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Browse files- .env.example +2 -0
- README.md +44 -7
- app.py +180 -0
- requirements.txt +2 -0
.env.example
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# Copy this file to .env and add your API key
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ANTHROPIC_API_KEY=your_api_key_here
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README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk:
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sdk_version:
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app_file: app.py
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pinned: false
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---
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-
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---
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title: Claude Simple Chatbot
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emoji: 🤖
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colorFrom: blue
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colorTo: purple
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sdk: streamlit
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sdk_version: 1.34.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# Claude Simple Chatbot 🤖
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A simple, elegant chatbot built with Streamlit and Anthropic's Claude AI.
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## Features
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- **Multiple Claude Models**: Choose between Haiku, Sonnet, and Opus
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- **Persistent Chat History**: Conversations stay active during your session
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- **Clean Interface**: Modern, responsive design with sidebar controls
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- **Easy Setup**: Just add your API key and start chatting
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- **Model Selection**: Switch between different Claude models on the fly
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## How to Use
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1. **Enter API Key**: Add your Anthropic API key in the sidebar
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2. **Choose Model**: Select your preferred Claude model
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3. **Start Chatting**: Type your message and enjoy!
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## Getting Your API Key
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- Visit [Anthropic Console](https://console.anthropic.com/)
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- Create an account and get your API key
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- It should start with `sk-ant-`
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## Example Prompts
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- "Explain quantum computing in simple terms"
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- "Write a Python function to sort a list"
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- "Help me plan a weekend itinerary for Tokyo"
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- "What are the pros and cons of remote work?"
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## Architecture
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- **Frontend**: Streamlit for the web interface
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- **Backend**: Anthropic Python SDK for Claude API integration
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- **State Management**: Streamlit session state for chat history
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- **Error Handling**: Graceful error messages and connection handling
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app.py
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"""
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Simple Chatbot using Streamlit and Anthropic Claude
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==================================================
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A clean, interactive chatbot interface powered by Claude AI.
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"""
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import streamlit as st
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import anthropic
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from typing import List, Dict
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import os
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# Configure the page
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st.set_page_config(
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page_title="Claude Chatbot",
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page_icon="🤖",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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def initialize_session_state():
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"""Initialize session state variables."""
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "client" not in st.session_state:
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st.session_state.client = None
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def setup_anthropic_client(api_key: str) -> anthropic.Anthropic:
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"""Setup and return Anthropic client."""
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try:
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client = anthropic.Anthropic(api_key=api_key)
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return client
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except Exception as e:
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st.error(f"Error setting up Anthropic client: {str(e)}")
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return None
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def get_claude_response(client: anthropic.Anthropic, messages: List[Dict], model: str = "claude-3-haiku-20240307") -> str:
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"""Get response from Claude API."""
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try:
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# Convert Streamlit messages to Anthropic format
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anthropic_messages = []
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for msg in messages:
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if msg["role"] in ["user", "assistant"]:
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anthropic_messages.append({
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"role": msg["role"],
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"content": msg["content"]
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})
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response = client.messages.create(
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model=model,
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max_tokens=1000,
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temperature=0.7,
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messages=anthropic_messages
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)
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return response.content[0].text
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except Exception as e:
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return f"Error getting response: {str(e)}"
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def main():
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"""Main application function."""
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initialize_session_state()
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# Sidebar for configuration
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with st.sidebar:
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st.title("🤖 Claude Chatbot")
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st.markdown("---")
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# API Key input
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api_key = st.text_input(
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"Anthropic API Key",
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type="password",
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help="Enter your Anthropic API key to start chatting",
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placeholder="sk-ant-..."
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)
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# Model selection
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model = st.selectbox(
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"Select Claude Model",
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options=[
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"claude-3-haiku-20240307",
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"claude-3-sonnet-20240229",
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"claude-3-opus-20240229"
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],
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index=0,
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help="Choose the Claude model to use"
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)
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# Clear chat button
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if st.button("🗑️ Clear Chat", use_container_width=True):
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st.session_state.messages = []
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st.rerun()
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st.markdown("---")
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st.markdown("""
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### About
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This chatbot uses Anthropic's Claude AI to provide intelligent responses.
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**Features:**
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- Multiple Claude models
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- Persistent conversation history
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- Clean, responsive interface
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**Usage:**
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1. Enter your Anthropic API key
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2. Start typing your message
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3. Enjoy chatting with Claude!
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""")
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# Main chat interface
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st.title("💬 Chat with Claude")
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# Check if API key is provided
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if not api_key:
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st.info("👈 Please enter your Anthropic API key in the sidebar to start chatting.")
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st.markdown("""
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### Getting Started
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1. **Get an API Key**: Visit [Anthropic Console](https://console.anthropic.com/) to get your API key
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2. **Enter the Key**: Paste it in the sidebar input field
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3. **Start Chatting**: Type your message and press Enter!
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### Example Questions to Try:
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- "Explain quantum computing in simple terms"
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- "Write a Python function to calculate fibonacci numbers"
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- "What are the benefits of renewable energy?"
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- "Help me plan a weekend trip to San Francisco"
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""")
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return
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# Setup client
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if st.session_state.client is None:
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with st.spinner("Setting up connection to Claude..."):
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st.session_state.client = setup_anthropic_client(api_key)
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if st.session_state.client is None:
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st.error("Failed to setup Anthropic client. Please check your API key.")
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return
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# Display chat messages
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chat_container = st.container()
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with chat_container:
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Chat input
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if prompt := st.chat_input("Type your message here..."):
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# Add user message to chat
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Display user message immediately
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with chat_container:
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with st.chat_message("user"):
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st.markdown(prompt)
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# Get and display assistant response
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with chat_container:
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with st.chat_message("assistant"):
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message_placeholder = st.empty()
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with st.spinner("Claude is thinking..."):
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response = get_claude_response(
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st.session_state.client,
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st.session_state.messages,
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model
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)
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message_placeholder.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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# Display conversation stats
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if st.session_state.messages:
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st.sidebar.markdown("---")
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st.sidebar.markdown(f"**Messages:** {len(st.session_state.messages)}")
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st.sidebar.markdown(f"**Model:** {model}")
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if __name__ == "__main__":
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main()
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requirements.txt
ADDED
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@@ -0,0 +1,2 @@
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streamlit>=1.34.0
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anthropic>=0.25.0
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