Delete mylab/app3.py

mylab/app3.py

@@ -1,201 +0,0 @@
-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
-import datetime
-from patent_data_api import fetch_patent_data
-
-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."
-)
-
-patent_area = st.text_input('Enter Patent Technology Area', value="Artificial Intelligence")
-stakeholder = st.text_input('Enter Stakeholder', value="Patent Attorneys")
-
-st.sidebar.subheader("Advanced Options")
-
-selected_region = st.sidebar.selectbox("Select Region", options=["Global", "United States", "Europe", "China", "Other"])
-start_date = st.sidebar.date_input("Start Date", value=datetime.date(2018, 1, 1))
-end_date = st.sidebar.date_input("End Date", value=datetime.date.today())
-
-enable_advanced_analysis = st.sidebar.checkbox("Enable Advanced Analysis", value=True)
-enable_custom_visualization = st.sidebar.checkbox("Enable Custom Visualizations", value=True)
-
-enable_customization = st.sidebar.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 = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model="groq/llama-3.3-70b-versatile")
-
-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
-)
-
-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
-)
-
-crew = Crew(
-    agents=[planner, analyst, writer],
-    tasks=[plan, analyse, write],
-    verbose=True
-)
-
-def generate_pdf_report(result):
-    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 Insights Report", ln=True, align="C")
-    pdf.ln(10)
-
-    pdf.set_font("Arial", size=12)
-    pdf.multi_cell(0, 10, txt=result)
-
-    report_path = "Patent_Insights_Report.pdf"
-    pdf.output(report_path)
-    return report_path
-
-def create_visualizations(analyst_output):
-    if enable_custom_visualization and analyst_output:
-        try:
-            data = pd.DataFrame(analyst_output)
-            st.markdown("### Advanced Visualization")
-
-            fig = px.scatter(data, x="Category", y="Values", title="Innovation Trends by Category", size="Impact", color="Region")
-            st.plotly_chart(fig)
-        except Exception as e:
-            st.warning(f"Failed to create visualizations: {e}")
-
-if st.button("Generate Patent Insights"):
-    with st.spinner('Processing...'):
-        try:
-            start_time = time.time()
-
-            real_time_data = fetch_patent_data(
-                technology_area=patent_area, region=selected_region, start_date=start_date, end_date=end_date
-            )
-
-            results = crew.kickoff(inputs={"topic": patent_area, "stakeholder": stakeholder, "data": real_time_data})
-            elapsed_time = time.time() - start_time
-
-            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.")
-
-            with st.expander("Explore Detailed Insights"):
-                tab1, tab2 = st.tabs(["Planner's Insights", "Analyst's Analysis"])
-
-                with tab1:
-                    st.markdown("### Planner's Insights")
-                    planner_output = getattr(results.tasks_output[0], "raw", "No details available.")
-                    st.write(planner_output)
-
-                with tab2:
-                    st.markdown("### Analyst's Analysis")
-                    analyst_output = getattr(results.tasks_output[1], "raw", "No details available.")
-                    st.write(analyst_output)
-
-                    if enable_advanced_analysis:
-                        create_visualizations(analyst_output)
-
-            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)
-
-            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}")
-
-st.sidebar.markdown("---")
-st.sidebar.markdown("### Reference:")
-st.sidebar.markdown("[Multi-Agent Patent Consultant](https://example.com)")