Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the BART model for summarization
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Function to summarize text based on the min and max length
+def summarize_text(text, min_length, max_length):
+    # Summarize the input text with the specified min and max length
+    summary = summarizer(text, min_length=min_length, max_length=max_length)
+    return summary[0]['summary_text']
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=summarize_text,  # Function to call for summarization
+    inputs=[
+        gr.Textbox(label="Enter Text", placeholder="Type or paste a long text here...", lines=10),
+        gr.Slider(minimum=10, maximum=50, step=1, label="Minimum Length", value=10),
+        gr.Slider(minimum=50, maximum=150, step=1, label="Maximum Length", value=100),
+    ],
+    outputs=gr.Textbox(label="Summarized Text"),
+    live=False,  # Disable live preview while typing
+    description="Text Summarization using BART model. Set minimum and maximum token lengths for the summary."
+)
+
+# Launch the interface
+iface.launch()