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import traceback |
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import streamlit as st |
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from langchain_core.prompts import ChatPromptTemplate |
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from langchain_core.output_parsers import StrOutputParser |
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from langchain_openai import ChatOpenAI |
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from langchain_anthropic import ChatAnthropic |
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from langchain_google_genai import ChatGoogleGenerativeAI |
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try: |
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from dotenv import load_dotenv |
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load_dotenv() |
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except ImportError: |
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import warnings |
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warnings.warn("dotenv not found. Please make sure to set your environment variables manually.", ImportWarning) |
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PROMPT = """ |
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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. |
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Input: |
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1. Sender: The person sending the email (e.g., boss, client, etc.) |
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2. Email Subject: The subject of the email (e.g., About scheduling a meeting) |
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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?) |
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4. What you want to say: The desired response (e.g., I am available after 2 PM.) |
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5. Length: The desired length of the response (e.g., Within 100 characters) |
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Output: |
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Generate a reply that addresses the sender's message, incorporates the user's desired response, and maintains a professional tone. |
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Examples: |
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Sender: Client |
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Email Subject: About scheduling a meeting |
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Email Message: I would like to adjust the time for tomorrow's meeting, are you available in the afternoon? |
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What you want to say: I am available after 2 PM. |
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Length: 100 characters |
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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] |
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Please generate a reply based on the provided inputs. |
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--- |
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- Sender: {sender}, |
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- Email Subject : {subject}, |
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- Content of the recipient's email:{message}, |
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- What you want to say:{reply}, |
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--- |
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""" |
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def init_page(): |
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st.set_page_config( |
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page_title="Email Reply AI Agent", |
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page_icon="βοΈ" |
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) |
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st.header("Email Reply AI Agent βοΈ") |
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def select_model(temperature=0): |
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models = ("GPT-4o","GPT-4o-mini", "Claude 3.5 Sonnet", "Gemini 1.5 Pro") |
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model_choice = st.radio("Choose a model:", models) |
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if model_choice == "GPT-4o": |
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return ChatOpenAI(temperature=temperature, model_name="gpt-4o") |
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elif model_choice == "GPT-4o-mini": |
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return ChatOpenAI(temperature=temperature, model_name="gpt-4o-mini") |
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elif model_choice == "Claude 3.5 Sonnet": |
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return ChatAnthropic(temperature=temperature, model_name="claude-3-5-sonnet-20240620") |
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elif model_choice == "Gemini 1.5 Pro": |
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return ChatGoogleGenerativeAI(temperature=temperature, model="gemini-1.5-pro-latest") |
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def init_chain(): |
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llm = select_model() |
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prompt = ChatPromptTemplate.from_messages([ |
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("user", PROMPT), |
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]) |
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output_parser = StrOutputParser() |
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chain = prompt | llm | output_parser |
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return chain |
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def main(): |
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init_page() |
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chain = init_chain() |
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if chain: |
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sender = st.selectbox("Sender",("Co-worker", "Boss", "Client", "Friend"),key="sender") |
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subject = st.text_input("Email Subject (e.g., About scheduling a meeting)", key="subject") |
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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") |
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reply = st.text_input("What you want to say: (e.g., I am available after 2 PM.)", key="reply") |
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if st.button("θΏδΏ‘γηζγγ"): |
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result = chain.stream({"sender": sender, "subject": subject, "message": message, "reply": reply}) |
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st.write(result) |
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if __name__ == '__main__': |
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main() |
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st.markdown( |
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""" |
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<style> |
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/* Custom style adjustments */ |
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.st-emotion-cache-iiif1v { display: none !important; } |
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</style> |
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""", |
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unsafe_allow_html=True, |
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) |