[SIMPLIFY] `_predict` as the only @abstract method of `_Predictor` and create named inputs about superduperdb HOT 5 CLOSED

@dc.dataclass
class InputNode:
    name: str


class Inputs:
    def __init__(self, fn):
        self.params = inspect.signature(fn).parameters

    def __getattr__(self, item):
        assert item in self.params
        return InputNode(item)
    
 
class _Predictor:
    @property
    def inputs(self) -> Inputs:
        ...
     

def my_func(x, y, z):
    ...

model = Model('test', object=my_func)

# both should work
out1 = model.predict(X={'y': 2, 'x': 3, 'z': 'bla'}, one=True)
out2 = model.predict((3, 2, 'bla'), one=True)

assert out1 == out2

# both fine
l = Listener(model=model, key={'y': 'text', 'x': 'image', 'z': 'text2'})
l = Listener(model=model, key=('text', 'image', 'text2'))

# raises `InputException`
l = Listener(model=model, key=('text', 'image'))

def process_document(r):
    ...   # do anything with all keys

l = Listener(model=model, key='*', select=...)
print(l.key)
# ('txt', 'bla', '...') - gets extracted from select.table_or_collection

class Outputs:
    def __getitem__(self, item: int):
        assert isinstance(item, int)
        return OutputNode(item)

G.add_edge(model.outputs[0], other.inputs.x)
G.add_edge(model.outputs, other.inputs)
G.add_edge(model.outputs, other.inputs.x)
G.add_edge(model.outputs[0], other.inputs)