Update app.py

app.py

@@ -6,7 +6,7 @@ from transformers import pipeline
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
-pipe = pipeline("text-generation", model="Qwen/Qwen2-7B")
+pipe = pipeline("text-generation", model="Qwen/Qwen-7B")
 pipe(messages)
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
@@ -15,8 +15,8 @@ For more information on `huggingface_hub` Inference API support, please check th
 # Load model directly
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B")
-model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B")
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B")
+model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B")
 
 def respond(
     message,