Update app.py

app.py

@@ -47,9 +47,6 @@ GOOGLE_AI_STUDIO = os.environ.get('GOOGLE_API_KEY')
 if not GOOGLE_AI_STUDIO:
     raise ValueError("API key not found. Please set the GOOGLE_AI_STUDIO2 environment variable.")
 
-# Set gemini_llm
-gemini_llm = GoogleGenerativeAI(model="gemini-pro", google_api_key=GOOGLE_AI_STUDIO)
-
 
 
 
@@ -104,6 +101,7 @@ print("google-generativeai:", genai.__version__)
 
 GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
 
+TITLE_INTRO = """<h1 align="center">Introduction to Financial Manager</h1>"""
 
 TITLE1 = """<h1 align="center">Company Analysis</h1>"""
 TITLE2 = """<h1 align="center">Investment Strategy</h1>"""
@@ -335,6 +333,81 @@ bot_inputs = [
     chatbot_component
 ]
 
+
+
+
+
+# Gmix ++++++++++++++++++++++++++++++++++++++++++++++++
+
+#Crew imports
+from crewai import Agent, Task, Crew, Process
+
+# Set gemini_llm
+gemini_llm = GoogleGenerativeAI(model="gemini-pro", google_api_key=GOOGLE_AI_STUDIO)
+
+def crewai_process(research_topic):
+    # Define your agents with roles and goals
+    researcher = Agent(
+        role='Senior Research Analyst',
+        goal=f'Uncover cutting-edge developments in {research_topic}',
+        backstory="""You are a Senior Research Analyst at a leading think tank.
+        Your expertise lies in identifying emerging trends. You have a knack for dissecting complex data and presenting
+        actionable insights.""",
+        verbose=True,
+        allow_delegation=False,
+        llm = gemini_llm,
+        tools=[
+                GeminiSearchTools.gemini_search
+      ]
+
+    )
+    writer = Agent(
+        role='Tech Content Strategist',
+        goal='Craft compelling content on tech advancements',
+        backstory="""You are a renowned Tech Social Media Content Writer and Strategist, known for your insightful
+        and engaging articles on technology and innovation. With a deep understanding of
+        the tech industry and how people are impacted by it, you transform complex concepts into compelling narratives.""",
+        verbose=True,
+        allow_delegation=True,
+        llm = gemini_llm
+     
+        # Add tools and other optional parameters as needed
+    )
+
+    # Create tasks for your agents
+    task1 = Task(
+        description=f"""Conduct a comprehensive analysis of the latest advancements in {research_topic}.
+        Compile your findings in a detailed report. Your final answer MUST be a full analysis report""",
+        agent=researcher
+    )
+
+    task2 = Task(
+        description="""Using the insights from the researcher's report, develop an engaging blog
+        post that highlights the most significant advancements.
+        Your post should be informative yet accessible, catering to a tech-savvy audience.
+        Aim for a narrative that captures the essence of these breakthroughs and their
+        implications for the future. Your final answer MUST be the full blog post of at least 3 paragraphs.""",
+        agent=writer
+    )
+
+    # Instantiate your crew with a sequential process
+    crew = Crew(
+        agents=[researcher, writer],
+        tasks=[task1, task2],
+        verbose=2,
+        process=Process.sequential
+    )
+
+    # Get your crew to work!
+    result = crew.kickoff()
+    
+    return result
+
+
+
+
+
+
 # Portfolio Analysis +++++++++++++++++++++++++++++++++++
 
 def plot_cum_returns(data, title):    
@@ -413,11 +486,18 @@ def output_results(start_date, end_date, tickers_string):
             expected_annual_return, annual_volatility, sharpe_ratio, fig_indiv_prices, fig_cum_returns
 
 
+# Interface =============================================
 
+with gr.Tab("Introduction"):
+    gr.HTML(TITLE_INTRO)
 
-
-
-# Interface =============================================
+with gr.Tab("Your Portfolio"):
+    gr.HTML(TITLE_INTRO)
+    fn=crewai_process, 
+    inputs=gr.Textbox(lines=2, placeholder="Enter Research Topic Here..."), 
+    outputs="text",
+    title="CrewAI on Gemini (Blog Post Writer)",
+    description="Input a research topic to get a comprehensive analysis (in logs) and a blog post draft (in output). To lea
 
 with gr.Blocks() as demo:
     with gr.Tab("Portfolio Analysis"):