Update app.py

app.py

@@ -3,20 +3,22 @@ from transformers import pipeline
 
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-def summarize_text(text, min_len, max_len):
-    summary = summarizer(text, min_length=min_len, max_length=max_len)
+def summarize_text(text):
+    word_count = len(text.split())  # حساب عدد الكلمات
+    if word_count < 10:
+        return "Error: The text should have at least 10 words."
+    elif word_count > 100:
+        return "Error: The text should have no more than 100 words."
+    
+    summary = summarizer(text, min_length=10, max_length=100)
     return summary[0]['summary_text']
 
 interface = gr.Interface(
     fn=summarize_text,
-    inputs=[
-        gr.Textbox(label="Enter Text", lines=10, placeholder="Paste your long text here..."),
-        gr.Slider(label="Min Length", minimum=10, maximum=50, step=1, value=10),
-        gr.Slider(label="Max Length", minimum=50, maximum=100, step=1, value=100)
-    ],
+    inputs=gr.Textbox(label="Enter Text", lines=10, placeholder="Paste your long text here..."),
     outputs=gr.Textbox(label="Summarized Text"),
     title="Text Summarizer",
-    description="This app uses the BART model to summarize your text into a concise form with a minimum of 10 tokens and a maximum of 100 tokens."
+    description="This app uses the BART model to summarize your text. The input text must be between 10 and 100 words."
 )
 
 interface.launch()