Spaces:
Runtime error
Runtime error
File size: 3,107 Bytes
b56f671 15bb146 b56f671 997480e 15bb146 997480e 15bb146 997480e b56f671 997480e d0c134a 997480e d0c134a b56f671 997480e 15bb146 997480e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
#!/usr/bin/env python3
"""
🚀 Enhanced GAIA Agent Interface - Full API Integration
Complete Gradio interface for GAIA benchmark with API connectivity and scoring
"""
import os
import gradio as gr
import json
from datetime import datetime
from gaia_agent import ModularGAIAAgent
agent = ModularGAIAAgent()
def run_api_questions():
results = agent.run(from_api=True)
answers = ""
for r in results:
answers += f"Task ID: {r['task_id']}\nAnswer: {r['answer']}\nReasoning Trace: {' | '.join(r['reasoning_trace'])}\n\n"
return answers
def run_manual_question(question):
qobj = {"task_id": "manual", "question": question, "file_name": ""}
answer, trace = agent.answer_question(qobj)
return answer, "\n".join(trace)
def show_help():
return (
"# Agent Capabilities\n"
"- Multi-modal QA (text, audio, image, code, table, YouTube/video)\n"
"- File download and analysis from API\n"
"- Advanced video QA: object detection, captioning, ASR\n"
"- Secure code execution\n"
"- Robust error handling and logging\n"
"- GAIA-compliant output\n"
"\nSee README.md for full details."
)
def submit_answers(username, agent_code_url):
# Placeholder for submission logic
return f"Submission for {username} with code {agent_code_url} (not implemented in demo)"
def show_leaderboard():
# Placeholder for leaderboard logic
return "Leaderboard feature coming soon."
demo = gr.Blocks(title="GAIA Benchmark Agent", theme=gr.themes.Soft())
with demo:
gr.Markdown("""
# 🤖 GAIA Benchmark Agent
Multi-modal, multi-step reasoning agent for the Hugging Face GAIA benchmark.
""")
with gr.Tabs():
with gr.TabItem("API Q&A"):
api_btn = gr.Button("Run on API Questions", variant="primary")
api_output = gr.Textbox(label="Answers and Reasoning Trace", lines=20)
api_btn.click(run_api_questions, outputs=api_output)
with gr.TabItem("Manual Input"):
manual_q = gr.Textbox(label="Enter your question", lines=3)
manual_btn = gr.Button("Answer", variant="primary")
manual_a = gr.Textbox(label="Answer")
manual_trace = gr.Textbox(label="Reasoning Trace", lines=5)
manual_btn.click(run_manual_question, inputs=manual_q, outputs=[manual_a, manual_trace])
with gr.TabItem("Submission/Leaderboard"):
username = gr.Textbox(label="Hugging Face Username")
code_url = gr.Textbox(label="Agent Code URL")
submit_btn = gr.Button("Submit Answers", variant="primary")
submit_out = gr.Textbox(label="Submission Result")
submit_btn.click(submit_answers, inputs=[username, code_url], outputs=submit_out)
leaderboard_btn = gr.Button("Show Leaderboard")
leaderboard_out = gr.Textbox(label="Leaderboard")
leaderboard_btn.click(show_leaderboard, outputs=leaderboard_out)
with gr.TabItem("Agent Help"):
help_md = gr.Markdown(show_help())
if __name__ == "__main__":
demo.launch()
|