forked from React-Group/interstellar_ai
55 lines
No EOL
1.6 KiB
Python
55 lines
No EOL
1.6 KiB
Python
from mistralai import Mistral
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from openai import OpenAI
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import ollama
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class AI:
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@staticmethod
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def process_local(model, messages, return_class, access_token):
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stream = ollama.chat(
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model=model,
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messages=messages,
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stream=True,
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options={"temperature": 0.5},
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)
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] = ""
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for chunk in stream:
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] += chunk['message']['content']
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@staticmethod
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def process_mistralai(model, messages, return_class, access_token, api_key):
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client = Mistral(api_key=api_key)
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stream_response = client.chat.stream(
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model=model,
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messages=messages
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)
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] = ""
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for chunk in stream_response:
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] += chunk.data.choices[0].delta.content
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@staticmethod
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def process_openai(model, messages, return_class, access_token, api_key):
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client = OpenAI(api_key=api_key)
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stream_response = client.chat.completions.create(
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model=model,
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messages=messages
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)
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] = ""
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for chunk in stream_response:
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with return_class.ai_response_lock:
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return_class.ai_response[access_token] += chunk.choices[0].delta.content |