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from whalecore import parser, agents | |
print("π Welcome to HuggingWhale.AI") | |
print("Drop your chaos here and we'll pretend to make sense of it...\n") | |
# Fake file parsing (replace with actual PDF path) | |
doc = parser.parse_file("sample.pdf") | |
chunks = parser.chunk_and_embed(doc) | |
# Load your agents | |
agent_cfgs = agents.load_agents("config.yaml") | |
# Simulate agent convo | |
responses = agents.run_agents_on_text(agent_cfgs, doc) | |
# Output agent responses | |
for name, reply in responses.items(): | |
print(f"\nπ€ {name} says:\n{reply}") |