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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2024-04-07 10:36:13 +0200
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2024-04-07 10:36:13 +0200
commitb35dfcd1b01c575b65e0299ef71d285dc8f41459 (patch)
treecfe5f4a390af62fafefd1d27ca2c82a23cdcab49 /g4f/local/_engine.py
parentUpdate Gemini.py (diff)
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Diffstat (limited to '')
-rw-r--r--g4f/local/_engine.py42
1 files changed, 0 insertions, 42 deletions
diff --git a/g4f/local/_engine.py b/g4f/local/_engine.py
deleted file mode 100644
index 917de16c..00000000
--- a/g4f/local/_engine.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import os
-
-from gpt4all import GPT4All
-from ._models import models
-
-class LocalProvider:
- @staticmethod
- def create_completion(model, messages, stream, **kwargs):
- if model not in models:
- raise ValueError(f"Model '{model}' not found / not yet implemented")
-
- model = models[model]
- model_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'models/')
- full_model_path = os.path.join(model_dir, model['path'])
-
- if not os.path.isfile(full_model_path):
- print(f"Model file '{full_model_path}' not found.")
- download = input(f'Do you want to download {model["path"]} ? [y/n]')
-
- if download in ['y', 'Y']:
- GPT4All.download_model(model['path'], model_dir)
- else:
- raise ValueError(f"Model '{model['path']}' not found.")
-
- model = GPT4All(model_name=model['path'],
- #n_threads=8,
- verbose=False,
- allow_download=False,
- model_path=model_dir)
-
- system_template = next((message['content'] for message in messages if message['role'] == 'system'),
- 'A chat between a curious user and an artificial intelligence assistant.')
-
- prompt_template = 'USER: {0}\nASSISTANT: '
- conversation = '\n'.join(f"{msg['role'].upper()}: {msg['content']}" for msg in messages) + "\nASSISTANT: "
-
- with model.chat_session(system_template, prompt_template):
- if stream:
- for token in model.generate(conversation, streaming=True):
- yield token
- else:
- yield model.generate(conversation) \ No newline at end of file