Update app.py

app.py

@@ -7,35 +7,85 @@ from dotenv import load_dotenv
 # Load environment variables
 load_dotenv()
 
-# Initialize the OpenAI client
+# Initialize the Hugging Face client
+hf_api_key = os.getenv('HF_API_KEY')  # Replace with your Hugging Face API key
+openai_api_key = os.getenv('OPENAI_API_KEY')  # Replace with your OpenAI API key
+
 client = OpenAI(
-    base_url="https://api-inference.huggingface.co/v1",
-    api_key=os.environ.get('API_KEY')  # Replace with your token
+    api_key=openai_api_key
 )
 
-# Define model links
+# 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",
-    # Add more models as needed
+    "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",
 }
 
-# Function to reset conversation
+# Random dog images for error message
+random_dog = ["0f476473-2d8b-415e-b944-483768418a95.jpg",
+              "1bd75c81-f1d7-4e55-9310-a27595fa8762.jpg",
+              "526590d2-8817-4ff0-8c62-fdcba5306d02.jpg",
+              "1326984c-39b0-492c-a773-f120d747a7e2.jpg",
+              "42a98d03-5ed7-4b3b-af89-7c4876cb14c3.jpg",
+              "8b3317ed-2083-42ac-a575-7ae45f9fdc0d.jpg",
+              "ee17f54a-83ac-44a3-8a35-e89ff7153fb4.jpg",
+              "027eef85-ccc1-4a66-8967-5d74f34c8bb4.jpg",
+              "08f5398d-7f89-47da-a5cd-1ed74967dc1f.jpg",
+              "0fd781ff-ec46-4bdc-a4e8-24f18bf07def.jpg",
+              "0fb4aeee-f949-4c7b-a6d8-05bf0736bdd1.jpg",
+              "6edac66e-c0de-4e69-a9d6-b2e6f6f9001b.jpg",
+              "bfb9e165-c643-4993-9b3a-7e73571672a6.jpg"]
+
+# Reset conversation
 def reset_conversation():
     st.session_state.conversation = []
     st.session_state.messages = []
 
-# Sidebar setup
+# Define the available models
 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
 temp_values = st.sidebar.slider('Select a temperature value', 0.0, 1.0, 0.5)
-st.sidebar.button('Reset Chat', on_click=reset_conversation)
 
+# Add reset button to clear conversation
+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("*Generated content may be inaccurate or false.*")
 st.sidebar.markdown("\n[TypeGPT](https://typegpt.net).")
 
-# Manage session state
+# Initialize previous option and messages
 if "prev_option" not in st.session_state:
     st.session_state.prev_option = selected_model
 
@@ -44,12 +94,15 @@ if st.session_state.prev_option != selected_model:
     st.session_state.prev_option = selected_model
     reset_conversation()
 
-# Model repository id
+# Pull in the model we want to use
 repo_id = model_links[selected_model]
 
-# Main chat interface
 st.subheader(f'TypeGPT.net - {selected_model}')
 
+# Set a default model
+if selected_model not in st.session_state:
+    st.session_state[selected_model] = model_links[selected_model]
+
 # Initialize chat history
 if "messages" not in st.session_state:
     st.session_state.messages = []
@@ -61,10 +114,13 @@ 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(
@@ -78,15 +134,21 @@ if prompt := st.chat_input(f"Hi I'm {selected_model}, ask me a question"):
                 max_tokens=3000,
             )
             response = st.write_stream(stream)
+
         except Exception as e:
-            response = "😵‍💫 Looks like something went wrong! Please try again later."
+            response = ("😵‍💫 Looks like someone unplugged something! "
+                        "Either the model space is being updated or something is down. "
+                        "Try again later. Here's a random pic of a 🐶:")
             st.write(response)
+            random_dog_pick = 'https://random.dog/' + random_dog[np.random.randint(len(random_dog))]
+            st.image(random_dog_pick)
+            st.write("This was the error message:")
+            st.write(e)
 
     st.session_state.messages.append({"role": "assistant", "content": response})
 
 
 
-
 # import gradio as gr
 # from huggingface_hub import InferenceClient