fixed the app.py

app.py

@@ -5,8 +5,6 @@ from peft import AutoPeftModelForCausalLM
 from transformers import AutoTokenizer, pipeline
 
 MODEL_ID = "SatyamSinghal/taskmind-1.1b-chat-lora"
-
-# Optional: use HF token from Space secrets if you add one
 HF_TOKEN = os.getenv("HF_TOKEN")
 
 tokenizer = AutoTokenizer.from_pretrained(
@@ -37,7 +35,7 @@ def respond(message, history):
 
     messages.append({"role": "user", "content": message})
 
-    out = pipe(
+    result = pipe(
         messages,
         max_new_tokens=256,
         do_sample=True,
@@ -45,15 +43,15 @@ def respond(message, history):
         top_p=0.9,
     )
 
-    generated = out[0]["generated_text"]
+    generated = result[0]["generated_text"]
     if isinstance(generated, list):
         return generated[-1]["content"]
     return str(generated)
 
 demo = gr.ChatInterface(
     fn=respond,
-    title="TaskMind Demo",
-    description="Try the TaskMind LoRA model.",
+    title="TaskMind Interface",
+    description="Chat with the TaskMind LoRA model.",
     examples=[
         "Who are you?",
         "@Agrim fix the growstreams deck ASAP NO Delay",
@@ -64,4 +62,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()