first commit

app.py

@@ -0,0 +1,42 @@
+import gradio as gr
+import logging
+import sys
+from transformers import pipeline
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+# Load the model
+logger.info("Loading bart-large-cnn model...")
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+logger.info("Model loaded successfully!")
+
+def summarize_text(text, max_length=150, min_length=30):
+    if not text or len(text.strip()) < 50:
+        return text
+        
+    logger.info(f"Summarizing text of length {len(text)}")
+    result = summarizer(
+        text, 
+        max_length=max_length, 
+        min_length=min_length,
+        truncation=True
+    )
+    summary = result[0]["summary_text"]
+    return summary
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=[
+        gr.Textbox(lines=10, label="Text to Summarize"),
+        gr.Slider(50, 500, value=150, label="Max Length"),
+        gr.Slider(10, 200, value=30, label="Min Length")
+    ],
+    outputs=gr.Textbox(label="Summary"),
+    title="StudAI ",
+    description="Powered by facebook/bart-large-cnn model"
+)
+
+demo.launch(share=True, server_name="Leo", server_port=7860)

requirements.txt

@@ -0,0 +1,3 @@
+gradio==4.13.0
+transformers==4.35.2
+torch==2.0.1