Update app.py

app.py

@@ -29,7 +29,7 @@ def load_model_and_tokenizer(model_path):
         raise Exception(f"Failed to load model or tokenizer from {model_path}: {str(e)}")
 
 def generate_text(tokenizer, model, device, prompt, max_length=100,
-                  num_return_sequences=1, top_p=0.95, temperature=0.7, seed=42):
+                  num_return_sequences=1, top_p=0.95, temperature=0.7, seed=123):
     # Set the random seed for reproducibility
     torch.manual_seed(seed)
     if device.type == "cuda":
@@ -86,7 +86,7 @@ with gr.Blocks() as demo:
             max_length = gr.Slider(minimum=10, maximum=768, value=32, label="Max Length", step=1)
             top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, label="Top-p Sampling", step=0.01)
             temperature = gr.Slider(minimum=0.1, maximum=1.0, value=0.7, label="Temperature", step=0.01)
-            seed = gr.Slider(minimum=0, maximum=10000, value=42, label="Seed", step=1)
+            seed = gr.Slider(minimum=0, maximum=10000, value=123, label="Seed", step=1)
             num_return_sequences = gr.Slider(minimum=1, maximum=5, value=1, label="Number of Sequences", step=1)
             submit_button = gr.Button("Generate")
         with gr.Column():