Update app.py

app.py

@@ -6,7 +6,7 @@ import time, logging
 
 logging.basicConfig(level=logging.ERROR)
 device = -1  # CPU-only
-print("⚠️ CPU-only. Expect ~15–25s for 300,000 chars.")
+print("⚠️ CPU-only. Expect ~20–30s for 300,000 chars.")
 
 try:
     summarizer = pipeline("summarization", model="t5-small", device=device, torch_dtype=torch.float32)
@@ -23,16 +23,16 @@ def summarize_file(file_bytes):
         return f"❌ Text extraction failed: {str(e)}"
     if not text.strip(): return "❌ No text found"
     text = text[:300000]
-    chunks = [text[i:i+8000] for i in range(0, len(text), 8000)]
+    chunks = [text[i:i+2000] for i in range(0, len(text), 2000)]
     print(f"Chunks created: {len(chunks)}")
     if not chunks: return "❌ No chunks to summarize"
     summaries = []
     for i, chunk in enumerate(chunks):
-        if time.time() - start > 12: 
+        if time.time() - start > 15: 
             summaries.append("⚠️ Stopped early")
             break
         try:
-            summary = summarizer(chunk, max_length=40, min_length=10, do_sample=False)[0]['summary_text']
+            summary = summarizer(chunk, max_length=60, min_length=10, do_sample=False)[0]['summary_text']
             summaries.append(f"**Chunk {i+1}**:\n{summary}")
         except Exception as e:
             summaries.append(f"**Chunk {i+1}**: ❌ Error: {str(e)}")
@@ -41,7 +41,7 @@ def summarize_file(file_bytes):
 demo = gr.Interface(
     fn=summarize_file, inputs=gr.File(label="📄 PDF/TXT Notes", type="binary"), 
     outputs=gr.Textbox(label="📝 Summary"), 
-    title="Fast Summarizer", description="300,000+ chars in ~15–25s (CPU)"
+    title="Fast Summarizer", description="300,000+ chars in ~20–30s (CPU)"
 )
 
 if __name__ == "__main__":