Update app.py

app.py

@@ -7,7 +7,7 @@ import time, io
 device = 0 if torch.cuda.is_available() else -1
 if device == -1: print("⚠️ No GPU detected. Expect ~10–20s for 300,000 chars on CPU.")
 
-summarizer = pipeline("summarization", model="google/pegasus-xsum", device=device, torch_dtype=torch.int8)
+summarizer = pipeline("summarization", model="google/pegasus-xsum", device=device, torch_dtype=torch.float32)
 
 def extract_text(file_bytes):
     if file_bytes[:4].startswith(b'%PDF'):
@@ -25,7 +25,7 @@ async def summarize_file(file_bytes):
     chunks = [text[i:i+15000] for i in range(0, len(text), 15000)]
     if not chunks: return "❌ No chunks to summarize"
     summaries = []
-    batch_size = 2 if device == -1 else 10  # Smaller batch for CPU
+    batch_size = 2 if device == -1 else 10
     for i in range(0, len(chunks), batch_size):
         if time.time() - start > 9: 
             summaries.append("⚠️ Stopped early")