Create app.py

thinktank/app.py

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+import streamlit as st
+from crewai import Agent, Task, Crew
+import os
+from langchain_groq import ChatGroq
+from fpdf import FPDF
+import pandas as pd
+import plotly.express as px
+import tempfile
+import time
+
+# Title and Application Introduction
+st.title("Patent Strategy and Innovation Consultant")
+st.sidebar.write(
+    "This application uses AI to provide actionable insights and comprehensive analysis for patent-related strategies."
+)
+
+# User Input Section
+st.sidebar.header("User Inputs")
+patent_area = st.text_input("Enter Patent Technology Area", value="Transparent Antennas for Windshields")
+stakeholder = st.text_input("Enter Stakeholder", value="Patent Attorneys")
+
+# Advanced Options
+st.sidebar.header("Advanced Options")
+enable_advanced_analysis = st.sidebar.checkbox("Enable Advanced Analysis", value=True)
+enable_custom_visualization = st.sidebar.checkbox("Enable Custom Visualizations", value=True)
+
+# Agent Customization
+st.sidebar.header("Agent Customization")
+with st.sidebar.expander("Customize Agent Goals", expanded=False):
+    enable_customization = st.checkbox("Enable Custom Goals")
+    if enable_customization:
+        planner_goal = st.text_area(
+            "Planner Goal",
+            value="Research trends in patent filings and technological innovation, identify key players, and provide strategic recommendations."
+        )
+        writer_goal = st.text_area(
+            "Writer Goal",
+            value="Craft a professional insights document summarizing trends, strategies, and actionable outcomes for stakeholders."
+        )
+        analyst_goal = st.text_area(
+            "Analyst Goal",
+            value="Perform detailed statistical analysis of patent filings, growth trends, and innovation distribution."
+        )
+    else:
+        planner_goal = "Research trends in patent filings and technological innovation, identify key players, and provide strategic recommendations."
+        writer_goal = "Craft a professional insights document summarizing trends, strategies, and actionable outcomes for stakeholders."
+        analyst_goal = "Perform detailed statistical analysis of patent filings, growth trends, and innovation distribution."
+
+# LLM Initialization
+llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model="groq/llama-3.3-70b-versatile")
+
+# Agent Definitions
+planner = Agent(
+    role="Patent Research Consultant",
+    goal=planner_goal,
+    backstory=(
+        "You're tasked with researching {topic} patents and identifying key trends and players. Your work supports the Patent Writer and Data Analyst."
+    ),
+    allow_delegation=False,
+    verbose=True,
+    llm=llm
+)
+
+writer = Agent(
+    role="Patent Insights Writer",
+    goal=writer_goal,
+    backstory=(
+        "Using the research from the Planner and data from the Analyst, craft a professional document summarizing patent insights for {stakeholder}."
+    ),
+    allow_delegation=False,
+    verbose=True,
+    llm=llm
+)
+
+analyst = Agent(
+    role="Patent Data Analyst",
+    goal=analyst_goal,
+    backstory=(
+        "Analyze patent filing data and innovation trends in {topic} to provide statistical insights. Your analysis will guide the Writer's final report."
+    ),
+    allow_delegation=False,
+    verbose=True,
+    llm=llm
+)
+
+# Task Definitions
+plan = Task(
+    description=(
+        "1. Research recent trends in {topic} patent filings and innovation.\n"
+        "2. Identify key players and emerging technologies.\n"
+        "3. Provide recommendations for stakeholders on strategic directions.\n"
+        "4. Identify key statistics such as top regions, top players, and hot areas of innovation.\n"
+        "5. Limit the output to 500 words."
+    ),
+    expected_output="A research document with structured insights, strategic recommendations, and key statistics.",
+    agent=planner
+)
+
+write = Task(
+    description=(
+        "1. Use the Planner's and Analyst's outputs to craft a professional patent insights document.\n"
+        "2. Include key findings, visual aids, and actionable strategies.\n"
+        "3. Suggest strategic directions and highlight untapped innovation areas.\n"
+        "4. Incorporate summarized tables for key statistics and example inventions.\n"
+        "5. Limit the document to 600 words."
+    ),
+    expected_output="A polished, stakeholder-ready patent insights document with actionable recommendations.",
+    agent=writer
+)
+
+analyse = Task(
+    description=(
+        "1. Perform statistical analysis of patent filing trends, innovation hot spots, and growth projections.\n"
+        "2. Identify top regions, key players, and technology combinations.\n"
+        "3. Generate visualizations such as heatmaps and multi-line charts for trends.\n"
+        "4. Provide structured output with fields 'Category' and 'Values' for visualization.\n"
+        "5. Collaborate with the Planner and Writer to align on data needs."
+    ),
+    expected_output="A detailed statistical analysis with actionable insights, heatmaps, and trends.",
+    agent=analyst
+)
+
+crew = Crew(
+    agents=[planner, analyst, writer],
+    tasks=[plan, analyse, write],
+    verbose=True
+)
+
+# PDF Report Generation
+def generate_pdf_report(result, charts=None, table_data=None, metadata=None):
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as temp_pdf:
+        pdf = FPDF()
+        pdf.add_page()
+        pdf.set_font("Arial", size=12)
+        pdf.set_auto_page_break(auto=True, margin=15)
+
+        pdf.set_font("Arial", size=16, style="B")
+        pdf.cell(200, 10, txt="Patent Strategy and Innovation Report", ln=True, align="C")
+        pdf.ln(10)
+
+        if metadata:
+            pdf.set_font("Arial", size=10)
+            for key, value in metadata.items():
+                pdf.cell(200, 10, txt=f"{key}: {value}", ln=True)
+
+        pdf.set_font("Arial", size=12)
+        pdf.multi_cell(0, 10, txt=result)
+
+        if charts:
+            for chart_path in charts:
+                pdf.add_page()
+                pdf.image(chart_path, x=10, y=20, w=180)
+
+        if table_data:
+            pdf.add_page()
+            pdf.set_font("Arial", size=10)
+            for row in table_data:
+                pdf.cell(200, 10, txt=str(row), ln=True)
+
+        pdf.output(temp_pdf.name)
+        return temp_pdf.name
+
+# Data Validation
+def validate_analyst_output(analyst_output):
+    if not analyst_output:
+        st.warning("No data available for analysis.")
+        return None
+    if not isinstance(analyst_output, list) or not all(isinstance(item, dict) for item in analyst_output):
+        st.warning("Analyst output must be a list of dictionaries.")
+        return None
+    required_keys = {'Category', 'Values'}
+    if not all(required_keys.issubset(item.keys()) for item in analyst_output):
+        st.warning(f"Each dictionary must contain keys: {required_keys}")
+        return None
+    return analyst_output
+
+# Visualization and Table Display
+def create_visualizations(analyst_output):
+    chart_paths = []
+    validated_data = validate_analyst_output(analyst_output)
+    if validated_data:
+        data = pd.DataFrame(validated_data)
+        try:
+            bar_chart = px.bar(data, x="Category", y="Values", title="Patent Trends by Category")
+            st.plotly_chart(bar_chart)
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_chart:
+                bar_chart.write_image(temp_chart.name)
+                chart_paths.append(temp_chart.name)
+
+            pie_chart = px.pie(data, names="Category", values="Values", title="Category Distribution")
+            st.plotly_chart(pie_chart)
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_chart:
+                pie_chart.write_image(temp_chart.name)
+                chart_paths.append(temp_chart.name)
+
+            heatmap_chart = px.density_heatmap(data, x="Category", y="Values", title="Regional Patent Density")
+            st.plotly_chart(heatmap_chart)
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_chart:
+                heatmap_chart.write_image(temp_chart.name)
+                chart_paths.append(temp_chart.name)
+
+        except Exception as e:
+            st.error(f"Error generating visualization: {e}")
+    return chart_paths
+
+def display_table(analyst_output):
+    table_data = []
+    validated_data = validate_analyst_output(analyst_output)
+    if validated_data:
+        data = pd.DataFrame(validated_data)
+        st.dataframe(data)
+        table_data = data.to_dict(orient="records")
+    return table_data
+
+# Main Execution Block
+if st.button("Generate Patent Insights"):
+    with st.spinner('Processing...'):
+        try:
+            start_time = time.time()
+            results = crew.kickoff(inputs={"topic": patent_area, "stakeholder": stakeholder})
+            elapsed_time = time.time() - start_time
+
+            writer_output = getattr(results.tasks_output[2], "raw", "No details available.")
+            if writer_output:
+                st.markdown("### Final Report")
+                st.write(writer_output)
+            else:
+                st.warning("No final report available.")
+
+            with st.expander("Explore Detailed Insights"):
+                tab1, tab2 = st.tabs(["Planner's Insights", "Analyst's Analysis"])
+
+                with tab1:
+                    planner_output = getattr(results.tasks_output[0], "raw", "No details available.")
+                    st.write(planner_output)
+
+                with tab2:
+                    analyst_output = getattr(results.tasks_output[1], "raw", "No details available.")
+                    st.write(analyst_output)
+
+                    charts = []
+                    if enable_advanced_analysis:
+                        charts = create_visualizations(analyst_output)
+
+                    table_data = display_table(analyst_output)
+
+            st.success(f"Analysis completed in {elapsed_time:.2f} seconds.")
+            pdf_path = generate_pdf_report(writer_output, charts=charts, table_data=table_data, metadata={"Technology Area": patent_area, "Stakeholder": stakeholder})
+            with open(pdf_path, "rb") as report_file:
+                st.download_button("Download Report", data=report_file, file_name="Patent_Strategy_Report.pdf")
+
+        except Exception as e:
+            st.error(f"An error occurred during execution: {e}")