Question: the response I got by using terminal is way better than using ollama.generate

[wangyeye66]

I use llama2 7b to for text generation. The prompt I attampted:
"""Task: Turn the input into (subject, predicate, object).
Input: Sam Johnson is eating breakfast.
Output: (Dolores Murphy, eat, breakfast)
Input: Joon Park is brewing coffee.
Output: (Joon Park, brew, coffee)
Input: Jane Cook is sleeping.
Output: (Jane Cook, is, sleep)
Input: Michael Bernstein is writing email on a computer.
Output: (Michael Bernstein, write, email)
Input: Percy Liang is teaching students in a classroom.
Output: (Percy Liang, teach, students)
Input: Merrie Morris is running on a treadmill.
Output: (Merrie Morris, run, treadmill)
Input: John Doe is drinking coffee.
Output: (John Doe,"""

using ollama.generate will generate a chat rather than keep generating the text.
In terminal, it seems understand what I would like to do. Did I call wrong function in python? How can I let the model know I don't need a chat-like response?

[93andresen]

I've never tried this libary, but maybe "ollama.chat" works like the terminal amd "ollama.generate" is like autocomplete?