Update app.py

app.py

@@ -1,10 +1,21 @@
+# app.py
 import gradio as gr
+from transformers import pipeline
 
-with gr.Blocks(fill_height=True) as demo:
-    with gr.Sidebar():
-        gr.Markdown("# Inference Provider")
-        gr.Markdown("This Space showcases the Falconsai/text_summarization model, served by the hf-inference API. Sign in with your Hugging Face account to use this API.")
-        button = gr.LoginButton("Sign in")
-    gr.load("models/Falconsai/text_summarization", accept_token=button, provider="hf-inference")
-    
-demo.launch()
+# Choose model (either one of the two below)
+model_name = "Falconsai/text_summarization"  # or "facebook/bart-large-cnn"
+summarizer = pipeline("summarization", model=model_name)
+
+def summarize(text):
+    summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
+    return summary[0]["summary_text"]
+
+iface = gr.Interface(
+    fn=summarize,
+    inputs=gr.Textbox(lines=10, placeholder="Enter long text here..."),
+    outputs=gr.Textbox(label="Summary"),
+    allow_flagging="never",
+    title="Text Summarizer"
+)
+
+iface.launch()