import gradio as gr
from huggingface_hub import InferenceClient

class AICompanion:
    """
    Combined AI Companion with Chatbot and Image Generation
    """
    def __init__(self):
        # Chatbot Model Configuration
        self.chatbot_client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
        
        # Image Generation Model Configuration
        self.image_client = InferenceClient("black-forest-labs/FLUX.1-schnell")

    def chatbot_respond(
        self,
        message,
        history: list[tuple[str, str]],
        system_message="You are a friendly Chatbot.",
        max_tokens=512,
        temperature=0.7,
        top_p=0.95,
    ):
        """
        Generate chatbot responses using Hugging Face's Zephyr model
        """
        messages = [{"role": "system", "content": system_message}]

        for val in history:
            if val[0]:
                messages.append({"role": "user", "content": val[0]})
            if val[1]:
                messages.append({"role": "assistant", "content": val[1]})

        messages.append({"role": "user", "content": message})

        response = ""
        for message in self.chatbot_client.chat_completion(
            messages,
            max_tokens=max_tokens,
            stream=True,
            temperature=temperature,
            top_p=top_p,
        ):
            token = message.choices[0].delta.content or ""
            response += token
            yield response

    def generate_image(self, prompt):
        """
        Generate image using Flux.1-schnell model
        """
        if not prompt:
            return None
        
        try:
            return self.image_client.text_to_image(prompt)
        except Exception as e:
            return f"Error generating image: {str(e)}"

    def create_interface(self):
        """
        Create a combined Gradio interface with chatbot and image generation
        """
        with gr.Blocks() as demo:
            gr.Markdown("# AI Companion: Chat and Image Generation")
            
            with gr.Tab("Chatbot"):
                chatbot_interface = gr.ChatInterface(
                    self.chatbot_respond,
                    additional_inputs=[
                        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
                        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
                        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
                        gr.Slider(
                            minimum=0.1,
                            maximum=1.0,
                            value=0.95,
                            step=0.05,
                            label="Top-p (nucleus sampling)",
                        ),
                    ]
                )
            
            with gr.Tab("Image Generation"):
                with gr.Row():
                    image_prompt = gr.Textbox(label="Enter Image Prompt")
                    generate_btn = gr.Button("Generate Image")
                
                image_output = gr.Image(label="Generated Image")
                
                generate_btn.click(
                    fn=self.generate_image, 
                    inputs=image_prompt, 
                    outputs=image_output
                )
                
                image_prompt.submit(
                    fn=self.generate_image, 
                    inputs=image_prompt, 
                    outputs=image_output
                )

        return demo

# Launch the combined interface
if __name__ == "__main__":
    companion = AICompanion()
    combined_demo = companion.create_interface()
    combined_demo.launch()