Update app.py

app.py

@@ -41,6 +41,7 @@ interface = gr.Interface(fn = predict,
             article = """<center><Strong><font size="5em">Functionality and further development of the demo</font></strong></center> 
             This demo is based on a sentence-transformer <a href="https://huggingface.co/gart-labor/eng-distilBERT-se-eclass">language model</a>, which is trained on a ECLASS specific <a href="https://huggingface.co/datasets/gart-labor/eclassTrainST">dataset</a>. This dataset consists of manually generated paraphrases of ECLASS pump properties. During Training the language model learns to map these paraphrases to the eclass pump properties. In future work, this approach can be extended to additional ECLASS properties (e.g. heating systems, ventilation, etc.) and thus a general language model can be trained. To reduce the manual effort, the integration of chatGPT is suitable for the automated creation of the paraphrases required for training.
             <br>
+            <br>
             <center><img src='https://imagizer.imageshack.com/img923/6324/WOXHiX.png' width=900p></center>""")
     
 interface.launch()