import gradio as gr
# from huggingface_hub import InferenceClient
from transformers import pipeline

"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
# requires space hardware update to use large models (TODO)
# client = InferenceClient("mistralai/Mistral-Large-Instruct-2407")
# Note change in instantiation***
text_generator = pipeline("text-generation", model="google/gemma-2-2b")

def authenticate_and_generate(token, message, history, system_message, max_tokens, temperature, top_p):
    # Initialize the text-generation pipeline with the provided token
    text_generator = pipeline("text-generation", model="google/gemma-2-2b", use_auth_token=token)
    
    # Construct the prompt with system message, history, and user input
    prompt = system_message + "\n" + "\n".join([f"User: {msg[0]}\nAssistant: {msg[1]}" for msg in history if msg[0] and msg[1]])
    prompt += f"\nUser: {message}\nAssistant:"

    # Generate a response using the model
    response = text_generator(prompt, max_length=max_tokens, temperature=temperature, top_p=top_p, do_sample=True, truncation=True)

    # Extract the generated text from the response list
    assistant_response = response[0]['generated_text']
    # Optionally trim the assistant response if it includes the prompt again
    assistant_response = assistant_response.split("Assistant:", 1)[-1].strip()
    return assistant_response

"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
athena = gr.ChatInterface(
    fn=authenticate_and_generate,
    additional_inputs=[
        gr.Textbox(
            label="Hugging Face API Token",
            type="password",
            placeholder="Please provide a Hugging Face auth token.",
            lines=1,
            max_lines=1
        ),
        gr.Textbox(value=
                   """
                   You are a marketing-minded content writer for Plan.com (a UK telecommunications company).
                   You will be provided a bullet-point list of guidelines from which to generate an article to be published in the company News section of the website. 
                   Please follow these guidelines:
                   - Always speak using British English expressions, syntax, and spelling.
                   - Make the articles engaging and fun, but also professional and informative.
                   To provide relevant contextual information about the company, please source information from the following websites:
                   - https://plan.com/our-story
                   - https://plan.com/products-services
                   - https://plan.com/features/productivity-and-performance
                   - https://plan.com/features/security-and-connectivity
                   - https://plan.com/features/connectivity-and-cost
                   """, 
                   label="System message"),
        gr.Slider(minimum=1, maximum=4096, 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)",
        ),
    ],
)

if __name__ == "__main__":
    athena.launch()