app.py

import gradio as gr
from openai import OpenAI
import os
from fpdf import FPDF
import docx

css = '''
.gradio-container{max-width: 890px !important}
h1{text-align:center}
footer {
    visibility: hidden
}
'''

ACCESS_TOKEN = os.getenv("HF_TOKEN")

client = OpenAI(
    base_url="https://api-inference.huggingface.co/v1/",
    api_key=ACCESS_TOKEN,
)

# Function to save generated text to a file
def save_file(content, filename, file_format):
    if file_format == "pdf":
        pdf = FPDF()
        pdf.add_page()
        pdf.set_auto_page_break(auto=True, margin=15)
        pdf.set_font("Arial", size=12)
        for line in content.split("\n"):
            pdf.multi_cell(0, 10, line)
        pdf.output(f"{filename}.pdf")
        return f"{filename}.pdf"
    elif file_format == "docx":
        doc = docx.Document()
        doc.add_paragraph(content)
        doc.save(f"{filename}.docx")
        return f"{filename}.docx"
    elif file_format == "txt":
        with open(f"{filename}.txt", "w") as f:
            f.write(content)
        return f"{filename}.txt"
    else:
        raise ValueError("Unsupported file format")

# Respond function with file saving
def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    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 client.chat.completions.create(
        model="meta-llama/Meta-Llama-3.1-70B-Instruct",
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
        messages=messages,
    ):
        token = message.choices[0].delta.content
        response += token
        yield response
    
    return response, history + [(message, response)]

# Function to handle file saving after generation
def save_generated_file(response, filename, file_format):
    saved_file = save_file(response, filename, file_format)
    return saved_file

# Gradio interface using Blocks
with gr.Blocks(css=css) as demo:
    system_message = gr.Textbox(value="", label="System message")
    max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
    temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
    top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P")
    filename = gr.Textbox(value="output", label="Filename")
    file_format = gr.Radio(["pdf", "docx", "txt"], label="File Format", value="pdf")

    message = gr.Textbox(label="User Message")
    chat_history = gr.State(value=[])
    response_output = gr.Textbox(label="Generated Response")
    file_output = gr.File(label="Download File")

    generate_button = gr.Button("Generate")
    save_button = gr.Button("Save to File")

    generate_button.click(
        respond,
        inputs=[message, chat_history, system_message, max_tokens, temperature, top_p],
        outputs=[response_output, chat_history]
    )

    save_button.click(
        save_generated_file,
        inputs=[response_output, filename, file_format],
        outputs=[file_output]
    )

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