Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("ahmedabdo/arabic-summarizer-bart")
+model = AutoModelForSeq2SeqLM.from_pretrained("ahmedabdo/arabic-summarizer-bart")
+
+def summarize_text(text, min_length, max_length):
+    if not text.strip():
+        return "Please enter some text to summarize."
+    summary = summarizer(text, min_length=min_length, max_length=max_length, truncation=True)
+    return summary[0]["summary_text"]
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# تلخيص النصوص باستخدام نموذج BART")
+
+    with gr.Row():
+        input_text = gr.Textbox(label="أدخل النص", placeholder="ضع النص هنا", lines=10)
+
+    min_length_slider = gr.Slider(10, 50, value=10, step=1, label="Minimum Summary Length (tokens)")
+    max_length_slider = gr.Slider(50, 150, value=100, step=1, label="Maximum Summary Length (tokens)")
+    
+    summarize_button = gr.Button("أبدا التلخيص")
+
+    output_text = gr.Textbox(label="تلخيص النص", interactive=False)
+
+    summarize_button.click(summarize_text, inputs=[input_text, min_length_slider, max_length_slider], outputs=output_text)
+
+# Launch the app
+demo.launch()