Update app.py

app.py

@@ -7,7 +7,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 # Load model and tokenizer
 model_name = "Salesforce/xLAM-1b-fc-r"
 
-title = f"# 🚀Eval Model: {model_name}"
+title = f"# 🚀 Eval Model: {model_name}"
 
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype="auto", trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -23,8 +23,8 @@ def generate_response(query):
 
     inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
     outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
-
-    return outputs
+    result = tokenizer.decode(outputs, skip_special_tokens=True)
+    return result
 
 # Gradio interface
 with gr.Blocks() as demo:
@@ -39,7 +39,7 @@ with gr.Blocks() as demo:
             submit_button = gr.Button("Generate Response")
         
         with gr.Column():
-            output = gr.Code(label="Response :", lines=10, language="json")
+            output = gr.Code(label="Response :", lines=20, language="json")
     
     submit_button.click(generate_response, inputs=[query_input], outputs=output)