Update app.py

app.py

@@ -7,8 +7,7 @@ tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
 # Define the model names
 model_names = {
     "Flan-T5-small": "google/flan-t5-small",
-    "Flan-T5-base": "google/flan-t5-base",
-    "Flan-T5-large": "google/flan-t5-large"
+    "Flan-T5-base": "google/flan-t5-base"
 }
 
 # Pre-load the models
@@ -54,7 +53,7 @@ def respond(
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Dropdown(choices=["Flan-T5-small", "Flan-T5-base", "Flan-T5-large"], value="Flan-T5-base", label="Model"),
+        gr.Dropdown(choices=["Flan-T5-small", "Flan-T5-base"], value="Flan-T5-base", label="Model"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),