Update app.py

app.py

@@ -8,19 +8,17 @@ from llama_index import ServiceContext
 from llama_index.query_engine import RetrieverQueryEngine
 
 
-title = "Gaia Mistral Chat Demo"
-description = "Exemple d'assistant avec Gradio et Mistral AI via son API"
-placeholder = "Posez moi une question sur l'agriculture"
-placeholder_url = "Donner moi une url qui va servir de contexte agricole complémentaire"
+description = "Example of an assistant with Gradio and Mistral AI via its API"
+placeholder = "Ask a question"
+placeholder_url = "Extract text from this url"
 placeholder_api_key = "API key"
-examples = ["Comment fait on pour produire du maïs ?", "Rédige moi une lettre pour faire un stage dans une exploitation agricole", "Comment reprendre une exploitation agricole ?"]
 
 query_engine = None
 
 with gr.Blocks() as demo:
 
-    gr.Markdown(""" ### Welcome to Level 2 Demo 
-    Add an url and your API key at the bottom of the bottom before interacting with the Chat. This demo allows you to interact with a webpage and then ask questions to Mistral APIs. Mistral will answer with the context extracted from the webpage.   
+    gr.Markdown(""" ### Welcome to Gaia Level 2 Demo 
+    Add an URL and your API key at the bottom of the interface before interacting with the Chat. This demo allows you to interact with a webpage and then ask questions to Mistral APIs. Mistral will answer with the context extracted from the webpage.
     """)
     chatbot = gr.Chatbot()
     msg = gr.Textbox()