Update app.py

app.py

@@ -96,15 +96,14 @@ description = '''
 
 #### [IMAG Lab](https://imag-njust.net/), Nanjing University of Science and Technology
 
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 <p align="center">
-  <img width="800" src="assets/smfanet_arch.png">
+  <img width="800" src="/assets/smfanet_arch.png">
 </p>
-***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).*
+###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.
-<br>
 
+<br>
 <code>
 @inproceedings{smfanet,
     title={SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution},