Create app.py

app.py

@@ -0,0 +1,84 @@
+import os
+import gradio as gr
+from crewai import Agent, Task, Crew, Process
+from crewai_tools import SerperDevTool
+from langchain_groq import ChatGroq
+
+# Set up environment variables
+os.environ["GROQ_API_KEY"] = "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"
+os.environ["SERPER_API_KEY"] = "206256c6acfbcd5a46195f3312aaa7e8ed38ae5f"
+
+# Initialize Groq LLM
+groq_llm = ChatGroq(
+    model_name="mixtral-8x7b-32768",
+    temperature=0.7,
+    max_tokens=32768
+)
+
+# Initialize search tool
+search_tool = SerperDevTool()
+
+# Define agents
+researcher = Agent(
+    role='Senior Research Analyst',
+    goal='Uncover cutting-edge developments in AI and data science',
+    backstory="""You work at a leading tech 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=groq_llm,
+    tools=[search_tool]
+)
+
+writer = Agent(
+    role='Tech Content Strategist',
+    goal='Craft compelling content on tech advancements',
+    backstory="""You are a renowned Content Strategist, known for your insightful and engaging articles.
+    You transform complex concepts into compelling narratives.""",
+    verbose=True,
+    allow_delegation=True,
+    llm=groq_llm
+)
+
+def run_agents(research_topic):
+    # Create tasks
+    task1 = Task(
+        description=f"""Conduct a comprehensive analysis of the latest advancements in {research_topic} in 2024.
+        Identify key trends, breakthrough technologies, and potential industry impacts.""",
+        expected_output="Full analysis report in bullet points",
+        agent=researcher
+    )
+
+    task2 = Task(
+        description="""Using the insights provided, develop an engaging blog
+        post that highlights the most significant advancements.
+        Your post should be informative yet accessible, catering to a tech-savvy audience.
+        Make it sound cool, avoid complex words so it doesn't sound like AI.""",
+        expected_output="Full blog post of at least 4 paragraphs",
+        agent=writer
+    )
+
+    # Instantiate crew
+    crew = Crew(
+        agents=[researcher, writer],
+        tasks=[task1, task2],
+        verbose=2,
+        process=Process.sequential
+    )
+
+    # Run the crew
+    result = crew.kickoff()
+    return result
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=run_agents,
+    inputs=gr.Textbox(label="Enter a research topic (e.g., 'AI', 'Machine Learning', 'Data Science')"),
+    outputs=gr.Textbox(label="Results"),
+    title="AI Research and Blog Post Generator",
+    description="Enter a research topic to generate an analysis and blog post about recent advancements."
+)
+
+# Launch the Gradio interface
+iface.launch()