46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import json
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import requests
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# NOTE: ollama must be running for this to work, start the ollama app or run `ollama serve`
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model = "llama2" # TODO: update this for whatever model you wish to use
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def chat(messages):
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r = requests.post(
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"http://0.0.0.0:11434/api/chat",
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json={"model": model, "messages": messages, "stream": True},
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)
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r.raise_for_status()
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output = ""
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for line in r.iter_lines():
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body = json.loads(line)
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if body.get("done") is False:
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message = body.get("message", "")
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content = message.get("content", "")
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output += content
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# the response streams one token at a time, print that as we receive it
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print(content, end="", flush=True)
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if "error" in body:
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raise Exception(body["error"])
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if body.get("done", False):
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message["content"] = output
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return message
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def main():
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messages = []
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) # the context stores a conversation history, you can use this to make the model more context aware
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while True:
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user_input = input("Enter a prompt: ")
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print()
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messages.append({"role": "user", "content": user_input})
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message = chat(messages)
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messages.append(message)
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print("\n\n")
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if __name__ == "__main__":
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main()
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