Create app.py

app.py

@@ -0,0 +1,109 @@
+from datetime import datetime
+
+import streamlit as st
+import os
+from mistralai import Mistral
+
+
+class ChatBot:
+    def __init__(self):
+        self.client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
+        self.history = [{"role": "system", "content": "You are a helpful assistant."}]
+
+    def generate_response(self, prompt: str) -> str:
+        self.history.append({"role": "user", "content": prompt})
+        completion = self.client.agents.complete(
+            agent_id="ag:bfb4e4d9:20240809:coding-agent:b1d09feb",
+            messages=self.history,
+        )
+        
+        response = completion.choices[0].message.content
+        self.history.append({"role": "assistant", "content": response})
+        
+        return response
+
+    def get_history(self) -> list:
+        return self.history
+
+
+# Credit: Time
+def current_year():
+    now = datetime.now()
+    return now.year
+
+
+st.set_page_config(layout="wide")
+st.title("Just chat! 🤖")
+
+
+with st.sidebar:
+    with st.expander("Instruction Manual"):
+        st.markdown("""
+            ## Mistral AI Agent 🤖 Chatbot
+            This Streamlit app allows you to chat with Mistral AI Coder Agent.
+            ### How to Use:
+            1. **Input**: Type your prompt into the chat input box labeled "What is up?".
+            2. **Response**: The app will display a response from Mistral AI.
+            3. **Chat History**: Previous conversations will be shown on the app.
+            ### Credits:
+            - **Developer**: [Yiqiao Yin](https://www.y-yin.io/) | [App URL](https://huggingface.co/spaces/eagle0504/gpt-4o-demo) | [LinkedIn](https://www.linkedin.com/in/yiqiaoyin/) | [YouTube](https://youtube.com/YiqiaoYin/)
+            Enjoy chatting with Mistral AI agent!
+        """)
+
+    # Example:
+    with st.expander("Examples"):
+        st.success("Example: Write a simple hello world flask app for me.")
+        st.success("Example: Write a program to simulate the value of pi.")
+        st.success("Example: Write a 3-layer neural network for me?")
+
+    # Add a button to clear the session state
+    if st.button("Clear Session"):
+        st.session_state.messages = []
+        st.experimental_rerun()
+
+    # Credit:
+    # current_year = current_year()  # This will print the current year
+    # st.markdown(
+    #     f"""
+    #         <h6 style='text-align: left;'>Copyright © 2010-{current_year} Present Yiqiao Yin</h6>
+    #     """,
+    #     unsafe_allow_html=True,
+    # )
+
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Ensure messages are a list of dictionaries
+if not isinstance(st.session_state.messages, list):
+    st.session_state.messages = []
+if not all(isinstance(msg, dict) for msg in st.session_state.messages):
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# React to user input
+if prompt := st.chat_input("😉 Ask any question or feel free to use the examples provided in the left sidebar."):
+
+    # Display user message in chat message container
+    st.chat_message("user").markdown(prompt)
+
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "system", "content": f"You are a helpful assistant. Year now is {current_year}"})
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+    # API Call
+    bot = ChatBot()
+    bot.history = st.session_state.messages.copy()  # Update history from messages
+    response = bot.generate_response(prompt)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        st.markdown(response)
+
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})