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33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
import json
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import requests
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class OLLAMAConnector:
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"""
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Abstract class to interact with a local LLM using Ollama for predictions.
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"""
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def __init__(
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self, model_name: str, ollama_base_url: str = "http://localhost:11434"
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):
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self.model_name = model_name
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self.ollama_base_url = ollama_base_url
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def query_ollama(self, prompt: str):
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"""
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Helper function to query the Ollama API.
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"""
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url = f"{self.ollama_base_url}/api/generate"
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data = {
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"prompt": prompt,
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"model": self.model_name,
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"stream": False, # Set to False to get the full response at once
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}
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try:
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response = requests.post(url, json=data, stream=False)
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response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx)
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return response.json()["response"]
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except requests.exceptions.RequestException as e:
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print(f"Error querying Ollama: {e}")
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return None
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