Update app.py

app.py

@@ -25,7 +25,7 @@ def forecast(csv_file):
 
     # Generate forecast
     with torch.no_grad():
-        predictions = model.generate(**inputs, max_length=200, num_return_sequences=1)
+        predictions = model.generate(**inputs, max_length=2500, num_return_sequences=1)
 
     # Decode the generated forecast
     forecast_text = tokenizer.decode(predictions[0], skip_special_tokens=True)