add new LLM provider io.net gemini g4f
This commit is contained in:
Freestyle-Play
135
config.py
135
config.py
@@ -1,52 +1,83 @@
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import os
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from dotenv import load_dotenv
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load_dotenv()
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FAST_WHISPER_MODELS = ['tiny', 'base', 'small', 'medium', 'large-v1', 'large-v2', 'large-v3', 'large', 'distil-large-v2', 'distil-large-v3', 'distil-large-v3.5', 'large-v3-turbo', 'turbo']
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LLM_MODELS = ['openai/gpt-oss-120b', 'Qwen/Qwen3-235B-A22B-Thinking-2507', 'deepseek-ai/DeepSeek-R1-0528', 'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8', 'openai/gpt-oss-20b', 'Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-ar', 'meta-llama/Llama-3.2-90B-Vision-Instruct', 'mistralai/Mistral-Nemo-Instruct-2407', 'Qwen/Qwen2.5-VL-32B-Instruct', 'meta-llama/Llama-3.3-70B-Instruct', 'mistralai/Devstral-Small-2505', 'mistralai/Magistral-Small-2506', 'mistralai/Mistral-Large-Instruct-2411', 'CohereForAI/aya-expanse-32b']
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DEVICES = ['cpu', 'cuda']
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COMPUTE_TYPE = ['auto', 'int8', 'float16', 'float32']
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# Стандартный API ключ
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DEFAULT_API_KEY=os.getenv('API_KEY')
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# Задаем выходную директорию
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OUTPUT_PATH='outputs'
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GLUED_AUDIO_FILENAME='glued.mp3'
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DEFAULT_SYSTEM_PROMPT='''You are a diligent university student who has recorded a lecture as an audio file and later transcribed it into raw text.
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Your task is to rewrite this unstructured transcript into a clear, logically organized, and detailed lecture summary (lecture notes).
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Guidelines:
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1. Structure:
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- Organize the text into a hierarchy of sections and subsections.
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- Use headings, bullet points, or numbering where appropriate.
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- Present the material in a logical flow (from introduction → main points → details → examples → conclusion).
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2. Clarity & Cohesion:
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- Remove filler words, repetitions, and irrelevant fragments.
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- Rewrite incomplete sentences into full, grammatically correct sentences.
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- Ensure smooth transitions between topics, making the summary feel continuous and well-connected.
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3. Depth & Detail:
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- Capture all important concepts, definitions, examples, and explanations from the lecture.
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- Expand shorthand or fragmented thoughts into full, precise explanations.
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- Where appropriate, rephrase or clarify confusing passages for better understanding.
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4. Accuracy:
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- Preserve the lecturer’s original meaning, intent, and terminology.
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- Avoid adding personal opinions or new information that was not in the lecture.
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5. Style:
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- Write in a formal, academic tone suitable for study notes.
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- Aim for readability: concise sentences, but thorough coverage of concepts.
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- Use emphasis (e.g., bold or italic text) only when it improves comprehension.
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Final Output: A cohesive, detailed, and well-structured lecture summary, suitable for later studying and revision.
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Use only russian language!
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USE LATEX IN DOLLAR SIGN ($)!
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EXTRA BIG LENTH OF CONSPECT!
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MAKE AS LONG AS POSIBLE AND AS BE GOOD!
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'''
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import os
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from dotenv import load_dotenv
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load_dotenv()
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FAST_WHISPER_MODELS = ['tiny', 'base', 'small', 'medium', 'large-v1', 'large-v2', 'large-v3', 'large', 'distil-large-v2', 'distil-large-v3', 'distil-large-v3.5', 'large-v3-turbo', 'turbo']
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DEVICES = ['cpu', 'cuda']
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COMPUTE_TYPE = ['auto', 'int8', 'float16', 'float32']
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# Стандартный API ключ
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DEFAULT_API_KEY=os.getenv('API_KEY')
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# Словарь провайдеров и их моделей
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LLM_PROVIDERS = ['io.net', 'Gemini', 'gpt4free']
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LLM_MODELS = {
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'io.net': [
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'openai/gpt-oss-120b', 'Qwen/Qwen3-235B-A22B-Thinking-2507',
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'deepseek-ai/DeepSeek-R1-0528', 'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8',
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'openai/gpt-oss-20b', 'Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-ar',
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'meta-llama/Llama-3.2-90B-Vision-Instruct', 'mistralai/Mistral-Nemo-Instruct-2407',
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'Qwen/Qwen2.5-VL-32B-Instruct', 'meta-llama/Llama-3.3-70B-Instruct',
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'mistralai/Devstral-Small-2505', 'mistralai/Magistral-Small-2506',
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'mistralai/Mistral-Large-Instruct-2411', 'CohereForAI/aya-expanse-32b'
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],
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'Gemini': [
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'gemini-2.5-pro',
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'gemini-2.5-flash',
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'gemini-2.5-flash-lite'
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],
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'gpt4free': [ # Модели могут меняться, проверьте документацию g4f
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'default',
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'gpt-4',
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'sonar-reasoning',
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'command-r-plus',
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'llama-3.3-70b',
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'hermes-3-llama-3.1-405b'
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'qwen-3-235b',
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'gpt-4o-mini',
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'deepseek-r1',
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'PollinationsAI:gpt-5-nano'
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]
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}
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# Задаем выходную директорию
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OUTPUT_PATH='outputs'
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GLUED_AUDIO_FILENAME='glued.mp3'
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DEFAULT_SYSTEM_PROMPT='''You are a diligent university student who has recorded a lecture as an audio file and later transcribed it into raw text.
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Your task is to rewrite this unstructured transcript into a clear, logically organized, and detailed lecture summary (lecture notes).
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Guidelines:
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1. Structure:
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- Organize the text into a hierarchy of sections and subsections.
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- Use headings, bullet points, or numbering where appropriate.
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- Present the material in a logical flow (from introduction → main points → details → examples → conclusion).
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2. Clarity & Cohesion:
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- Remove filler words, repetitions, and irrelevant fragments.
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- Rewrite incomplete sentences into full, grammatically correct sentences.
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- Ensure smooth transitions between topics, making the summary feel continuous and well-connected.
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3. Depth & Detail:
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- Capture all important concepts, definitions, examples, and explanations from the lecture.
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- Expand shorthand or fragmented thoughts into full, precise explanations.
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- Where appropriate, rephrase or clarify confusing passages for better understanding.
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4. Accuracy:
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- Preserve the lecturer’s original meaning, intent, and terminology.
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- Avoid adding personal opinions or new information that was not in the lecture.
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5. Style:
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- Write in a formal, academic tone suitable for study notes.
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- Aim for readability: concise sentences, but thorough coverage of concepts.
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- Use emphasis (e.g., bold or italic text) only when it improves comprehension.
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Final Output: A cohesive, detailed, and well-structured lecture summary, suitable for later studying and revision.
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Use only russian language!
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USE LATEX IN DOLLAR SIGN ($)!
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EXTRA BIG LENTH OF CONSPECT!
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MAKE AS LONG AS POSIBLE AND AS BE GOOD!
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'''
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