app.py

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

css = '''
.gradio-container{max-width: 1000px !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,
)

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-3.1-8B-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

def save_to_file(history, 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 user_message, assistant_message in history:
            pdf.multi_cell(0, 10, f"User: {user_message}")
            pdf.multi_cell(0, 10, f"Assistant: {assistant_message}")
        file_name = "chat_history.pdf"
        pdf.output(file_name)
        
    elif file_format == "DOCX":
        doc = Document()
        for user_message, assistant_message in history:
            doc.add_paragraph(f"User: {user_message}")
            doc.add_paragraph(f"Assistant: {assistant_message}")
        file_name = "chat_history.docx"
        doc.save(file_name)
        
    elif file_format == "TXT":
        file_name = "chat_history.txt"
        with open(file_name, "w") as file:
            for user_message, assistant_message in history:
                file.write(f"User: {user_message}\n")
                file.write(f"Assistant: {assistant_message}\n")
                
    return file_name

def save_conversation(history, file_format):
    file_name = save_to_file(history, file_format)
    return file_name

def save_and_download(history, file_format):
    file_name = save_conversation(history, file_format)
    return file_name

demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="", 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"),
        gr.Radio(["PDF", "DOCX", "TXT"], label="Save As"),
    ],
    css=css,
    theme="allenai/gradio-theme",
)

save_button = gr.Button("Save Conversation")
output_file = gr.File(label="Download File")

def handle_save(history, save_format):
    return save_conversation(history, save_format)

save_button.click(
    handle_save,
    inputs=[demo.history, demo.inputs[-1]],  # Passing history and format
    outputs=output_file
)

demo = gr.Blocks()

with demo:
    with gr.Column():
        demo.render()
        save_button.render()
        output_file.render()

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