Update app.py

app.py

@@ -16,8 +16,8 @@ _ = 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. 
+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\n🔥 Thanks 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)
@@ -42,11 +42,12 @@ description = """The app demonstrates how to use a <strong>Large Language Model<
                  Enter an OpenAI API key, YouTube URL (external data), and prompt to search the video, analyse its sentiment, summarize it, and/or translate it, etc.\n\n
                  Implementation: <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API 
                  via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a> with foundation models 
-                 <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases)."""
+                 <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases) 
+                 and <a href='https://www.trychroma.com/'>Chroma</a> vector database."""
 
 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=GJm7H9IP5SU", 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 into English", lines = 1)],
                     outputs = [gr.Textbox(label = "Completion", lines = 1)],
                     title = "Generative AI - LLM & RAG",
                     description = description)