Add application file

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Load the model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("mynkchaudhry/Summarization-Pro")
+model = AutoModelForSeq2SeqLM.from_pretrained("mynkchaudhry/Summarization-Pro")
+
+def summarize(text):
+    inputs = tokenizer.encode("summarize: " + text, return_tensors="pt", max_length=1024, truncation=True)
+    summary_ids = model.generate(inputs, max_length=800, min_length=300, length_penalty=2.0, num_beams=4, early_stopping=True)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+
+# Create a Gradio interface
+interface = gr.Interface(theme="NoCrypt/miku",
+                         fn=summarize, 
+                         inputs=gr.Textbox(lines=10, label="Input Text"), 
+                         outputs=gr.Textbox(label="Summary"),
+                         title="Text Summarization Tool",
+                         description="Enter a long text and get a summarized version of it.")
+
+# Launch the interface
+interface.launch()