Update app.py

app.py

@@ -1,4 +1,11 @@
 
+
+# # initialize the client
+# client = OpenAI(
+#   base_url="https://api-inference.huggingface.co/v1",
+#   api_key=os.environ.get('')#"hf_xxx" # Replace with your token
+# ) 
+
 import numpy as np
 import streamlit as st
 from openai import OpenAI
@@ -14,59 +21,42 @@ load_dotenv()
 # initialize the client
 client = OpenAI(
   base_url="https://api-inference.huggingface.co/v1",
-  api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN')#"hf_xxx" # Replace with your token
-) 
-
-
-
-
-#Create supported models
-model_links ={
-    "Meta-Llama-3-8B":"meta-llama/Meta-Llama-3-8B-Instruct", 
-    "Mistral-7B":"mistralai/Mistral-7B-Instruct-v0.2",
-    "Gemma-7B":"google/gemma-1.1-7b-it",
-    "Gemma-2B":"google/gemma-1.1-2b-it",
-    "Zephyr-7B-β":"HuggingFaceH4/zephyr-7b-beta",
-
-}
-
-#Pull info about the model to display
-model_info ={
-    "Mistral-7B":
-        {'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'},
-    "Gemma-7B":        
-        {'description':"""The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-            \nIt was created by the [**Google's AI Team**](https://blog.google/technology/developers/gemma-open-models/) team as has over  **7 billion parameters.** \n""",
-        'logo':'https://pbs.twimg.com/media/GG3sJg7X0AEaNIq.jpg'},
-    "Gemma-2B":        
-    {'description':"""The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-        \nIt was created by the [**Google's AI Team**](https://blog.google/technology/developers/gemma-open-models/) team as has over  **2 billion parameters.** \n""",
-    'logo':'https://pbs.twimg.com/media/GG3sJg7X0AEaNIq.jpg'},
-    "Zephyr-7B":        
-    {'description':"""The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-        \nFrom Huggingface: \n\
-        Zephyr is a series of language models that are trained to act as helpful assistants. \
-        [Zephyr 7B Gemma](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1)\
-        is the third model in the series, and is a fine-tuned version of google/gemma-7b \
-        that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n""",
-    'logo':'https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1/resolve/main/thumbnail.png'},
-    "Zephyr-7B-β":        
-    {'description':"""The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-        \nFrom Huggingface: \n\
-        Zephyr is a series of language models that are trained to act as helpful assistants. \
-        [Zephyr-7B-β](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)\
-        is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 \
-        that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n""",
-    'logo':'https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/resolve/main/thumbnail.png'},
-    "Meta-Llama-3-8B":
-    {'description':"""The Llama (3) model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
-        \nIt was created by the [**Meta's AI**](https://llama.meta.com/) team and has over  **8 billion parameters.** \n""",
-    'logo':'Llama_logo.png'},
+  api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN')  # Replace with your token
+)
+
+# Create supported models
+model_links = {
+    "Meta-Llama-3.1-70B-Instruct": "meta-llama/Meta-Llama-3.1-70B-Instruct",
+    "Meta-Llama-3.1-8B-Instruct": "meta-llama/Meta-Llama-3.1-8B-Instruct",
+    "Meta-Llama-3.1-405B-Instruct-FP8": "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8",
+    "Meta-Llama-3.1-405B-Instruct": "meta-llama/Meta-Llama-3.1-405B-Instruct",
+    "Mistral-Nemo-Instruct-2407": "mistralai/Mistral-Nemo-Instruct-2407",
+    "Meta-Llama-3-70B-Instruct": "meta-llama/Meta-Llama-3-70B-Instruct",
+    "Meta-Llama-3-8B-Instruct": "meta-llama/Meta-Llama-3-8B-Instruct",
+    "C4ai-command-r-plus": "CohereForAI/c4ai-command-r-plus",
+    "Aya-23-35B": "CohereForAI/aya-23-35B",
+    "Zephyr-orpo-141b-A35b-v0.1": "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
+    "Mixtral-8x7B-Instruct-v0.1": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+    "Codestral-22B-v0.1": "mistralai/Codestral-22B-v0.1",
+    "Nous-Hermes-2-Mixtral-8x7B-DPO": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+    "Yi-1.5-34B-Chat": "01-ai/Yi-1.5-34B-Chat",
+    "Gemma-2-27b-it": "google/gemma-2-27b-it",
+    "Meta-Llama-2-70B-Chat-HF": "meta-llama/Llama-2-70b-chat-hf",
+    "Meta-Llama-2-7B-Chat-HF": "meta-llama/Llama-2-7b-chat-hf",
+    "Meta-Llama-2-13B-Chat-HF": "meta-llama/Llama-2-13b-chat-hf",
+    "Mistral-7B-Instruct-v0.1": "mistralai/Mistral-7B-Instruct-v0.1",
+    "Mistral-7B-Instruct-v0.2": "mistralai/Mistral-7B-Instruct-v0.2",
+    "Mistral-7B-Instruct-v0.3": "mistralai/Mistral-7B-Instruct-v0.3",
+    "Falcon-7b-Instruct": "tiiuae/falcon-7b-instruct",
+    "Starchat2-15b-v0.1": "HuggingFaceH4/starchat2-15b-v0.1",
+    "Gemma-1.1-7b-it": "google/gemma-1.1-7b-it",
+    "Gemma-1.1-2b-it": "google/gemma-1.1-2b-it",
+    "Zephyr-7B-Beta": "HuggingFaceH4/zephyr-7b-beta",
+    "Zephyr-7B-Alpha": "HuggingFaceH4/zephyr-7b-alpha",
+    "Phi-3-mini-128k-instruct": "microsoft/Phi-3-mini-128k-instruct",
+    "Phi-3-mini-4k-instruct": "microsoft/Phi-3-mini-4k-instruct",
 }
 
-
 #Random dog images for error message
 random_dog = ["0f476473-2d8b-415e-b944-483768418a95.jpg",
               "1bd75c81-f1d7-4e55-9310-a27595fa8762.jpg",
@@ -101,7 +91,7 @@ models =[key for key in model_links.keys()]
 # Create the sidebar with the dropdown for model selection
 selected_model = st.sidebar.selectbox("Select Model", models)
 
-#Create a temperature slider
+# Create a temperature slider
 temp_values = st.sidebar.slider('Select a temperature value', 0.0, 1.0, (0.5))
 
 
@@ -111,10 +101,8 @@ st.sidebar.button('Reset Chat', on_click=reset_conversation) #Reset button
 
 # Create model description
 st.sidebar.write(f"You're now chatting with **{selected_model}**")
-st.sidebar.markdown(model_info[selected_model]['description'])
-st.sidebar.image(model_info[selected_model]['logo'])
 st.sidebar.markdown("*Generated content may be inaccurate or false.*")
-
+# st.sidebar.markdown("\n[TypeGPT](https://typegpt.net).")
 
 
 
@@ -134,8 +122,8 @@ if st.session_state.prev_option != selected_model:
 repo_id = model_links[selected_model]
 
 
-st.subheader(f'AI - {selected_model}')
-# st.title(f'ChatBot Using {selected_model}')
+st.subheader(f'{selected_model}')
+# # st.title(f'ChatBot Using {selected_model}')
 
 # Set a default model
 if selected_model not in st.session_state:
@@ -155,17 +143,15 @@ for message in st.session_state.messages:
 
 # Accept user input
 if prompt := st.chat_input(f"Hi I'm {selected_model}, ask me a question"):
-
     # Display user message in chat message container
     with st.chat_message("user"):
         st.markdown(prompt)
     # Add user message to chat history
     st.session_state.messages.append({"role": "user", "content": prompt})
-
+    
 
     # Display assistant response in chat message container
     with st.chat_message("assistant"):
-
         try:
             stream = client.chat.completions.create(
                 model=model_links[selected_model],
@@ -196,5 +182,7 @@ if prompt := st.chat_input(f"Hi I'm {selected_model}, ask me a question"):
 
 
 
-        
+
+            
+
     st.session_state.messages.append({"role": "assistant", "content": response})