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import gradio as gr
import base64
import requests
import os
import json
MAINTENANCE_NOTICE1 = 'Hint 1: If the app report "Something went wrong, connection error out", please turn off your proxy and retry.\nHint 2: If you upload a large size of image like 10MB, it may take some time to upload and process. Please be patient and wait.'
default_chatbox = []
NOTES = 'This app is adapted from <a href="https://modelscope.cn/models/Fengshenbang/Ziya-Visual-Lyrics-14B">https://modelscope.cn/models/Fengshenbang/Ziya-Visual-Lyrics-14B</a>. It would be recommended to check out the repo if you want to see the detail of our model. And most of the codes attach to this demo are modify from <a href="https://arxiv.org/abs/2312.05278">Lyrics</a>.'
def post(
input_text,
image_path,
temperature,
top_p,
result_previous,
hidden_image
):
# 服务的URL
with open(image_path,'rb') as f:
image_prompt = base64.b64encode(f.read())
service_url = os.getenv('URL_PATH')
# 准备请求数据
data = {
'image_strs': image_prompt,
'prompt': input_text
}
# 发送请求
print("In the fn")
response = requests.post(service_url, data=data)
print(response.json())
result_text = []
result_text.append((input_text, response.json()))
print(result_text)
return "", result_text, None
def clear_fn(value):
return "", default_chatbox, None
def clear_fn2(value):
return default_chatbox
def io_fn(a, b, c):
print(f"call io_fn")
return a, b
gr.close_all()
examples = []
with open("./examples/example_inputs.jsonl") as f:
for line in f:
data = json.loads(line)
examples.append(data)
def main():
with gr.Blocks(css='style.css') as demo:
with gr.Row():
with gr.Column(scale=4.5):
with gr.Group():
input_text = gr.Textbox(label='Input Text', placeholder='Please enter text prompt below and press ENTER.')
with gr.Row():
run_button = gr.Button('Generate')
clear_button = gr.Button('Clear')
img_path = gr.Image(type="filepath", label="Image Prompt", value=None)
with gr.Row():
temperature = gr.Slider(maximum=1, value=0.7, minimum=0, label='Temperature')
top_p = gr.Slider(maximum=1, value=0.1, minimum=0, label='Top P')
with gr.Group():
with gr.Row():
with gr.Column(scale=7):
maintenance_notice = gr.Markdown(MAINTENANCE_NOTICE1)
with gr.Column(scale=2):
change_button = gr.Button('Change hint to English', visible=False)
with gr.Column(scale=5.5):
result_text = gr.Chatbot(label='Multi-round conversation History', value=[])
hidden_image_hash = gr.Textbox(visible=False)
gr_examples = gr.Examples(examples=[[example["text"], example["image"]] for example in examples],
inputs=[input_text, img_path],
label="Example Inputs (Click to insert an examplet into the input box)",
examples_per_page=3)
print(gr.__version__)
run_button.click(fn=post,inputs=[input_text, img_path, temperature, top_p, result_text, hidden_image_hash],
outputs=[input_text, result_text, hidden_image_hash])
input_text.submit(fn=post,inputs=[input_text, img_path, temperature, top_p, result_text, hidden_image_hash],
outputs=[input_text, result_text, hidden_image_hash])
clear_button.click(fn=clear_fn, inputs=clear_button, outputs=[input_text, result_text, img_path])
img_path.upload(fn=clear_fn2, inputs=clear_button, outputs=[result_text])
img_path.clear(fn=clear_fn2, inputs=clear_button, outputs=[result_text])
demo.launch(server_name="0.0.0.0")
if __name__ == '__main__':
print('start service')
os.system("pip uninstall -y gradio")
os.system("pip install gradio==3.29.0")
print(gr.__version__)
main()
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