Update hybrid_pipe.py

hybrid_pipe.py

@@ -75,7 +75,7 @@ class HybridQAModel(nn.Module, PyTorchModelHubMixin):
         average_confidence = sum(max_confidence_scores) / len(max_confidence_scores)  # Calculate average confidence
 
         decoded_output = tokenizer.decode(generated_outputs.sequences[0], skip_special_tokens=True)
-        final_output = decoded_output[len(input):].split("\n")[-1]
+        final_output = decoded_output[len(input_text):].split("\n")[-1]
         average_confidence, final_output
         return final_output, average_confidence