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| import os | |
| import sys | |
| import gradio as gr | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| sys.path.append('./phidata') | |
| from agents.research_agent import research_agent | |
| def query_research_agent(user_query): | |
| if not user_query.strip(): | |
| return "Please enter a research topic." | |
| try: | |
| return research_agent.run(input=user_query) | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| iface = gr.Interface( | |
| fn=query_research_agent, | |
| inputs=gr.Textbox(lines=2, placeholder="Enter your research query here..."), | |
| outputs="text", | |
| title="Exa Research Agent", | |
| description="This AI agent uses Exa.ai to search the web for research articles and returns concise results.", | |
| allow_flagging="never" | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() |