Update app.py

app.py

@@ -2,28 +2,45 @@ import gradio as gr
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# Load the model and tokenizer
-MODEL_NAME = "ubiodee/Cardano_plutus"  # Your fine-tuned model
+# Load model & tokenizer
+MODEL_NAME = "ubiodee/Cardano_plutus"
+
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
 model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
+model.eval()
+
+if torch.cuda.is_available():
+    model.to("cuda")
 
-# Function to generate response from the model
+# Response function
 def generate_response(prompt):
-    inputs = tokenizer(prompt, return_tensors="pt")
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
     with torch.no_grad():
-        output = model.generate(**inputs, max_length=512)
-    response = tokenizer.decode(output[0], skip_special_tokens=True)
+        outputs = model.generate(
+            **inputs,
+            max_new_tokens=200,
+            temperature=0.7,
+            top_p=0.9,
+            do_sample=True,
+            eos_token_id=tokenizer.eos_token_id,
+            pad_token_id=tokenizer.pad_token_id,
+        )
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    # Remove the prompt from the output to return only the answer
+    if response.startswith(prompt):
+        response = response[len(prompt):].strip()
+
     return response
 
-# Gradio Interface
-iface = gr.Interface(
+# Gradio UI
+demo = gr.Interface(
     fn=generate_response,
-    inputs=gr.Textbox(label="Enter your prompt"),
+    inputs=gr.Textbox(label="Enter your prompt", lines=4, placeholder="Ask about Plutus..."),
     outputs=gr.Textbox(label="Model Response"),
-    title="Cardano Plutus AI",
-    description="Type in your question or prompt related to Cardano Plutus and get a response from the AI model.",
-    theme="default"
+    title="Cardano Plutus AI Assistant",
+    description="Ask questions about Plutus smart contracts or Cardano blockchain."
 )
 
-# Launch app
-iface.launch()
+demo.launch()