Create app.py

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 time
+
+# Title and Sidebar
+st.title("Patent Insights Consultant")
+
+st.sidebar.write(
+    "This Patent Insights Consultant uses a multi-agent system to provide actionable insights and data analysis for the patent domain."
+)
+
+# User Inputs
+patent_area = st.text_input('Enter Patent Technology Area', value="Artificial Intelligence")
+stakeholder = st.text_input('Enter Stakeholder', value="Patent Attorneys")
+
+# Optional Customization
+st.sidebar.subheader("Agent Customization")
+
+# Display customization section in a collapsible expander
+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 Object
+#=================
+llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model="groq/llama-3.3-70b-versatile")
+
+#=================
+# Crew Agents
+#=================
+
+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
+)
+
+#=================
+# Crew Tasks
+#=================
+
+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. Limit the output to 500 words."
+    ),
+    expected_output="A research document with structured insights and strategic recommendations.",
+    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. Align content with stakeholder goals.\n"
+        "4. Limit the document to 400 words."
+    ),
+    expected_output="A polished, stakeholder-ready patent insights document.",
+    agent=writer
+)
+
+analyse = Task(
+    description=(
+        "1. Perform statistical analysis of patent filing trends, innovation hot spots, and growth projections.\n"
+        "2. Collaborate with the Planner and Writer to align on data needs.\n"
+        "3. Present findings in an actionable format."
+    ),
+    expected_output="A detailed statistical analysis with actionable insights for stakeholders.",
+    agent=analyst
+)
+
+#=================
+# Execution
+#=================
+
+crew = Crew(
+    agents=[planner, analyst, writer],
+    tasks=[plan, analyse, write],
+    verbose=True
+)
+
+def generate_pdf_report(result):
+    """Generate a professional PDF report from the Crew output."""
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", size=12)
+    pdf.set_auto_page_break(auto=True, margin=15)
+
+    # Title
+    pdf.set_font("Arial", size=16, style="B")
+    pdf.cell(200, 10, txt="Patent Insights Report", ln=True, align="C")
+    pdf.ln(10)
+
+    # Content
+    pdf.set_font("Arial", size=12)
+    pdf.multi_cell(0, 10, txt=result)
+
+    # Save PDF
+    report_path = "Patent_Insights_Report.pdf"
+    pdf.output(report_path)
+    return report_path
+
+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
+
+            # Display Final Report (Writer's Output)
+            st.markdown("### Final Report:")
+            writer_output = getattr(results.tasks_output[2], "raw", "No details available.")
+            if writer_output:
+                st.write(writer_output)
+            else:
+                st.warning("No final report available.")
+
+            # Option for Detailed Insights
+            with st.expander("Explore Detailed Insights"):
+                tab1, tab2 = st.tabs(["Planner's Insights", "Analyst's Analysis"])
+
+                # Planner's Output
+                with tab1:
+                    st.markdown("### Planner's Insights")
+                    planner_output = getattr(results.tasks_output[0], "raw", "No details available.")
+                    st.write(planner_output)
+
+                # Analyst's Output
+                with tab2:
+                    st.markdown("### Analyst's Analysis")
+                    analyst_output = getattr(results.tasks_output[1], "raw", "No details available.")
+                    st.write(analyst_output)
+
+            # Display Token Usage and Execution Time
+            st.success(f"Analysis completed in {elapsed_time:.2f} seconds.")
+            token_usage = getattr(results, "token_usage", None)
+            if token_usage:
+                st.markdown("#### Token Usage")
+                st.json(token_usage)
+
+            # Generate PDF Report
+            if writer_output:
+                report_path = generate_pdf_report(writer_output)
+                with open(report_path, "rb") as report_file:
+                    st.download_button("Download Report", data=report_file, file_name="Patent_Report.pdf")
+
+        except Exception as e:
+            st.error(f"An error occurred during execution: {e}")
+
+# Add reference and credits in the sidebar
+st.sidebar.markdown("---")
+st.sidebar.markdown("### Reference:")