Update app.py

app.py

@@ -7,6 +7,12 @@ token = os.getenv("HF_TOKEN", None)
 headers = {"Authorization": f"Bearer {token}"}
 API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
 
+
+# Title and description for this particular project
+st.title("Large Language Model using Inference API")
+st.write("This project will show how Inference API and Bart LLM uses text summarization.")
+st.write("It is very simple implementation, and other models can be used.")
+
 # Function to query the Hugging Face model
 def query(payload):
     response = requests.post(API_URL, headers=headers, json=payload)
@@ -14,12 +20,11 @@ def query(payload):
 
 
 
-# Input textbox
+# Input textbox to introduce prompt
 user_input = st.text_input("You:", "")
 
 
-
-# Submit button
+# Submit button to run the inference API
 if st.button("Send"):
     if user_input.strip() != "":
         # Query Hugging Face model
@@ -35,10 +40,9 @@ if st.button("Send"):
 
 
 
-# Title and description
-st.title("Large Language Model Chat API")
 
-'''
+
+
 # Model selection
 model = st.radio(
     "Model",
@@ -56,6 +60,7 @@ model = st.radio(
 # Input textbox
 input_text = st.text_input(label="Type an input and press Enter", placeholder="What is Deep Learning?")
 
+'''
 # Parameters
 with st.expander("Parameters", expanded=False):
     typical_p = st.slider("Typical P mass", min_value=0.0, max_value=1.0, value=0.2, step=0.05)