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import streamlit as st
import os
import google.generativeai as genai
#genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
#FUCTION TO LOAD Gemini Pro Model and get response
model=genai.GenerativeModel("gemini-pro")
chat=model.start_chat(history=[])
def get_gemini_response(question):
context = '''"Your name is Ramya. You are a friendly bot and were created for the well-being of the society. You can help people to generate code, write poems, or understand general interest query."
Examples=[
InputOutputTextPair(
input_text="What is your name?",
output_text="My name is Ramya."),
InputOutputTextPair(
input_text="What can you do for me?",
output_text="I can help you generate code, write poems or understand general interest queries.")
]
REMEMBER: Don't give answers when you are not sure about the answer.'''
#response = chat.send_message(context+" "+question, stream=True)
response = model.generate_content([context, question])
return response
st.set_page_config(page_title="Q&A Demo")
st.header("Ask Ramya?")
st.subheader("Zindagi se pareshaan? I am here meri jaan.")
#Initialize session state for chat history if it doesn't exist
# if 'chat_history' not in st.session_state:
# st.session_state['chat_history'] = []
input = st.text_input("Input:", key="input")
submit = st.button("Ask the question")
if submit and input:
response = get_gemini_response(input)
#Add user query and response to session chat history
#st.session_state['chat_history'].append(("You",input))
st.subheader("The Response is")
# for chunk in response:
# st.write(chunk.parts)
#st.session_state['chat_history'].append(("Bot", chunk.text))
st.write(response.text)
#st.write(response.text)
#st.subheader("The Chat history is")
# for role, text in st.session_state['chat_history']:
# st.write(f"{role}:{text}")
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