Update app.py

app.py

@@ -91,10 +91,10 @@ index_name = "resume-demo"
 queries = [["Which masters degree Dmytro Kisil has?"],
            ["Which amount of salary does Dmytro Kisil is looking for?"],
            ["How long does Dmytro Kisil looking for a job?"],
-           ["Why Dmytro Kisil moved to Netherlands?"],
+           ["Why Dmytro Kisil moved to the Netherlands?"],
            ["When Dmytro Kisil left Ukraine?"],
            ["Where Dmytro Kisil live now?"],
-           ["How much years of working experience in total Dmytro Kisil has?"],
+           ["How many years of working experience in total does Dmytro Kisil have?"],
            ["How fast Dmytro Kisil can start working for my company?"]]
 
 embed = HuggingFaceBgeEmbeddings(model_name='BAAI/bge-small-en-v1.5')
@@ -116,7 +116,7 @@ with gr.Blocks() as demo:
         with gr.Row():
             gr.Markdown("[Resume]('https://drive.google.com/file/d/1OejkWuQKcjP73_uH6sfnj9u4hfmXQ-Oy/view?usp=sharing')")
             gr.Markdown("[LinkedIn]('https://www.linkedin.com/in/dmytro-kisil/')")
-            gr.Markdown("[Another GenAI project]('https://sdloraandroidtoy.streamlit.app/')")
+            gr.Markdown("[HuggingFace profile]('https://huggingface.co/Oysiyl')")
     with gr.Column():
         chatbot = gr.Chatbot()
         with gr.Row():
@@ -144,7 +144,7 @@ with gr.Blocks() as demo:
             maximum=8192,
             step=64,
             interactive=True,
-            info="The maximum numbers of new tokens",
+            info="The maximum number of new tokens",
         )
         top_p = gr.Slider(
             label="Top-p (nucleus sampling)",