run.py

import gradio as gr
import time

# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.


def print_like_dislike(x: gr.LikeData):
    print(x.index, x.value, x.liked)


def add_message(history, message):
    user_msg = {"role": "user", "content": []}
    for x in message["files"]:  # type: ignore
        user_msg["content"].append({"path": x})  # type: ignore
    if message["text"] is not None:  # type: ignore
       user_msg["content"].append(message["text"])  # type: ignore
    history.append(user_msg)
    return history, gr.MultimodalTextbox(value=None, interactive=False)


def bot(history: list):
    response = "**That's cool!**"
    history.append({"role": "assistant", "content": ""})
    for character in response:
        history[-1]["content"] += character
        time.sleep(0.05)
        yield history


with gr.Blocks() as demo:
    chatbot = gr.Chatbot(elem_id="chatbot", like_user_message=True)

    chat_input = gr.MultimodalTextbox(
        interactive=True,
        file_count="multiple",
        placeholder="Enter message or upload file...",
        show_label=False,
        sources=["microphone", "upload"],
    )

    chat_msg = chat_input.submit(
        add_message, [chatbot, chat_input], [chatbot, chat_input]
    )
    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])

    chatbot.like(print_like_dislike, None, None)

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