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from dotenv import load_dotenv
import streamlit as st
import os
import google.generativeai as genai
# Load environment variables
load_dotenv()
# Configure Gemini Pro model
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
model = genai.GenerativeModel("gemini-1.5-pro")
# Initialize Streamlit app
st.set_page_config(page_title="Gemmy")
# Custom header with centered text
header_html = """
<style>
.header {
text-align: center;
font-family: Arial, sans-serif;
font-size: 2em;
color: #F8F9F9;
margin-top: 50px;
margin-bottom: 20px;
}
</style>
<div class="header">
Gemmy
</div>
"""
st.markdown(header_html, unsafe_allow_html=True)
# Initialize session state for chat history
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
if 'chat_session' not in st.session_state:
st.session_state['chat_session'] = model.start_chat(history=[])
# Function to get response from Gemini model
def get_gemini_response():
question = st.session_state.input
chat = st.session_state['chat_session']
response = chat.send_message(question, stream=True)
response_text = "".join(chunk.text for chunk in response)
# Save question and response to chat history
st.session_state.chat_history.append({"question": question, "response": response_text})
# Clear the input box after submission
st.session_state.input = ""
# Display chat history
for entry in st.session_state.chat_history:
st.write(f"***You :*** {entry['question']}")
st.write(f"***Gemmy :*** {entry['response']}")
st.markdown("<hr>", unsafe_allow_html=True) # Add a line below each response
# Input box
st.text_input(" ", key="input", on_change=get_gemini_response, placeholder="Ask Gemmy")
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