Update app.py

app.py

@@ -17,8 +17,8 @@ _ = load_dotenv(find_dotenv())
 #openai.api_key = os.environ["OPENAI_API_KEY"]
 
 template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, 
-              don't try to make up an answer. Keep the answer as concise as possible. Always say "\n\nThanks for using the app, Bernd Straehle 🚀" at the end of the answer. 
-            {context} Question: {question} Helpful Answer: """
+              don't try to make up an answer. Keep the answer as concise as possible. Always say "\n\nThanks for using the app, Bernd Straehle 🔥" at the end of the answer. 
+              {context} Question: {question} Helpful Answer: """
 
 QA_CHAIN_PROMPT = PromptTemplate(input_variables = ["context", "question"], template = template)
 
@@ -46,7 +46,7 @@ description = """The app demonstrates how to use a <strong>Large Language Model<
 
 gr.close_all()
 demo = gr.Interface(fn=invoke, 
-                    inputs = [gr.Textbox(label = "OpenAI API Key", value = "sk-", lines = 1), gr.Textbox(label = "YouTube URL", value = "https://www.youtube.com/watch?v=oB3j23X-JuI", lines = 1), gr.Textbox(label = "Prompt", value = "Translate song into English", lines = 1)],
+                    inputs = [gr.Textbox(label = "OpenAI API Key", value = "sk-", lines = 1), gr.Textbox(label = "YouTube URL", value = "https://www.youtube.com/watch?v=GJm7H9IP5SU", lines = 1), gr.Textbox(label = "Prompt", value = "Translate song into English", lines = 1)],
                     outputs = [gr.Textbox(label = "Completion", lines = 1)],
                     title = "Generative AI - LLM & RAG",
                     description = description)