Update app.py

app.py

@@ -1,18 +1,3 @@
-from transformers import pipeline
 import gradio as gr
-# Load the desired model using Hugging Face's model hub
-model = pipeline(model="philschmid/bart-large-cnn-samsum")
-def generate_text(input_text):
-    # Set the maximum response size to 100 characters
-    output = model(input_text, max_length=100, do_sample=True)
-    # Access the generated response
-    response = output[0]['summarized_text']
-    return response
 
-iface = gr.Interface(
-    fn=generate_text,
-    inputs=gr.inputs.Textbox("Input Text"),
-    outputs="text",
-    title="Text Generation App",
-    description="Enter an input text and get a generated response (limited to 100 characters)."
-)
+gr.Interface.load("models/philschmid/bart-large-cnn-samsum").launch()