app.py

import uuid
import gradio as gr
import re
from diffusers.utils import load_image
import requests
from awesome_chat import chat_huggingface
from awesome_chat import set_huggingface_token, get_huggingface_token
import os

all_messages = []
OPENAI_KEY = ""

os.makedirs("public/images", exist_ok=True)
os.makedirs("public/audios", exist_ok=True)
os.makedirs("public/videos", exist_ok=True)

def add_message(content, role):
    message = {"role":role, "content":content}
    all_messages.append(message)

def extract_medias(message):
    image_pattern = re.compile(r"(http(s?):|\/)?([\.\/_\w:-])*?\.(jpg|jpeg|tiff|gif|png)")
    image_urls = []
    for match in image_pattern.finditer(message):
        if match.group(0) not in image_urls:
            image_urls.append(match.group(0))

    audio_pattern = re.compile(r"(http(s?):|\/)?([\.\/_\w:-])*?\.(flac|wav)")
    audio_urls = []
    for match in audio_pattern.finditer(message):
        if match.group(0) not in audio_urls:
            audio_urls.append(match.group(0))

    video_pattern = re.compile(r"(http(s?):|\/)?([\.\/_\w:-])*?\.(mp4)")
    video_urls = []
    for match in video_pattern.finditer(message):
        if match.group(0) not in video_urls:
            video_urls.append(match.group(0))

    return image_urls, audio_urls, video_urls

def set_key(openai_key):
    global OPENAI_KEY
    OPENAI_KEY = openai_key
    return OPENAI_KEY

def set_token(huggingface_token):
    set_huggingface_token(huggingface_token)
    return huggingface_token

def add_text(messages, message):
    if len(OPENAI_KEY) == 0 or not OPENAI_KEY.startswith("sk-"):
        return messages, "Please set your OpenAI API key or Hugging Face token first!!!"
    add_message(message, "user")
    messages = messages + [(message, None)]
    image_urls, audio_urls, video_urls = extract_medias(message)

    for image_url in image_urls:
        if not image_url.startswith("http") and not image_url.startswith("public"):
            image_url = "public/" + image_url
        image = load_image(image_url)
        name = f"public/images/{str(uuid.uuid4())[:4]}.jpg" 
        image.save(name)
        messages = messages + [((f"{name}",), None)]
    for audio_url in audio_urls and not audio_url.startswith("public"):
        if not audio_url.startswith("http"):
            audio_url = "public/" + audio_url
        ext = audio_url.split(".")[-1]
        name = f"public/audios/{str(uuid.uuid4()[:4])}.{ext}"
        response = requests.get(audio_url)
        with open(name, "wb") as f:
            f.write(response.content)
        messages = messages + [((f"{name}",), None)]
    for video_url in video_urls and not video_url.startswith("public"):
        if not video_url.startswith("http"):
            video_url = "public/" + video_url
        ext = video_url.split(".")[-1]
        name = f"public/audios/{str(uuid.uuid4()[:4])}.{ext}"
        response = requests.get(video_url)
        with open(name, "wb") as f:
            f.write(response.content)
        messages = messages + [((f"{name}",), None)]
    return messages, ""

def bot(messages):
    if len(OPENAI_KEY) == 0 or not OPENAI_KEY.startswith("sk-"):
        return messages
    message = chat_huggingface(all_messages, OPENAI_KEY)["message"]
    image_urls, audio_urls, video_urls = extract_medias(message)
    add_message(message, "assistant")
    messages[-1][1] = message
    for image_url in image_urls:
        image_url = image_url.replace("public/", "")
        messages = messages + [((None, (f"public/{image_url}",)))]
    for audio_url in audio_urls:
        audio_url = audio_url.replace("public/", "")
        messages = messages + [((None, (f"public/{audio_url}",)))]
    for video_url in video_urls:
        video_url = video_url.replace("public/", "")
        messages = messages + [((None, (f"public/{video_url}",)))]
    return messages

with gr.Blocks() as demo:
    gr.Markdown("<h1><center>HuggingGPT</center></h1>")
    gr.Markdown("<p align='center'><img src='https://i.ibb.co/qNH3Jym/logo.png' height='25' width='95'></p>")
    gr.Markdown("<p align='center' style='font-size: 20px;'>A system to connect LLMs with ML community. See our <a href='https://github.com/microsoft/JARVIS'>Project</a> and <a href='http://arxiv.org/abs/2303.17580'>Paper</a>.</p>")
    with gr.Row().style():
        with gr.Column(scale=0.85):
            openai_api_key = gr.Textbox(
                show_label=False,
                placeholder="Set your OpenAI API key here and press Enter",
                lines=1
            ).style(container=False)
        with gr.Column(scale=0.15, min_width=0):
            btn1 = gr.Button("Submit").style(full_height=True)

    with gr.Row().style():
        with gr.Column(scale=0.85):
            hugging_face_token = gr.Textbox(
                show_label=False,
                placeholder="Set your Hugging Face Token here and press Enter",
                lines=1
            ).style(container=False)
        with gr.Column(scale=0.15, min_width=0):
            btn3 = gr.Button("Submit").style(full_height=True)

    chatbot = gr.Chatbot([], elem_id="chatbot").style(height=500)

    with gr.Row().style():
        with gr.Column(scale=0.85):
            txt = gr.Textbox(
                show_label=False,
                placeholder="Enter text and press enter. The url of the multimedia resource must contain the extension name.",
                lines=1,
            ).style(container=False)
        with gr.Column(scale=0.15, min_width=0):
            btn2 = gr.Button("Send").style(full_height=True)

    openai_api_key.submit(set_key, [openai_api_key], [openai_api_key])
    txt.submit(add_text, [chatbot, txt], [chatbot, txt]).then(bot, chatbot, chatbot)
    hugging_face_token.submit(set_token, [hugging_face_token], [hugging_face_token])
    btn1.click(set_key, [openai_api_key], [openai_api_key])
    btn2.click(add_text, [chatbot, txt], [chatbot, txt]).then(bot, chatbot, chatbot)
    btn3.click(set_token, [hugging_face_token], [hugging_face_token])

    gr.Examples(
        examples=["Given a collection of image A: /examples/a.jpg, B: /examples/b.jpg, C: /examples/c.jpg, please tell me how many zebras in these picture?",
                "Please generate a canny image based on /examples/f.jpg",
                "show me a joke and an image of cat",
                "what is in the examples/a.jpg",
                "generate a video and audio about a dog is running on the grass",
                "based on the /examples/a.jpg, please generate a video and audio",
                "based on pose of /examples/d.jpg and content of /examples/e.jpg, please show me a new image",
                ],
        inputs=txt
    )

demo.launch()