Spaces:
Running
Running
import traceback | |
import streamlit as st | |
from langchain_core.prompts import ChatPromptTemplate | |
from langchain_core.output_parsers import StrOutputParser | |
from langchain_openai import ChatOpenAI | |
from langchain_anthropic import ChatAnthropic | |
from langchain_google_genai import ChatGoogleGenerativeAI | |
PROMPT = """ | |
You are an AI language model that helps users generate email replies. Given the context of an email conversation, you will create a well-structured, appropriate response based on the provided inputs. The response should match the specified tone and length. | |
Input: | |
1. Sender: The person sending the email (e.g., boss, client, etc.) | |
2. Email Subject: The subject of the email (e.g., About scheduling a meeting) | |
3. Email Message: The content of the sender's email (e.g., I would like to adjust the time for tomorrow's meeting, are you available in the afternoon?) | |
4. What you want to say: The desired response (e.g., I am available after 2 PM.) | |
5. Length: The desired length of the response (e.g., Within 100 characters) | |
Output: | |
Generate a reply that addresses the sender's message, incorporates the user's desired response, and maintains a professional tone. | |
Examples: | |
Sender: Client | |
Email Subject: About scheduling a meeting | |
Email Message: I would like to adjust the time for tomorrow's meeting, are you available in the afternoon? | |
What you want to say: I am available after 2 PM. | |
Length: 100 characters | |
Generated Reply: Dear [Client's Name], Thank you for reaching out. I am available after 2 PM tomorrow for the meeting. Please let me know if this time works for you. Best regards, [Your Name] | |
Please generate a reply based on the provided inputs. | |
--- | |
- Sender: {sender}, | |
- Email Subject : {subject}, | |
- Content of the recipient's email:{message}, | |
- What you want to say:{reply}, | |
--- | |
""" | |
def init_page(): | |
st.set_page_config( | |
page_title="Email Reply AI Agent", | |
page_icon="✉️" | |
) | |
st.header("Email Reply AI Agent ✉️") | |
def select_model(temperature=0): | |
models = ("GPT-4o","GPT-4o-mini", "Claude 3.5 Sonnet", "Gemini 1.5 Pro") | |
model_choice = st.radio("Choose a model:", models) | |
if model_choice == "GPT-4o": | |
return ChatOpenAI(temperature=temperature, model_name="gpt-4o") | |
elif model_choice == "GPT-4o-mini": | |
return ChatOpenAI(temperature=temperature, model_name="gpt-4o-mini") | |
elif model_choice == "Claude 3.5 Sonnet": | |
return ChatAnthropic(temperature=temperature, model_name="claude-3-5-sonnet-20240620") | |
elif model_choice == "Gemini 1.5 Pro": | |
return ChatGoogleGenerativeAI(temperature=temperature, model="gemini-1.5-pro-latest") | |
def init_chain(): | |
llm = select_model() | |
prompt = ChatPromptTemplate.from_messages([ | |
("user", PROMPT), | |
]) | |
output_parser = StrOutputParser() | |
chain = prompt | llm | output_parser | |
return chain | |
def main(): | |
init_page() | |
# Style adjustments (optional, remove if not needed) | |
st.markdown("""<style>.st-emotion-cache-15ecox0 { display: none !important; } | |
@media (max-width: 50.5rem) {.st-emotion-cache-13ln4jf {max-width: calc(0rem + 100vw);}} | |
</style>""",unsafe_allow_html=True,) | |
chain = init_chain() | |
if chain: | |
sender = st.selectbox("Sender",("Co-worker", "Boss", "Client","Vendor", "Friend"),key="sender") | |
subject = st.text_input("Email Subject (e.g., About scheduling a meeting)", key="subject") | |
message = st.text_area("Content of the recipient's email: (e.g., I would like to adjust the time for tomorrow's meeting, are you available in the afternoon?)", key="message") | |
reply = st.text_area("What you want to say: (e.g., I am available after 2 PM.)", key="reply") | |
if st.button("Generate the Reply"): | |
result = chain.stream({"sender": sender, "subject": subject, "message": message, "reply": reply}) | |
st.write(result) | |
if __name__ == '__main__': | |
main() | |