Add initial project structure with .gitignore, pyproject.toml, and main application files

.gitignore

@@ -0,0 +1,17 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual environment
+env/
+
+# Configuration
+config/config.ini
+
+# IDE
+.vscode/
+.idea/
+
+# Streamlit
+.streamlit/

pyproject.toml

@@ -0,0 +1,15 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "streamlit-chat-app"
+version = "0.1.0"
+dependencies = [
+    "streamlit",
+    "python-dotenv",
+    "openai"
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src"]

src/app.py

@@ -0,0 +1,39 @@
+import streamlit as st
+from openai_client import OpenAIClient
+
+def init_session_state():
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+
+def display_chat_messages():
+    for message in st.session_state.messages:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+
+def handle_user_input():
+    if prompt := st.chat_input("Type your message..."):
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        with st.chat_message("user"):
+            st.markdown(prompt)
+        
+        with st.chat_message("assistant"):
+            response_placeholder = st.empty()
+            full_response = ""
+            
+            client = OpenAIClient()
+            for chunk in client.get_chat_response(st.session_state.messages):
+                if chunk.choices[0].delta.content:
+                    full_response += chunk.choices[0].delta.content
+                    response_placeholder.markdown(full_response + "▌")
+            
+            response_placeholder.markdown(full_response)
+            st.session_state.messages.append({"role": "assistant", "content": full_response})
+
+def main():
+    st.title("Streamlit Chat App")
+    init_session_state()
+    display_chat_messages()
+    handle_user_input()
+
+if __name__ == "__main__":
+    main()

src/openai_client.py

@@ -0,0 +1,23 @@
+import os
+import configparser
+from openai import OpenAI
+
+class OpenAIClient:
+    def __init__(self):
+        self.config = configparser.ConfigParser()
+        self.config.read('config/config.ini')
+        self.client = OpenAI(
+            api_key=self.config['openai']['api_key'],
+            base_url=self.config['openai']['base_url']
+        )
+
+    def get_chat_response(self, messages):
+        try:
+            response = self.client.chat.completions.create(
+                model=self.config['openai']['model'],
+                messages=messages,
+                stream=True
+            )
+            return response
+        except Exception as e:
+            raise Exception(f"OpenAI API error: {str(e)}")