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README.md

@@ -1,12 +1,11 @@
----
-title: Starc Agent
-emoji: 😻
-colorFrom: purple
-colorTo: purple
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🤗 GAIA Agent Submission
+
+This is my Hugging Face Space for the GAIA Leaderboard Assignment.
+
+It:
+- Fetches evaluation questions from the GAIA API
+- Generates simple answers
+- Submits them to the leaderboard
+
+### Replace Logic
+Modify `answer_question()` in `app.py` to use your own reasoning or LLM for better accuracy.

app.py

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+import requests
+import gradio as gr
+import os
+
+# ====================================================
+# CONFIGURATION
+# ====================================================
+BASE_URL = "https://huggingface.co/api/gaia"  # Replace with your actual GAIA API base URL
+USERNAME = os.getenv("HF_USERNAME") or "your_hf_username_here"
+AGENT_CODE = "https://huggingface.co/spaces/your_username/gaia-agent/tree/main"
+
+
+# ====================================================
+# API FUNCTIONS
+# ====================================================
+def get_questions():
+    """Retrieve all evaluation questions"""
+    resp = requests.get(f"{BASE_URL}/questions")
+    resp.raise_for_status()
+    return resp.json()
+
+
+def get_random_question():
+    """Retrieve a random single question"""
+    resp = requests.get(f"{BASE_URL}/random-question")
+    resp.raise_for_status()
+    return resp.json()
+
+
+def submit_answers(answers):
+    """Submit all answers to the leaderboard"""
+    payload = {
+        "username": USERNAME,
+        "agent_code": AGENT_CODE,
+        "answers": answers
+    }
+    resp = requests.post(f"{BASE_URL}/submit", json=payload)
+    resp.raise_for_status()
+    return resp.json()
+
+
+# ====================================================
+# AGENT LOGIC
+# ====================================================
+def answer_question(question):
+    """Simple rule-based answering agent (replace with LLM logic later)"""
+    q_text = question["question_text"].lower()
+
+    if "capital" in q_text:
+        return "Paris"
+    elif "language" in q_text:
+        return "English"
+    elif "2+2" in q_text or "two plus two" in q_text:
+        return "4"
+    else:
+        return "Unknown"
+
+
+def run_agent():
+    """Fetch all questions and generate answers"""
+    questions = get_questions()
+    answers = []
+    for q in questions:
+        ans = answer_question(q)
+        answers.append({
+            "task_id": q["task_id"],
+            "submitted_answer": ans
+        })
+    return answers
+
+
+# ====================================================
+# GRADIO UI
+# ====================================================
+def main_ui():
+    def on_run():
+        answers = run_agent()
+        result = submit_answers(answers)
+        return f"✅ Submission complete!\n\nResult:\n{result}"
+
+    iface = gr.Interface(
+        fn=on_run,
+        inputs=[],
+        outputs="text",
+        title="🤗 GAIA Agent Submission Tool",
+        description=(
+            "This tool fetches GAIA questions, generates simple answers, and submits them "
+            "to the Hugging Face leaderboard.\n\n"
+            "👉 Replace the `answer_question()` logic with your own model or reasoning approach."
+        )
+    )
+    iface.launch()
+
+
+if __name__ == "__main__":
+    main_ui()

requirements.txt

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+gradio
+requests
+transformers
+torch