Update app.py

app.py

@@ -1,61 +1,45 @@
-
 from crewai import *
-
-import os
-
-
-os.environ["OPENAI_API_KEY"] = "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"
-
-
-# Define your agents with roles and goals
-researcher = Agent(
-  role='Senior Research Analyst',
-  goal='Uncover cutting-edge developments in AI and data science in',
-  backstory="""You are a Senior Research Analyst at a leading tech think tank.
-  Your expertise lies in identifying emerging trends and technologies in AI and
-  data science. You have a knack for dissecting complex data and presenting
-  actionable insights.""",
-  verbose=True,
-  allow_delegation=False
-  
-)
-writer = Agent(
-  role='Tech Content Strategist',
-  goal='Craft compelling content on tech advancements',
-  backstory="""You are a renowned Tech Content Strategist, known for your insightful
-  and engaging articles on technology and innovation. With a deep understanding of
-  the tech industry, you transform complex concepts into compelling narratives.""",
-  verbose=True,
-  allow_delegation=False
+import gradio as gr
+
+def run_crew():
+    researcher = Agent(
+        role='Senior Research Analyst',
+        goal='Uncover cutting-edge developments in AI and data science',
+        backstory="""You are a Senior Research Analyst at a leading tech think tank...""",
+        verbose=True,
+        allow_delegation=False
+    )
+    writer = Agent(
+        role='Tech Content Strategist',
+        goal='Craft compelling content on tech advancements',
+        backstory="""You are a renowned Tech Content Strategist...""",
+        verbose=True,
+        allow_delegation=False
+    )
+    task1 = Task(
+        description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024...""",
+        agent=researcher
+    )
+    task2 = Task(
+        description="""Using the insights from the researcher's report, develop an engaging blog post...""",
+        agent=writer
+    )
+    crew = Crew(
+        agents=[researcher, writer],
+        tasks=[task1, task2],
+        verbose=2,
+        process=Process.sequential
+    )
+    result = crew.kickoff()
+    return result
+
+
+iface = gr.Interface(
+    fn=run_crew,
+    inputs=[],
+    outputs="text",
+    title="AI Research and Writing Crew",
+    description="Run a crew of AI agents to perform research and writing tasks."
 )
 
-# Create tasks for your agents
-task1 = Task(
-  description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
-  Identify key trends, breakthrough technologies, and potential industry impacts.
-  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 AI 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, # Crew verbose more will let you know what tasks are being worked on, you can set it to 1 or 2 to different logging levels
-  process=Process.sequential # Sequential process will have tasks executed one after the other and the outcome of the previous one is passed as extra content into this next.
-)
-
-# Get your crew to work!
-result = crew.kickoff()
-
-print("######################")
-print(result)
+iface.launch()