Update app.py

app.py

@@ -26,6 +26,9 @@ def initialize_llm(model_choice):
             return None
         return ChatOpenAI(api_key=openai_api_key, model="gpt-4o")
 
+# Select LLM model
+model_choice = st.radio("Select LLM", ["GPT-4o", "llama-3.3-70b"], index=0, horizontal=True)
+llm = initialize_llm(model_choice)
 
 def load_dataset_into_session():
     input_option = st.radio(
@@ -73,23 +76,6 @@ def load_dataset_into_session():
 
 st.title("Chat with Patent Dataset Using PandasAI")
 
-# Push instructions to the sidebar
-with st.sidebar:
-    st.header("Instructions")
-    st.markdown(
-        "1. Select how you want to input the dataset.\n"
-        "2. Upload, select, or fetch the dataset using the provided options.\n"
-        "3. Choose an LLM (Groq-based or OpenAI-based) to interact with the data.\n"
-        "   - Example: 'Predict if the patent will be accepted.'\n"
-        "   - Example: 'What is the primary classification of this patent?'\n"
-        "   - Example: 'Summarize the abstract of this patent.'\n"
-        "4. Enter a query to generate and view graphs based on patent attributes.\n"
-    )
-
-# Select LLM model
-model_choice = st.radio("Select LLM", ["GPT-4o", "llama-3.3-70b"], index=0, horizontal=True)
-llm = initialize_llm(model_choice)
-
 # Load dataset into session
 load_dataset_into_session()
 
@@ -127,3 +113,16 @@ if "df" in st.session_state and llm:
 
         except Exception as e:
             st.error(f"Error: {e}")
+
+# Push instructions to the sidebar
+with st.sidebar:
+    st.header("Instructions")
+    st.markdown(
+        "1. Select how you want to input the dataset.\n"
+        "2. Upload, select, or fetch the dataset using the provided options.\n"
+        "3. Choose an LLM (Groq-based or OpenAI-based) to interact with the data.\n"
+        "   - Example: 'Predict if the patent will be accepted.'\n"
+        "   - Example: 'What is the primary classification of this patent?'\n"
+        "   - Example: 'Summarize the abstract of this patent.'\n"
+        "4. Enter a query to generate and view graphs based on patent attributes.\n"
+    )