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import streamlit as st
import asyncio
from research import deep_research
from PIL import Image
# Page configuration
st.set_page_config(
page_title="Open DeepResearch",
page_icon="π",
layout="wide",
initial_sidebar_state="expanded"
)
# Load images
logo = Image.open('logo.png')
banner = Image.open('banner.png')
# Display banner at top
# st.image(banner, use_container_width=True)
# Custom CSS
st.markdown("""
<style>
.stImage > img {
border-radius: 10px;
margin-bottom: 2rem;
}
.api-container {
background-color: #f8f9fa;
padding: 1.5rem;
border-radius: 10px;
margin-bottom: 2rem;
border: 1px solid #e0e0e0;
}
.api-header {
color: #1E88E5;
font-size: 1.2rem;
margin-bottom: 1rem;
}
</style>
""", unsafe_allow_html=True)
# Initialize session state
if 'api_keys_configured' not in st.session_state:
st.session_state.api_keys_configured = False
# Sidebar configuration
with st.sidebar:
st.image(logo, width=200, use_container_width=True)
st.markdown("### βοΈ API Configuration")
with st.expander("Configure API Keys", expanded=not st.session_state.api_keys_configured):
api_form = st.form("api_keys_form")
with api_form:
openrouter_key = api_form.text_input(
"OpenRouter API Key",
type="password",
value=st.session_state.get('openrouter_key', ''),
help="Required for language model access"
)
serpapi_key = api_form.text_input(
"SerpAPI Key",
type="password",
value=st.session_state.get('serpapi_key', ''),
help="Required for web search functionality"
)
jina_key = api_form.text_input(
"Jina API Key",
type="password",
value=st.session_state.get('jina_key', ''),
help="Required for content extraction"
)
if api_form.form_submit_button("Save API Keys"):
if not all([openrouter_key, serpapi_key, jina_key]):
st.error("β All API keys are required!")
else:
st.session_state.openrouter_key = openrouter_key
st.session_state.serpapi_key = serpapi_key
st.session_state.jina_key = jina_key
st.session_state.api_keys_configured = True
st.success("β
API keys saved successfully!")
st.rerun()
if st.session_state.api_keys_configured:
st.success("β
API Keys configured")
st.markdown("### π Get API Keys")
st.markdown("""
- [OpenRouter API Key](https://openrouter.ai/keys)
- [SerpAPI Key](https://serpapi.com/manage-api-key)
- [Jina API Key](https://jina.ai/api-key)
""")
def run_research(user_query, iteration_limit, search_limit):
deep_research.OPENROUTER_API_KEY = st.session_state.openrouter_key
deep_research.SERPAPI_API_KEY = st.session_state.serpapi_key
deep_research.JINA_API_KEY = st.session_state.jina_key
return asyncio.run(deep_research.research_flow(user_query, iteration_limit, search_limit))
# Main content
st.title("π Open DeepResearch")
st.markdown("""
<div style='background-color: #5dade2; padding: 1rem; border-radius: 10px; margin-bottom: 2rem;'>
<h4 style='color: #1565C0; margin-bottom: 0.5rem;'>Welcome to the Open DeepResearch!</h4>
<p style='color: #424242;'>
This application helps you conduct comprehensive research on any topic by:
<br>
β’ Generating relevant search queries<br>
β’ Analyzing multiple sources<br>
β’ Synthesizing information into a detailed report
</p>
</div>
""", unsafe_allow_html=True)
with st.container():
col1, col2 = st.columns([2, 1])
with col1:
with st.form("research_form", clear_on_submit=False):
st.markdown("### Research Parameters")
user_query = st.text_area(
"Research Query",
placeholder="Enter your research topic or question here...",
help="Be as specific as possible for better results",
height=100,
disabled=not st.session_state.api_keys_configured
)
col_a, col_b = st.columns(2)
with col_a:
iter_limit_input = st.number_input(
"Maximum Iterations",
min_value=1,
max_value=20,
value=10,
help="Higher values mean more thorough research but longer processing time",
disabled=not st.session_state.api_keys_configured
)
with col_b:
search_limit_input = st.number_input(
"Results Per Search",
min_value=1,
max_value=20,
value=5,
help="Number of results per search. Lower values reduce token usage",
disabled=not st.session_state.api_keys_configured
)
submitted = st.form_submit_button(
"π Start Research",
disabled=not st.session_state.api_keys_configured
)
with col2:
st.markdown("### Tips for Better Results")
st.info("""
β’ Be specific in your query
β’ Use clear, focused questions
β’ Consider including relevant keywords
β’ Specify time periods if applicable
β’ Lower search results reduce token usage
""")
if not st.session_state.api_keys_configured:
st.warning("β οΈ Please configure your API keys in the sidebar to enable research.")
if submitted and st.session_state.api_keys_configured:
if not user_query.strip():
st.error("β οΈ Please enter a research query before proceeding.")
else:
try:
with st.spinner("π Conducting research... This may take a few minutes..."):
final_report = run_research(user_query, int(iter_limit_input), int(search_limit_input))
st.markdown("""
<div class='report-container'>
<h3 style='color: #1E88E5; margin-bottom: 1rem;'>π Research Report</h3>
</div>
""", unsafe_allow_html=True)
tab1, tab2 = st.tabs(["π Formatted Report", "π Raw Text"])
with tab1:
st.markdown(final_report)
with tab2:
st.text_area(
label="",
value=final_report,
height=500,
help="You can copy the raw text from here"
)
st.download_button(
label="π₯ Download Report",
data=final_report,
file_name="research_report.txt",
mime="text/plain"
)
except Exception as e:
st.error(f"β An error occurred during research: {str(e)}")
st.markdown("""
<div style='background-color: #ffebee; padding: 1rem; border-radius: 10px;'>
<p style='color: #c62828;'>Please try again with a different query or contact support if the issue persists.</p>
</div>
""", unsafe_allow_html=True)
st.markdown("""
<div style='text-align: center; color: #666; padding: 2rem;'>
<p>Built by GitsSaikat β€οΈ</p>
</div>
""", unsafe_allow_html=True) |