from huggingface_hub import InferenceClient
import gradio as gr

client = InferenceClient(
    "mistralai/Mixtral-8x7B-Instruct-v0.1"
)

def format_prompt(message, history):
    prompt = "<s>"
    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    prompt += f"[INST] {message} [/INST]"
    return prompt

def generate(
    prompt, history, system_prompt, temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0,
):
    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    # Check if the history is empty. If so, prepend the system prompt.
    if not history:
        formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
    else:
        formatted_prompt = format_prompt(prompt, history)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    for response in stream:
        output += response.token.text
        yield output
    return output

additional_inputs=[
    gr.Textbox(
        label="System Prompt",
        max_lines=1,
        interactive=True,
    )
]

examples=[
    ["Patient is feeling stressed due to work and has trouble sleeping.", None, None, None, None, None],
    ["Client is dealing with relationship issues and is seeking advice on communication strategies.", None, None, None, None, None],
    ["Individual has recently experienced a loss and is having difficulty coping with grief.", None, None, None, None, None],
]

gr.ChatInterface(
    fn=generate,
    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
    additional_inputs=additional_inputs,
    title="PsyAssist - ADVANCING MENTAL HEALTH SUPPORT WITH AI-DRIVEN INTERACTION",
    examples=examples,
    concurrency_limit=20,
).launch(show_api=False)