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import gradio as gr
import os
from openai import OpenAI
with gr.Blocks() as demo:
with gr.Row():
image = gr.Image(label="image", height=600)
chatbot = gr.Chatbot()
prompt = gr.Textbox(label="prompt")
url = gr.Textbox(label="url")
openai_key = gr.Textbox(label="OpenAI API key")
gr.Examples(
examples=[
["https://huggingface.co/Adapter/t2iadapter/resolve/main/figs_SDXLV1.0/org_sketch.png", "Describe what is in the image","https://huggingface.co/Adapter/t2iadapter/resolve/main/figs_SDXLV1.0/org_sketch.png"]
],
inputs=[image, prompt,url],
)
def respond(message,openai_key, url ,chat_history):
os.environ["OPENAI_API_KEY"] = openai_key
client = OpenAI()
response = client.chat.completions.create(
model="gpt-4-vision-preview",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": message},
{
"type": "image_url",
"image_url":url,
},
],
},
],
max_tokens=1000,
)
out = response.choices[0].message.content
chat_history.append((message, out))
return "", chat_history
def update_image(url, image):
return url
prompt.submit(respond, [prompt,openai_key, url, chatbot], [prompt, chatbot])
url.submit(update_image, [ url, image], [image])
demo.queue().launch(share=True) |