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import uuid | |
import gradio as gr | |
import re | |
from diffusers.utils import load_image | |
import requests | |
from awesome_chat import chat_huggingface | |
all_messages = [] | |
OPENAI_KEY = "" | |
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_openai_key(openai_key): | |
global OPENAI_KEY | |
OPENAI_KEY = openai_key | |
return OPENAI_KEY | |
def add_text(messages, message): | |
if len(OPENAI_KEY) == 0 or not OPENAI_KEY.startswith("sk-"): | |
return messages, "Please set your OpenAI API key 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"): | |
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: | |
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: | |
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, "openai", "https://api.openai.com/v1/completions")["message"] | |
image_urls, audio_urls, video_urls = extract_medias(message) | |
add_message(message, "assistant") | |
messages[-1][1] = message | |
for image_url in image_urls: | |
if not image_url.startswith("http"): | |
image_url = image_url.replace("public/", "") | |
messages = messages + [((None, (f"public/{image_url}",)))] | |
for audio_url in audio_urls: | |
if not audio_url.startswith("http"): | |
audio_url = audio_url.replace("public/", "") | |
messages = messages + [((None, (f"public/{audio_url}",)))] | |
for video_url in video_urls: | |
if not video_url.startswith("http"): | |
video_url = video_url.replace("public/", "") | |
messages = messages + [((None, (f"public/{video_url}",)))] | |
return messages | |
with gr.Blocks() as demo: | |
gr.Markdown("<h2><center>HuggingSPACES (Dev)</center></h2>") | |
with gr.Row(): | |
openai_api_key = gr.Textbox( | |
show_label=False, | |
placeholder="Set your OpenAI API key here and press Enter", | |
lines=1, | |
type="password", | |
) | |
chatbot = gr.Chatbot([], elem_id="chatbot").style(height=500) | |
with gr.Row(): | |
txt = gr.Textbox( | |
show_label=False, | |
placeholder="Enter text and press enter. The url of the multimedia resource must contain the extension name.", | |
).style(container=False) | |
txt.submit(add_text, [chatbot, txt], [chatbot, txt]).then( | |
bot, chatbot, chatbot | |
) | |
openai_api_key.submit(set_openai_key, [openai_api_key], [openai_api_key]) | |
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() |