Update app.py

app.py

@@ -16,7 +16,7 @@ API_KEY = os.environ.get('HUGGINGFACE_API_KEY')
 
 model_links ={
     "Mistral-7B":base_url+"mistralai/Mistral-7B-Instruct-v0.2",
-    "Mistral-22B":base_url+"mistral-community/Mixtral-8x22B-v0.1",
+    "Phi-3.5":base_url+"microsoft/Phi-3.5-mini-instruct",
     # "Gemma-2B":base_url+"google/gemma-2b-it",
     # "Zephyr-7B-β":base_url+"HuggingFaceH4/zephyr-7b-beta",
     # "Llama-2":"meta-llama/Llama-2-7b-chat-hf"
@@ -28,9 +28,8 @@ model_info ={
         {'description':"""The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
             \nIt was created by the [**Mistral AI**](https://mistral.ai/news/announcing-mistral-7b/) team as has over  **7 billion parameters.** \n""",
         'logo':'https://mistral.ai/images/logo_hubc88c4ece131b91c7cb753f40e9e1cc5_2589_256x0_resize_q97_h2_lanczos_3.webp'},
-    "Mistral-22B":
-        {'description':"""The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-            \nIt was created by the [**Mistral AI**](https://mistral.ai/news/announcing-mistral-22b/) team as has over  **22 billion parameters.** \n""",
+    "Phi-3.5":
+        {'description':"""Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.""",
         'logo':'https://mistral.ai/images/logo_hubc88c4ece131b91c7cb753f40e9e1cc5_2589_256x0_resize_q97_h2_lanczos_3.webp'}
 
     # "Gemma-7B":