Create app.py

app.py

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+import os
+from dotenv import load_dotenv
+import gradio as gr
+from crewai import Agent, Task, Crew
+# Importing crewAI tools
+from crewai_tools import (
+    DirectoryReadTool,
+    FileReadTool,
+    SerperDevTool,
+    WebsiteSearchTool
+)
+
+# Load environment variables
+load_dotenv()
+
+# Get API keys from environment variables
+SERPER_API_KEY = os.getenv("SERPER_API_KEY")
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# Instantiate tools
+file_tool = FileReadTool(file_path='plan2.txt')  # Adjusted to read plan.txt
+search_tool = SerperDevTool()
+web_rag_tool = WebsiteSearchTool()
+
+# Create agents
+analyst = Agent(
+    role='Climate Strategy Analyst',
+    goal='Analyze the climate strategy plan to identify key requirements and objectives.',
+    backstory='An expert in climate strategy with experience in sustainable solutions.',
+    tools=[file_tool],
+    verbose=True
+)
+
+researcher = Agent(
+    role='Climate Tech Researcher',
+    goal='Find climate tech companies that provide solutions aligning with the strategy plan.',
+    backstory='A researcher specialized in identifying and evaluating climate technology solutions.',
+    tools=[search_tool, web_rag_tool],
+    verbose=True
+)
+
+# Define tasks
+analyze_strategy = Task(
+    description='Analyze the climate strategy plan from plan.txt and extract key requirements.',
+    expected_output='A detailed list of key requirements and objectives from the climate strategy plan.',
+    agent=analyst
+)
+
+search_companies = Task(
+    description='Search for climate tech companies that offer solutions meeting the extracted strategy requirements.',
+    expected_output='A list of climate tech companies with brief descriptions of how their solutions align with the strategy needs.',
+    agent=researcher,
+    output_file='research_results/company_recommendations.md'  # The results will be saved here
+)
+
+# Assemble a crew with planning enabled
+crew = Crew(
+    agents=[analyst, researcher],
+    tasks=[analyze_strategy, search_companies],
+    verbose=True,
+    planning=True,  # Enable planning feature
+)
+
+def run_crew():
+    # Create crew and execute tasks
+    crew = Crew(
+        agents=[analyst, researcher],
+        tasks=[analyze_strategy, search_companies],
+        verbose=True,
+        planning=True,
+    )
+    result = crew.kickoff()
+    
+    # Read and return the content of the output file
+    with open('research_results/company_recommendations.md', 'r') as f:
+        return f.read()
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=run_crew,
+    inputs=[],
+    outputs=gr.Textbox(label="Results"),
+    title="Climate Tech Company Finder",
+    description="Click to analyze climate strategy and find relevant companies."
+)
+
+if __name__ == "__main__":
+    iface.launch()