app_mnnsr.py

import gradio as gr
import os
import MNN
import numpy as np
import cv2
from PIL import Image
from mnnsr import modelTest_for_gradio

def gradio_interface(modelPath, input_image):
    processed_image_np, load_time, infer_time = modelTest_for_gradio(modelPath, input_image)
    processed_image_pil = Image.fromarray(cv2.cvtColor(processed_image_np, cv2.COLOR_BGR2RGB))
    return processed_image_pil

# 创建Gradio界面
iface = gr.Interface(
    fn=gradio_interface,
    # inputs=gr.Image(type="pil", label="上传图像"),
    inputs = [gr.File(label="上传MNN模型"), gr.Image(type="filepath", label="上传图像",value="./sample.jpg")],
    outputs=gr.Image(type="pil", label="处理后的图像"),
    title="MNN图像超分辨率处理",
    description="上传图像，使用MNN模型进行超分辨率处理"
)

if __name__ == "__main__":
    # 启动Gradio界面
    iface.launch()