Update app.py

app.py

@@ -58,21 +58,21 @@ def classify(sequence):
     return "Potential Allergen" if pred.item() == 1 else "Non-Allergen"
 
 description_md = """
-## 📌 **About AllerTrans – A Powerful Tool for Predicting the Allergenicity of Protein Sequences**
+## **About AllerTrans – A Powerful Tool for Predicting the Allergenicity of Protein Sequences**
 
-**🧬 Input Format – FASTA Sequences:** This tool accepts protein sequences in FASTA format. 
+** Input Format – FASTA Sequences:** This tool accepts protein sequences in FASTA format. 
 
 ###### Please provide a single protein sequence at a time.
 ###### For faster predictions, you can enter just the protein sequence, without the FASTA header or any additional information.
 
-**🧾 Output Explanation** – AllerTrans classifies your input sequence into one of the following categories:
+** Output Explanation** – AllerTrans classifies your input sequence into one of the following categories:
 ###### **🟢 Non-Allergen:** The protein is unlikely to cause an allergic reaction and can be considered safe regarding allergenicity.
 ###### **🔴 Potential Allergen:** The protein has the potential to trigger an allergic response or exhibit cross-reactivity in some individuals.
 
-**🔎 Caution & Disclaimer:**
+** Caution & Disclaimer:**
 ###### Our model has demonstrated promising performance on the AlgPred 2.0 validation set, which includes a wide range of allergenic and non-allergenic sequences from diverse sources. AllerTrans is also capable of handling recombinant proteins, as supported by additional evaluation using a recombinant protein dataset from UniProt. However, **we advise caution when using this tool on all constructs and modifications of recombinant proteins**. The model's generalizability across various recombinant scenarios has yet to be fully explored.
 
-###### 🚨 Remember, AllerTrans is designed as a reliable screening tool. However, for clinical or regulatory decisions, always confirm the prediction results through experimental validation.
+###### Remember, AllerTrans is designed as a reliable screening tool. However, for clinical or regulatory decisions, always confirm the prediction results through experimental validation.
 """ 
 
 demo = gr.Interface(fn=classify,