app.py

app.py

@@ -0,0 +1,69 @@
+import os
+import json
+from pathlib import Path
+from dotenv import load_dotenv
+import requests
+import gradio as gr
+from datetime import datetime
+
+# Simplified quota tracking (no file I/O on Spaces)
+API_QUOTA = {"remaining": 600}
+
+def summarize_text(text, model="facebook/bart-large-cnn"):
+    """Optimized for Hugging Face Spaces"""
+    try:
+        token = os.getenv("HF_API_TOKEN")
+        if not token:
+            return "⚠️ Add HF_API_TOKEN to Secrets", ""
+        
+        API_QUOTA["remaining"] = max(0, API_QUOTA["remaining"] - 1)
+        
+        response = requests.post(
+            f"https://api-inference.huggingface.co/models/{model}",
+            headers={"Authorization": f"Bearer {token}"},
+            json={"inputs": text, "parameters": {"max_length": 50}}
+        )
+        
+        if response.status_code == 200:
+            result = response.json()
+            if isinstance(result, list):
+                return result[0].get("summary_text", "⚠️ No summary"), f"Remaining: {API_QUOTA['remaining']}/600"
+        
+        return f"⚠️ Error: {response.text[:200]}", f"Remaining: {API_QUOTA['remaining']}/600"
+    
+    except Exception as e:
+        return f"⚠️ Error: {str(e)}", ""
+
+# Gradio Interface
+with gr.Blocks(
+    theme=gr.themes.Glass(),
+    title="✨ Summify",
+    css=".gradio-container {max-width: 800px}"
+) as app:
+    
+    gr.Markdown("# ✨ Summify - AI Text Summarizer")
+    
+    with gr.Row():
+        input_txt = gr.Textbox(label="Your Text", lines=8, placeholder="Paste text here...")
+        output_txt = gr.Textbox(label="Summary", lines=8, interactive=False)
+    
+    with gr.Row():
+        btn = gr.Button("Summarize", variant="primary")
+        quota = gr.Textbox(label="API Status", interactive=False)
+    
+    btn.click(
+        fn=summarize_text,
+        inputs=input_txt,
+        outputs=[output_txt, quota]
+    )
+    
+    gr.Examples(
+        examples=[
+            "The quick brown fox jumps over the lazy dog.",
+            "He prayed Fajr half-asleep, unaware of the divine protection awaiting him..."
+        ],
+        inputs=input_txt
+    )
+
+if __name__ == "__main__":
+    app.launch()