Create app.py
Browse files
app.py
ADDED
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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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###### dotenv γε©η¨γγε ΄ε ######
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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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################################################
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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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# Style adjustments (optional, remove if not needed)
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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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)
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