Update app.py

app.py

@@ -10,44 +10,44 @@ os.environ["HUGGINGFACEHUB_API_KEY"]= os.getenv("HUGGINGFACEHUB_API_KEY")
 os.environ["HF_TOKEN"]= os.getenv("HUGGINGFACEHUB_API_KEY")
 
 
-model = HuggingFaceEndpoint(
-    repo_id="deepseek-ai/DeepSeek-R1",
-    provider="nebius",
-    temperature=0.6,
-    max_new_tokens=200, 
-    task="conversational"
-)
-
-# Wrap it into ChatHuggingFace interface
-llama_model = ChatHuggingFace(
-    llm=model,
-    repo_id="deepseek-ai/DeepSeek-R1",
-    provider="nebius",
-    temperature=0.6,
-    max_new_tokens=200,
-    task="conversational"
-)
-
-
-# Define Hugging Face model
 # model = HuggingFaceEndpoint(
-#     repo_id="meta-llama/Llama-3.2-3B-Instruct",
+#     repo_id="deepseek-ai/DeepSeek-R1",
 #     provider="nebius",
 #     temperature=0.6,
-#     max_new_tokens=300,  # Increase for more complete outputs
+#     max_new_tokens=200, 
 #     task="conversational"
 # )
 
 # # Wrap it into ChatHuggingFace interface
 # llama_model = ChatHuggingFace(
 #     llm=model,
-#     repo_id="meta-llama/Llama-3.2-3B-Instruct",
+#     repo_id="deepseek-ai/DeepSeek-R1",
 #     provider="nebius",
 #     temperature=0.6,
-#     max_new_tokens=300,
+#     max_new_tokens=200,
 #     task="conversational"
 # )
 
+
+Define Hugging Face model
+model = HuggingFaceEndpoint(
+    repo_id="meta-llama/Llama-3.2-3B-Instruct",
+    provider="nebius",
+    temperature=0.6,
+    max_new_tokens=300,  # Increase for more complete outputs
+    task="conversational"
+)
+
+# Wrap it into ChatHuggingFace interface
+llama_model = ChatHuggingFace(
+    llm=model,
+    repo_id="meta-llama/Llama-3.2-3B-Instruct",
+    provider="nebius",
+    temperature=0.6,
+    max_new_tokens=300,
+    task="conversational"
+)
+
 # Initialize session message history
 if "message_history" not in st.session_state:
     st.session_state.message_history = [