Sync from GitHub Actions

app.py

@@ -13,7 +13,6 @@ def load_pipeline():
     try:
         pipeline = PredictionPipeline()
         return pipeline
-    
     except Exception as e:
         logging.error("Failed to load pipeline in Streamlit app")
         st.error(f"Failed to load model pipeline: {e}")
@@ -25,30 +24,29 @@ st.title("🤖 CodeInsight Assistant")
 st.caption("Your fine-tuned CodeLlama-7b model, ready to help with Python.")
 
 if pipeline:
-    if "message" not in st.session_state:
+    if "messages" not in st.session_state:
         st.session_state.messages = [
             {"role": "assistant", "content": "Hello! How can I help you with Python programming today?"}
         ]
-        
-        for message in st.session_state.message:
-            with st.chat_message(message["role"]):
-                st.markdown(message["contant"])
-                
-        prompt = st.chat_input("Ask me to write python code")
-        
-        if prompt:
-            st.session_state.messages.append({"role": "user", "content": prompt})
-            with st.chat_message("user"):
-                st.markdown(prompt)
-            
-            with st.chat_message("assistant"):
-                with st.spinner("Thinking..."):
-                    response = pipeline.predict(prompt)
-                    
-                    formatted_response = f"```python\n{response}\n```"
-                    st.markdown(formatted_response)
-                    
-            st.session_state.messages.append({"role": "assistant", "content": formatted_response})
-            
-        else:
-            st.error("The prediction pipeline could not be loaded. Please check the logs.")
+
+    for message in st.session_state.messages:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+
+    prompt = st.chat_input("Ask me to write python code")
+
+    if prompt:
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+        with st.chat_message("assistant"):
+            with st.spinner("Thinking..."):
+                response = pipeline.predict(prompt)
+                formatted_response = f"```python\n{response}\n```"
+                st.markdown(formatted_response)
+
+        st.session_state.messages.append({"role": "assistant", "content": formatted_response})
+
+else:
+    st.error("The prediction pipeline could not be loaded. Please check the logs.")

codeInsight/logger/__init__.py

@@ -20,4 +20,7 @@ console_handler.setFormatter(formetter)
 logging.basicConfig(
     level=logging.DEBUG,
     handlers=[file_handler, console_handler],
-)
+)
+
+for noisy_logger in ["watchdog", "watchdog.observer", "watchdog.observers"]:
+    logging.getLogger(noisy_logger).setLevel(logging.CRITICAL)