import streamlit as st  
import google.generativeai as genai  
from dotenv import load_dotenv  
import os  
  
# Load environment variables  
load_dotenv()  
  
# Configure Google Generative AI with API key  
api_key = os.getenv("GENERATIVEAI_API_KEY")  
genai.configure(api_key=api_key)  
  
# Global variable to maintain chat session  
chat = None  
  
# Generation configuration and safety settings  
generation_config = {  
    "temperature": 0.9,  
    "top_p": 0.5,  
    "top_k": 5,  
    "max_output_tokens": 1000,  
}  
  
safety_settings = [  
    {  
        "category": "HARM_CATEGORY_HARASSMENT",  
        "threshold": "BLOCK_MEDIUM_AND_ABOVE"  
    },  
    {  
        "category": "HARM_CATEGORY_HATE_SPEECH",  
        "threshold": "BLOCK_MEDIUM_AND_ABOVE"  
    },  
    {  
        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",  
        "threshold": "BLOCK_MEDIUM_AND_ABOVE"  
    },  
    {  
        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",  
        "threshold": "BLOCK_MEDIUM_AND_ABOVE"  
    },  
]  
  
# Function to handle text summary requests  
def text_summary(text, isNew=False):  
    global chat  
  
    if isNew or chat is None:  # Start a new chat session  
        model = genai.GenerativeModel(  
            model_name="gemini-pro",  
            generation_config=generation_config,  
            safety_settings=safety_settings  
        )  
        chat = model.start_chat()  
        chat.send_message("""  
        Act as a financial advisor and generate financial summaries in a structured and tabular format. Follow these guidelines strictly:  
  
        - Start each section with a clear title in <strong> tags.  
        - For key metrics, use a table with two columns: one for the metric name and one for its value.  
        - Use bullet points only for listing risks and growth prospects.  
        - Ensure each section is clearly separated with line breaks.  
        - Do not use bold or italic formatting (, *), except for the specified HTML tags.  
  
        Example format:  
  
        <strong>Company Overview</strong><br/>  
        <p>Company Name: {Company Name}</p>  
        <p>Description: {Company Description}</p>  
        <br/><br/>  
  
        <strong>Stock Performance</strong><br/>  
        <p>Apple Inc. (AAPL) is a highly valued stock...</p>  
        <br/><br/>  
  
        <strong>Key Metrics</strong><br/>  
        <table>  
            <tr>  
                <th>Metric</th>  
                <th>Value</th>  
            </tr>  
            <tr>  
                <td>Market Capitalization</td>  
                <td>$2.7 trillion</td>  
            </tr>  
            <tr>  
                <td>Stock Price</td>  
                <td>$170 per share</td>  
            </tr>  
            <tr>  
                <td>EPS (TTM)</td>  
                <td>$6.15</td>  
            </tr>  
            <tr>  
                <td>P/E Ratio</td>  
                <td>24.34</td>  
            </tr>  
        </table>  
        <br/><br/>  
  
        <strong>Growth Prospects</strong><br/>  
        <ul>  
            <li>iPhone sales growth in emerging markets.</li>  
            <li>Expansion of services revenue.</li>  
            <li>Increased demand for wearable devices.</li>  
            <li>Development of AR/VR technologies.</li>  
        </ul>  
        <br/><br/>  
  
        <strong>Risks</strong><br/>  
        <ul>  
            <li>Competition from other technology companies.</li>  
            <li>Dependence on iPhone sales.</li>  
            <li>Economic downturns.</li>  
            <li>Supply chain disruptions and geopolitical risks.</li>  
        </ul>  
        <br/><br/>  
  
        <strong>Overall</strong><br/>  
        <p>Apple Inc. is a financially strong company with a history of innovation...</p>  
        <br/><br/>  
        """)  
  
    # Send message and return response  
    response = chat.send_message(text)  
    return response.text  
  
# Streamlit UI  
st.title("Financial Summary Chatbot")  
st.write("Welcome to the Financial Summary Chatbot! Type a message to get a response from the chatbot.")  
  
# Input area for user text  
chat_input = st.text_area("Type a message:", "")  
  
# Button to submit the text  
if st.button("Send"):  
    if chat_input.strip():  
        response = text_summary(chat_input)  
        st.write("### Response:")  
        st.markdown(response, unsafe_allow_html=True)  
    else:  
        st.warning("Please enter a message to send.")