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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +46 -5
src/streamlit_app.py
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@@ -1,7 +1,8 @@
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import asyncio
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import streamlit as st
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from typing import Dict, Any, List
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from agents import Agent, Runner, trace
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from firecrawl import FirecrawlApp
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from agents.tool import function_tool
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@@ -38,4 +39,44 @@ with st.sidebar:
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st.session_state.firecrawl_api_key = firecrawl_api_key
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set_default_openai_key(firecrawl_api_key)
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import asyncio # This will helpus to handle tasks without blocking execution
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import streamlit as st # Build the web application
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from typing import Dict, Any, List
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from agents import Agent, Runner, trace
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from agents import set_default_openai_key
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from firecrawl import FirecrawlApp
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from agents.tool import function_tool
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st.session_state.firecrawl_api_key = firecrawl_api_key
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set_default_openai_key(firecrawl_api_key)
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st.title("Openai Deep Research Agent")
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st.markdown("This openai agent from openi agent SDK performs deep search on any topic")
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reasearch_topic = st.text_input("Enter research topic: ")
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@function_tool
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async def deep_research(query: str, max_depth: int, time_limit: int, max_urls: int):
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"""
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Perform comprehensive web research using Firecrawl's deep research endpoint.
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"""
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try:
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firecrawl_app = FirecrawlApp(api_key = st.session_state.firecrawl_api_key)
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params = {
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"maxDepth": max_depth,
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"timeLimit": time_limit,
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"maxUrls": max_urls
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}
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def on_activity(activity):
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st.write(f"[{activity['type']}]{activity['message']}")
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with st.spinner("Performing Deep Research..."):
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resp = firecrawl_app.deep_research(
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query = query,
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param = param,
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on_activity = on_activity
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)
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return {
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"success" : True,
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"final_analysis" : resp["data"]["finalAnalysis"]
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"sources_count": len(resp["data"]["sources"]),
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"sources":resp["data"]["sources"]
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}
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except Exception as e:
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st.error(f"Deep Research Error: {str(e)}")
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return {
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"error" : str(e),
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"success" : False
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}
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