from huggingface_hub import InferenceClient
import gradio as gr
from fpdf import FPDF
from docx import Document
import os

css = '''
.gradio-container{max-width: 1000px !important}
h1{text-align:center}
footer {
    visibility: hidden
}
'''

client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")

def format_prompt(message, history, system_prompt=None):
    prompt = "<s>"
    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    if system_prompt:
        prompt += f"[SYS] {system_prompt} [/SYS]"
    prompt += f"[INST] {message} [/INST]"
    return prompt

def save_to_file(content, filename, format):
    try:
        if format == "pdf":
            pdf = FPDF()
            pdf.add_page()
            pdf.set_auto_page_break(auto=True, margin=15)
            pdf.set_font("Arial", size=12)
            pdf.multi_cell(0, 10, content)
            pdf.output(f"{filename}.pdf")
        elif format == "docx":
            doc = Document()
            doc.add_paragraph(content)
            doc.save(f"{filename}.docx")
        elif format == "txt":
            with open(f"{filename}.txt", 'w') as file:
                file.write(content)
        return f"File saved successfully as {filename}.{format}"
    except Exception as e:
        return f"Error saving file: {str(e)}"

def generate(
    prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
    save_format="txt", save_file=None
):
    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,
    )

    formatted_prompt = format_prompt(prompt, history, system_prompt)

    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
    
    if save_file:
        # Ensure filename is valid and doesn't contain invalid characters
        save_file = save_file.strip().replace(' ', '_')
        save_message = save_to_file(output, save_file, save_format)
        yield f"{output}\n\n{save_message}"

with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
    gr.Markdown("# GRAB DOC")
    prompt = gr.Textbox(label="Prompt", placeholder="Enter your text here...", lines=4)
    history = gr.State([])
    system_prompt = gr.Textbox(label="System Prompt", placeholder="Enter system instructions (optional)...", lines=2, visible=False)
    temperature = gr.Slider(label="Temperature", minimum=0.1, maximum=1.0, step=0.1, value=0.2)
    max_new_tokens = gr.Slider(label="Max New Tokens", minimum=1, maximum=1024, step=1, value=1024)
    top_p = gr.Slider(label="Top P", minimum=0.0, maximum=1.0, step=0.05, value=0.95)
    repetition_penalty = gr.Slider(label="Repetition Penalty", minimum=0.0, maximum=2.0, step=0.1, value=1.0)
    save_format = gr.Dropdown(label="Save Format", choices=["txt", "pdf", "docx"], value="txt")
    save_file = gr.Textbox(label="Save File Name", placeholder="Enter the filename (without extension)...", lines=1)
    
    submit = gr.Button("Generate")
    output = gr.Textbox(label="Generated Output", lines=20)
    
    submit.click(
        generate, 
        inputs=[prompt, history, system_prompt, temperature, max_new_tokens, top_p, repetition_penalty, save_format, save_file], 
        outputs=output
    )

demo.queue().launch(show_api=False)