Update app.py

app.py

@@ -1,15 +1,15 @@
-
 import os
 import gradio as gr
 from transformers import pipeline
-    # Initialize the model using the API key and Transformers pipeline
-    try:
-        model_name = "tiiuae/falcon-40b-instruct"  # Ensure this is the correct model name
-        nlp_model = pipeline('text-generation', model=model_name)
-        print("Model loaded successfully.")
-    except Exception as e:
-        nlp_model = None
-        print(f"Failed to load model: {str(e)}")
+
+# Initialize the model
+try:
+    model_name = "tiiuae/falcon-40b-instruct"  # Ensure this is the correct model name
+    nlp_model = pipeline('text-generation', model=model_name)
+    print("Model loaded successfully.")
+except Exception as e:
+    nlp_model = None
+    print(f"Failed to load model: {str(e)}")
 
 def generate_text(prompt):
     """Generate text based on the input prompt using the loaded NLP model."""
@@ -28,7 +28,7 @@ iface = gr.Interface(
     inputs=gr.Textbox(lines=2, placeholder="Enter your text here..."),
     outputs="text",
     title="Text Generation with Falcon Model",
-    description="Enter some text and see how the Falcon model continues it!"
+    description="Enter some text and see how the Falcon model continues it! This model automatically generates text based on the input provided. Try it out!"
 )
 
 # Essential for Hugging Face Spaces