Update app.py

app.py

@@ -97,8 +97,9 @@ description = '''
 #### [IMAG Lab](https://imag-njust.net/), Nanjing University of Science and Technology
 
  
-<img width="800" src="/assets/smfanet_arch.png">
-### Network architecture of the proposed SMFANet. The proposed s SMFANet consists of a shallow feature extraction module, feature modulation blocks, and a lightweight image reconstruction module. Feature modulation block contains one self-modulation feature aggregation (SMFA) module and one partial convolution-based feed-forward network (PCFN).*
+
+<center><img src='assets/smfanet_arch.png'></center>
+###  Network architecture of the proposed SMFANet. The proposed s SMFANet consists of a shallow feature extraction module, feature modulation blocks, and a lightweight image reconstruction module. Feature modulation block contains one self-modulation feature aggregation (SMFA) module and one partial convolution-based feed-forward network (PCFN).*
 
 ####  Drag the slider on the super-resolution image left and right to see the changes in the image details. SeemoRe performs x4 upscaling on the input image.