Update app.py

app.py

@@ -1,10 +1,9 @@
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
-MODEL_NAME = "OpenPeerAI/OpenPeerLLM"
-
+MODEL_NAME = "openpeerai/openpeerllm"
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype="autopy")
+model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype="auto")
 generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 def chat(prompt, max_new_tokens=256, temperature=0.7):
@@ -16,7 +15,7 @@ def chat(prompt, max_new_tokens=256, temperature=0.7):
         pad_token_id=tokenizer.eos_token_id
     )
     return outputs[0]['generated_text'][len(prompt):].strip()
-
+    MODEL_NAME = "openpeerai/openpeerllm"
 iface = gr.Interface(
     fn=chat,
     inputs=[