Update app.py

app.py

@@ -1,22 +1,3 @@
-import os
-os.system("pip install transformers torch SentencePiece")
-
-from transformers import T5Tokenizer, T5ForConditionalGeneration
 import gradio as gr
-
-model = T5ForConditionalGeneration.from_pretrained("./Ruttoni_AI")
-tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-base")
-
-print("Model loaded!")
-# Generate a summary using the trained model
-def generate_summary(input_text):
-    input_ids = tokenizer.encode(input_text, return_tensors='pt')
-    outputs = model.generate(input_ids)
-    summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return summary
-
-ai = gr.Interface(fn=generate_summary, inputs="text", outputs="text")
-    
-ai.launch()
-
-print("Interface Started!")
+print("Starting!!1")
+gr.Interface.load("models/lu2000luk/RuttoniAI").launch()