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import streamlit as st |
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from crewai import Agent, Task, Crew |
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import os |
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from langchain_groq import ChatGroq |
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from fpdf import FPDF |
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import pandas as pd |
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import plotly.express as px |
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import time |
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import datetime |
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from patent_data_api import fetch_patent_data |
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import numpy as np |
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st.title("🤖 Patent Insights Consultant") |
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st.sidebar.write( |
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"This Patent Insights Consultant uses a multi-agent system to provide actionable insights and data analysis for the patent domain." |
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) |
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patent_area = st.text_input('Enter Patent Technology Area', value="Artificial Intelligence") |
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stakeholder = st.text_input('Enter Stakeholder', value="Patent Attorneys") |
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i |
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st.sidebar.subheader("Advanced Options") |
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selected_region = st.sidebar.multiselect("Select Region(s)", options=["Global", "United States", "Europe", "China", "Other"], default=["Global"]) |
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start_date = st.sidebar.date_input("Start Date", value=datetime.date(2018, 1, 1)) |
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end_date = st.sidebar.date_input("End Date", value=datetime.date.today()) |
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subdomain = st.sidebar.text_input("Enter Technology Subdomain", value="Deep Learning") |
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enable_advanced_analysis = st.sidebar.checkbox("Enable Advanced Analysis", value=True) |
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enable_custom_visualization = st.sidebar.checkbox("Enable Custom Visualizations", value=True) |
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enable_customization = st.sidebar.checkbox("Enable Custom Goals") |
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if enable_customization: |
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planner_goal = st.text_area( |
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"Planner Goal", |
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value="Research trends in patent filings and technological innovation, identify key players, and provide strategic recommendations." |
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) |
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writer_goal = st.text_area( |
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"Writer Goal", |
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value="Craft a professional insights document summarizing trends, strategies, and actionable outcomes for stakeholders." |
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) |
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analyst_goal = st.text_area( |
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"Analyst Goal", |
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value="Perform detailed statistical analysis of patent filings, growth trends, and innovation distribution." |
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) |
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else: |
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planner_goal = "Research trends in patent filings and technological innovation, identify key players, and provide strategic recommendations." |
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writer_goal = "Craft a professional insights document summarizing trends, strategies, and actionable outcomes for stakeholders." |
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analyst_goal = "Perform detailed statistical analysis of patent filings, growth trends, and innovation distribution." |
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llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model="groq/llama-3.3-70b-versatile") |
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planner = Agent( |
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role="Patent Research Consultant", |
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goal=planner_goal, |
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backstory=( |
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"You're tasked with researching {topic} patents and identifying key trends and players. Your work supports the Patent Writer and Data Analyst." |
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), |
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allow_delegation=False, |
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verbose=True, |
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llm=llm |
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) |
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writer = Agent( |
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role="Patent Insights Writer", |
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goal=writer_goal, |
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backstory=( |
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"Using the research from the Planner and data from the Analyst, craft a professional document summarizing patent insights for {stakeholder}." |
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), |
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allow_delegation=False, |
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verbose=True, |
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llm=llm |
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) |
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analyst = Agent( |
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role="Patent Data Analyst", |
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goal=analyst_goal, |
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backstory=( |
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"Analyze patent filing data and innovation trends in {topic} to provide statistical insights. Your analysis will guide the Writer's final report." |
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), |
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allow_delegation=False, |
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verbose=True, |
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llm=llm |
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) |
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plan = Task( |
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description=( |
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"1. Research recent trends in {topic} patent filings and innovation.\n" |
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"2. Identify key players and emerging technologies.\n" |
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"3. Provide recommendations for stakeholders on strategic directions.\n" |
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"4. Limit the output to 500 words." |
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), |
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expected_output="A research document with structured insights and strategic recommendations.", |
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agent=planner |
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) |
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write = Task( |
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description=( |
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"1. Use the Planner's and Analyst's outputs to craft a professional patent insights document.\n" |
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"2. Include key findings, visual aids, and actionable strategies.\n" |
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"3. Align content with stakeholder goals.\n" |
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"4. Limit the document to 400 words." |
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), |
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expected_output="A polished, stakeholder-ready patent insights document.", |
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agent=writer |
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) |
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analyse = Task( |
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description=( |
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"1. Perform statistical analysis of patent filing trends, innovation hot spots, and growth projections.\n" |
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"2. Collaborate with the Planner and Writer to align on data needs.\n" |
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"3. Present findings in an actionable format." |
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), |
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expected_output="A detailed statistical analysis with actionable insights for stakeholders.", |
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agent=analyst |
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) |
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crew = Crew( |
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agents=[planner, analyst, writer], |
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tasks=[plan, analyse, write], |
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verbose=True |
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) |
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def generate_pdf_report(result): |
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pdf = FPDF() |
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pdf.add_page() |
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pdf.set_font("Arial", size=12) |
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pdf.set_auto_page_break(auto=True, margin=15) |
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pdf.set_font("Arial", size=16, style="B") |
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pdf.cell(200, 10, txt="Patent Insights Report", ln=True, align="C") |
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pdf.ln(10) |
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pdf.set_font("Arial", size=12) |
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pdf.multi_cell(0, 10, txt=result) |
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report_path = "Patent_Insights_Report.pdf" |
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pdf.output(report_path) |
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return report_path |
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def create_visualizations(analyst_output): |
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if enable_custom_visualization and analyst_output: |
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try: |
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data = pd.DataFrame(analyst_output) |
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st.markdown("### Advanced Visualizations") |
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fig1 = px.scatter(data, x="Category", y="Values", title="Innovation Trends by Category", size="Impact", color="Region") |
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st.plotly_chart(fig1) |
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fig2 = px.choropleth(data, locations="Region", color="Values", title="Regional Patent Trends", locationmode="country names") |
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st.plotly_chart(fig2) |
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fig3 = px.line(data, x="Year", y="Values", color="Category", title="Yearly Patent Filing Trends") |
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st.plotly_chart(fig3) |
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except Exception as e: |
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st.warning(f"Failed to create visualizations: {e}") |
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if st.button("Generate Patent Insights"): |
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with st.spinner('Processing...'): |
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try: |
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start_time = time.time() |
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real_time_data = fetch_patent_data( |
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technology_area=patent_area, region=selected_region, start_date=start_date, end_date=end_date, subdomain=subdomain |
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) |
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results = crew.kickoff(inputs={"topic": patent_area, "stakeholder": stakeholder, "data": real_time_data}) |
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elapsed_time = time.time() - start_time |
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st.markdown("### Final Report:") |
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writer_output = getattr(results.tasks_output[2], "raw", "No details available.") |
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if writer_output: |
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st.write(writer_output) |
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else: |
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st.warning("No final report available.") |
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with st.expander("Explore Detailed Insights"): |
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tab1, tab2 = st.tabs(["Planner's Insights", "Analyst's Analysis"]) |
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with tab1: |
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st.markdown("### Planner's Insights") |
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planner_output = getattr(results.tasks_output[0], "raw", "No details available.") |
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st.write(planner_output) |
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with tab2: |
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st.markdown("### Analyst's Analysis") |
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analyst_output = getattr(results.tasks_output[1], "raw", "No details available.") |
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st.write(analyst_output) |
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if enable_advanced_analysis: |
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create_visualizations(analyst_output) |
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st.success(f"Analysis completed in {elapsed_time:.2f} seconds.") |
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token_usage = getattr(results, "token_usage", None) |
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if token_usage: |
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st.markdown("#### Token Usage") |
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st.json(token_usage) |
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if writer_output: |
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report_path = generate_pdf_report(writer_output) |
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with open(report_path, "rb") as report_file: |
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st.download_button("Download Report", data=report_file, file_name="Patent_Report.pdf") |
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except Exception as e: |
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st.error(f"An error occurred during execution: {e}") |
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st.sidebar.markdown("---") |
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st.sidebar.markdown("### Reference:") |