update title

app.py

@@ -51,7 +51,10 @@ def biogpt(
     if base_lang == "English":
         base_lang_output = output_text
         
-    base_lang_output = translate(lang_model_id, output_text, "en", lang_ids[base_lang])[0]
+    else: 
+        base_lang_output = translate(lang_model_id, output_text, "en", lang_ids[base_lang])[0]
+        for i in range(num_return_sequences):
+            base_lang_output += f'{output_dict[str(i+1)]}\n\n'
     
     return en_prompt, output_text, base_lang_output
 
@@ -76,7 +79,8 @@ examples = [
     ["Kanser", "microsoft/biogpt", 25, 2, "Turkish", "facebook/m2m100_1.2B"]
 ]
 
-title = " BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining"
+title = "M2M100 + BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining"
+
 description = "BioGPT is a domain-specific generative pre-trained Transformer language model for biomedical text generation and mining. BioGPT follows the Transformer language model backbone, and is pre-trained on 15M PubMed abstracts from scratch. Github: github.com/microsoft/BioGPT Paper: https://arxiv.org/abs/2210.10341" 
 
 demo_app = gr.Interface(