Update app.py

app.py

@@ -29,6 +29,7 @@ MODEL_NAME = "gpt-4"
 
 def invoke(openai_api_key, youtube_url, process_video, prompt):
     openai.api_key = openai_api_key
+    print(process_video)
     if (process_video):
         loader = GenericLoader(YoutubeAudioLoader([youtube_url], YOUTUBE_DIR), OpenAIWhisperParser())
         docs = loader.load()
@@ -48,7 +49,8 @@ description = """<strong>Overview:</strong> The app demonstrates how to use a <s
                  <strong>Instructions:</strong> Enter an OpenAI API key, YouTube URL, and prompt to perform semantic search, sentiment analysis, summarization, 
                  translation, etc. "Process Video" specifies whether or not to perform speech-to-text processing. To ask multiple questions related to the same video, 
                  typically set it to "True" the first time and then to "False". Note that persistence is not guaranteed in the Hugging Face free tier 
-                 (the plan is to migrate to AWS S3).\n\n
+                 (the plan is to migrate to AWS S3). The example is a 3:12 min. video about GPT-4 and takes about 20 sec. to process. Try different prompts, for example 
+                 "what is gpt-4, answer in german" or "write a poem about gpt-4".\n\n
                  <strong>Technology:</strong> <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API 
                  via AI-first <a href='https://www.langchain.com/'>LangChain</a> toolkit with <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) foundation models as well as AI-native 
@@ -56,7 +58,7 @@ description = """<strong>Overview:</strong> The app demonstrates how to use a <s
 
 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=--khbXchTeE", lines = 1), gr.Radio([True, False], label="Process Video", value = True), gr.Textbox(label = "Prompt", value = "What is GPT-4", 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=--khbXchTeE", lines = 1), gr.Radio([True, False], label="Process Video", value = True), gr.Textbox(label = "Prompt", value = "what is gpt-4", lines = 1)],
                     outputs = [gr.Textbox(label = "Completion", lines = 1)],
                     title = "Generative AI - LLM & RAG",
                     description = description)