Update app.py

app.py

@@ -40,6 +40,8 @@ interface = gr.Interface(fn = predict,
             description = "This is a semantic search algorithm that mapps unknown pump properties to the ECLASS standard. It is created by the GART-labortory ot the cologne university of applied science for the use case of semantic interoperable asset administration shells.", 
             article = """<center><Strong><font size="5em">Functionality and further development of the demo</font></strong> 
             <br>
+            This demo is based on a sentence-transformer [language model](https://huggingface.co/gart-labor/eng-distilBERT-se-eclass), which is trained on a ECLASS specific [dataset](https://huggingface.co/datasets/gart-labor/eclassTrainST). 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>
             <img src='https://imagizer.imageshack.com/img923/6324/WOXHiX.png' width=900p></center>""")