Create main.py

main.py

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+import json
+from transformers import pipeline
+
+# Load a basic model (replace with your preferred one)
+agent = pipeline("text-generation", model="gpt2", max_new_tokens=100)
+
+# Example GAIA task subset (mocked)
+subset_tasks = [
+    {"task_id": "gaia_0001", "input": "What is the capital of France?"},
+    {"task_id": "gaia_0002", "input": "List 3 crops commonly grown in Saskatchewan."},
+    {"task_id": "gaia_0003", "input": "Explain why climate change affects agriculture."}
+]
+
+# Create predictions
+submission = []
+
+for task in subset_tasks:
+    prompt = task["input"]
+    response = agent(prompt)[0]["generated_text"]
+
+    submission.append({
+        "task_id": task["task_id"],
+        "model_answer": response.strip(),
+        "reasoning_trace": f"Used GPT-2 to generate answer to: '{prompt}'"
+    })
+
+# Save to JSON Lines format
+with open("submission.jsonl", "w", encoding="utf-8") as f:
+    for entry in submission:
+        f.write(json.dumps(entry) + "\n")
+
+print("Submission file saved as submission.jsonl")