eaglelandsonce
commited on
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3a698b7
1
Parent(s):
a8ed030
Update app.py
Browse files
app.py
CHANGED
@@ -13,11 +13,86 @@ GOOGLE_AI_STUDIO = os.environ.get('GOOGLE_AI_STUDIO2')
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if not GOOGLE_AI_STUDIO:
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raise ValueError("API key not found. Please set the GOOGLE_AI_STUDIO2 environment variable.")
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-
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from stock_analysis_agents import StockAnalysisAgents
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from stock_analysis_tasks import StockAnalysisTasks
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@@ -68,7 +143,7 @@ iface = gr.Interface(
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#if __name__ == "__main__":
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iface.launch()
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-
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# Therapy Group
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if not GOOGLE_AI_STUDIO:
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raise ValueError("API key not found. Please set the GOOGLE_AI_STUDIO2 environment variable.")
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+
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# Crew Bot: https://chat.openai.com/g/g-qqTuUWsBY-crewai-assistant
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# Base Example researcher &
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def crewai_process(research_topic):
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# Define your agents with roles and goals
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researcher = Agent(
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role='Senior Research Analyst',
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goal=f'Uncover cutting-edge developments in AI and data science in {research_topic}',
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backstory="""You are a Senior Research Analyst at a leading tech think tank.
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Your expertise lies in identifying emerging trends and technologies in AI and
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data science. You have a knack for dissecting complex data and presenting
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actionable insights.""",
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verbose=True,
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allow_delegation=False
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# Add tools and other optional parameters as needed
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)
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writer = Agent(
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role='Tech Content Strategist',
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goal='Craft compelling content on tech advancements',
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backstory="""You are a renowned Tech Content Strategist, known for your insightful
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and engaging articles on technology and innovation. With a deep understanding of
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the tech industry, you transform complex concepts into compelling narratives.""",
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verbose=True,
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allow_delegation=True
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# Add tools and other optional parameters as needed
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)
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# Create tasks for your agents
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task1 = Task(
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description=f"""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
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Identify key trends, breakthrough technologies, and potential industry impacts in {research_topic}.
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Compile your findings in a detailed report. Your final answer MUST be a full analysis report""",
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agent=researcher
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)
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task2 = Task(
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description="""Using the insights from the researcher's report, develop an engaging blog
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post that highlights the most significant AI advancements.
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Your post should be informative yet accessible, catering to a tech-savvy audience.
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Aim for a narrative that captures the essence of these breakthroughs and their
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implications for the future. Your final answer MUST be the full blog post of at least 3 paragraphs.""",
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agent=writer
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)
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# Instantiate your crew with a sequential process
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crew = Crew(
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agents=[researcher, writer],
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tasks=[task1, task2],
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verbose=2,
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process=Process.sequential
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)
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# Get your crew to work!
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result = crew.kickoff()
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return result
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# Create a Gradio interface
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iface = gr.Interface(
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fn=crewai_process,
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inputs=gr.Textbox(lines=2, placeholder="Enter Research Topic Here..."),
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outputs="text",
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title="CrewAI Research and Writing Assistant",
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description="Input a research topic to get a comprehensive analysis and a blog post draft."
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)
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# Launch the interface
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iface.launch()
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# Stock Evaluation
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'''
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from stock_analysis_agents import StockAnalysisAgents
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from stock_analysis_tasks import StockAnalysisTasks
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#if __name__ == "__main__":
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iface.launch()
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'''
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# Therapy Group
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