Update app.py

app.py

@@ -5,8 +5,13 @@ import os
 import requests
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
+)
+client = InferenceClient(
+    "mistralai/Mixtral-8x7B-Instruct-v0.1"
+)
+
 # Load the pre-trained model and tokenizer
-model_name = "OpenBMB/multilingual-codeparrot"
+model_name = "mistralai/Mixtral-8x7B-Instruct-v0.1"
 model = AutoModelForCodeGeneration.from_pretrained(model_name)
 tokenizer = AutoTokenizerForCodeGeneration.from_pretrained(model_name)
 
@@ -173,7 +178,7 @@ with gr.Blocks() as demo:
 
     model_dropdown = gr.Dropdown(
         choices=[
-            "‎apple/OpenELM",
+            "mistralai/Mixtral-8x7B-Instruct-v0.1",
             "Gabriel/Swe-review-setfit-model",
             "OpenBMB/multilingual-codeparrot"
         ],