Create app.py

app.py

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+#Add loading and display in st.code of the history.  Add and display a dataframe with the input and output pair in an editable grid and code listing:   import streamlit as st
+import anthropic
+import os
+import base64
+from streamlit.components.v1 import html
+
+# Set up the Anthropic client
+client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
+
+# Initialize session state
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+# Function to get file download link
+def get_download_link(file_contents, file_name):
+    b64 = base64.b64encode(file_contents.encode()).decode()
+    return f'<a href="data:file/txt;base64,{b64}" download="{file_name}">Download {file_name}</a>'
+
+# Streamlit app
+def main():
+    st.title("Claude 3.5 Sonnet API Demo")
+
+    # User input
+    user_input = st.text_input("Enter your message:", key="user_input")
+
+    if user_input:
+        # Call Claude API
+        response = client.messages.create(
+            model="claude-3-sonnet-20240229",
+            max_tokens=1000,
+            messages=[
+                {"role": "user", "content": user_input}
+            ]
+        )
+
+        # Append to chat history
+        st.session_state.chat_history.append({"user": user_input, "claude": response.content[0].text})
+
+        # Clear user input
+        st.session_state.user_input = ""
+
+    # Display chat history
+    for chat in st.session_state.chat_history:
+        st.chat_message(chat["user"], is_user=True)
+        st.chat_message(chat["claude"], avatar_style="thumbs", seed="Claude")
+
+    # Save chat history to file
+    chat_history_text = "\n".join([f"User: {chat['user']}\nClaude: {chat['claude']}" for chat in st.session_state.chat_history])
+    file_download_link = get_download_link(chat_history_text, "chat_history.txt")
+    st.markdown(file_download_link, unsafe_allow_html=True)
+
+if __name__ == "__main__":
+    main()