Update app.py

app.py

@@ -3,12 +3,7 @@ from langchain import PromptTemplate, LLMChain
 from langchain_huggingface import HuggingFacePipeline, HuggingFaceEndpoint
 from transformers import pipeline
 import os
-
-
-# Authenticate with Hugging Face
 os.environ["HUGGINGFACEHUB_API_TOKEN"]
-
-# Load the LLM
 pipe = pipeline(
     'text2text-generation',
     model='google/flan-t5-small',
@@ -17,26 +12,21 @@ pipe = pipeline(
     temperature=0.9
 )
 llm = HuggingFacePipeline(pipeline=pipe)
-
-# Define the prompt template
 prompt_template = """AI assistant. I am always here to help.
 User: {question}
 Assistant:"""
 prompt = PromptTemplate(template=prompt_template, input_variables=["question"])
-
-# Create the LLM chain
 chain = LLMChain(llm=llm, prompt=prompt)
-
-# Define the Gradio function
 def chatbot(question):
     response = chain.run(question)
     return response
 
-# Create the Gradio interface
 demo = gr.Interface(
     fn=chatbot,
     inputs=gr.Textbox(lines=2, label="Question"),
-    outputs=gr.Textbox(label="Answer")
+    outputs=gr.Textbox(label="Answer"),
+    title="Chatbot",
+    description="Helpful AI Assistant!!"
 )
 
 # Launch the interface