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gemini-streamlit.py
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32 lines (26 loc) · 780 Bytes
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import streamlit as st
from praisonaiagents import Agent
st.title("Gemini 2.0 Thinking AI Agent")
# Initialize the agent
@st.cache_resource
def get_agent():
llm_config = {
"model": "gemini/gemini-2.0-flash-thinking-exp-01-21",
"response_format": {"type": "text"}
}
return Agent(
instructions="You are a helpful assistant",
llm=llm_config
)
agent = get_agent()
# Create text area input field
user_question = st.text_area("Ask your question:", height=150)
# Add ask button
if st.button("Ask"):
if user_question:
with st.spinner('Thinking...'):
result = agent.start(user_question)
st.write("### Answer")
st.write(result)
else:
st.warning("Please enter a question")