Add deepseek local model deepseek-r1:1.5b

app_config.json

@@ -1,12 +1,20 @@
 {
-    "deepseek":{
+    "deepseek-chat":{
         "api_url": "https://api.deepseek.com",
-        "api_key": "sk-12165b127043441697a8940918e207ac"
+        "api_key": "sk-12165b127043441697a8940918e207ac",
+        "model":"deepseek-chat"
     },
     
-    "ollama":{
+    "llama3.2:1b":{
         "api_url": "http://localhost:11434/v1",
-        "api_key": "ollama"
+        "api_key": "ollama",
+        "model":"llama3.2:1b"
+    },
+
+    "deepseek-r1:1.5b":{
+        "api_url": "http://localhost:11434/v1",
+        "api_key": "ollama",
+        "model":"deepseek-r1:1.5b"
     },
 
     "send_email": {

webpages/buff_bot.py

@@ -23,7 +23,7 @@ def buffbot():
             st.code(f.read(), language="python")
     st.divider()
     # Select AI model for chatbot
-    model_options = ["llama3.2:1b", "deepseek-chat", ]
+    model_options = ["deepseek-r1:1.5b", "llama3.2:1b", "deepseek-chat",  ]
     # on_change callback to clear chat history when model is changed
     selected_model = st.selectbox("**👉Please select a model to start**", model_options, on_change=clear_chat)
 
@@ -36,26 +36,35 @@ def buffbot():
 
     # Load API credentials from config.json
     # the config file contains the API key and base URL for the selected model
-        """
-        {
-            "deepseek":{
-                "api_url": "https://api.deepseek.com",
-                "api_key": "YOUR_API_KEY"
-            },
-            
-            "ollama":{
-                "api_url": "http://localhost:11434/v1",
-                "api_key": "ollama"
-            }
-        }    
-        """
+    """
+    {
+        "deepseek":{
+            "api_url": "https://api.deepseek.com",
+            "api_key": "YOUR_API_KEY",
+            "model":"deepseek-chat"
+        },
+        
+        "ollama3.2:1b":{
+            "api_url": "http://localhost:11434/v1",
+            "api_key": "ollama",
+            "model":"llama3.2:1b"
+        },
+
+        "deepseek-r1:1.5b":{
+            "api_url": "http://localhost:11434/v1",
+            "api_key": "ollama",
+            "model":"deepseek-r1:1.5b"
+        },
+    }  
+    """
     # The API key and base URL are loaded based on the selected model
     with open('app_config.json') as config_file:
         config = json.load(config_file)
         # deepseek-chat model, online API
         if selected_model == "deepseek-chat":
-            api_base_url = config["deepseek"]["api_url"]
-            api_key = config["deepseek"]["api_key"]
+            api_base_url = config[selected_model]["api_url"]
+            api_key = config[selected_model]["api_key"]
+            model = config[selected_model]["model"]
             st.info("Powered by the online [DeepSeek](https://www.deepseek.com/) API!\
                 Just a heads up, you have 10 messages to use.")
             # Set the maximum number of user messages
@@ -63,11 +72,20 @@ def buffbot():
             
         # llama3.2:1b model, local API
         if selected_model == "llama3.2:1b":
-            api_base_url = config["ollama"]["api_url"]
-            api_key = config["ollama"]["api_key"]
+            api_base_url = config[selected_model]["api_url"]
+            api_key = config[selected_model]["api_key"]
+            model = config[selected_model]["model"]
             st.info("Powered by local llama3.2:1b model via [Ollama](https://ollama.com/library/llama3.2:1b)!\
                 Just a heads up, you have 100 messages to use.")
-            MAX_USER_MESSAGES = 100       
+            MAX_USER_MESSAGES = 100     
+        
+        if selected_model == "deepseek-r1:1.5b":
+            api_base_url = config[selected_model]["api_url"]
+            api_key = config[selected_model]["api_key"]
+            model = config[selected_model]["model"]
+            st.info("Powered by local deepseek-r1:1.5b model via [Ollama](https://ollama.com/library/deepseek-r1:1.5b)!\
+                Just a heads up, you have 100 messages to use.")
+            MAX_USER_MESSAGES = 100     
 
     # Initialize OpenAI client to connect with the selected model API
     client = OpenAI(api_key=api_key, base_url=api_base_url)

webpages/home.py

@@ -104,7 +104,8 @@ def home():
     """, unsafe_allow_html=True)
 
     # Faculty Advisors
-    st.markdown("""
+    st.markdown(
+        """
         <section>
             <h2>Faculty Advisors</h2>
             <div class="faculty-container">

webpages/testing.py

@@ -1,14 +1,5 @@
 import streamlit as st
 from webpages.SendEmail import send_email
 
-# # Example usage of the send_email function
-# if __name__ == "__main__":
-#     send_email(
-#         sender_email="noreply@buffteks.org",             # Sender's email address
-#         password="cidm4360fall2024@*",                   # Sender's email password
-#         to_email="REPLACE_WITH_RESIDENT_EMAIL",          # Recipient's email address
-#         subject="Package Pickup Notification",           # Subject of the email
-#     )
-
 def testing():
     st.write("Testing Page")