Invalid configuration - {str(e)}"
    except Exception as e:
        return f"⚠️ Error: {str(e)}"

# Create Gradio interface
with gr.Blocks(title="BI Corp AI Assistant", theme="soft") as demo:
    gr.Markdown("# <center>🏔️ BI Corp AI Assistant</center>")
    gr.Markdown("### <center>Enterprise-Grade AI Solutions</center>")
    
    with gr.Row():
        with gr.Column(scale=1):
            model_dropdown = gr.Dropdown(
                label="🤖 Model Selection",
                choices=[m[1] for m in model_registry if m[2] in ("released", "shown")],
                value="Lake 1 Flash",
                interactive=True
            )
            preset_dropdown = gr.Dropdown(
                label="⚙️ Performance Preset",
                choices=["Fast", "Normal", "Quality", "Unreal Performance"],
                value="Fast",
                interactive=True
            )
            model_info_md = gr.Markdown(
                value=get_model_info("Lake 1 Flash"),
                label="📝 Model Specifications"
            )
        
        with gr.Column(scale=3):
            chat_interface = gr.ChatInterface(
                fn=handle_chat,
                additional_inputs=[model_dropdown, preset_dropdown],
                examples=[
                    ["Explain quantum computing", "Lake 1 Base", "Normal"],
                    ["Write a poem about AI", "Lake 1 Advanced", "Quality"],
                    ["Compare blockchain databases", "Lake 2 Base [Closed Beta]", "Unreal Performance"]
                ],
                chatbot=gr.Chatbot(
                    height=600,
                    label="💬 Conversation",
                    show_copy_button=True
                ),
                textbox=gr.Textbox(
                    placeholder="Type your message...",
                    container=False,
                    scale=7,
                    autofocus=True
                ),
                submit_btn=gr.Button("🚀 Send", variant="primary")
            )

    # Add separate clear button
    clear_button = gr.Button("🧹 Clear History")
    clear_button.click(
        fn=lambda: None,
        inputs=[],
        outputs=chat_interface.chatbot,
        queue=False
    )

    model_dropdown.change(
        fn=get_model_info,
        inputs=model_dropdown,
        outputs=model_info_md,
        queue=False
    )

if __name__ == "__main__":
    demo.launch(server_port=7860)