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https://github.com/open-webui/open-webui
synced 2025-01-18 00:30:51 +00:00
refac: max_tokens -> max_completion_tokens
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60d6279055
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@ -1398,9 +1398,9 @@ async def generate_title(form_data: dict, user=Depends(get_verified_user)):
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# Check if the user has a custom task model
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# If the user has a custom task model, use that model
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model_id = get_task_model_id(model_id)
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task_model_id = get_task_model_id(model_id)
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print(model_id)
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print(task_model_id)
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if app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE != "":
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template = app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE
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@ -1427,10 +1427,16 @@ Prompt: {{prompt:middletruncate:8000}}"""
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)
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payload = {
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"model": model_id,
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"model": task_model_id,
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"messages": [{"role": "user", "content": content}],
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"stream": False,
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"max_tokens": 50,
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**(
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{"max_tokens": 50}
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if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
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else {
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"max_completion_tokens": 50,
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}
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),
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"chat_id": form_data.get("chat_id", None),
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"metadata": {"task": str(TASKS.TITLE_GENERATION)},
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}
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@ -1475,9 +1481,8 @@ async def generate_search_query(form_data: dict, user=Depends(get_verified_user)
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# Check if the user has a custom task model
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# If the user has a custom task model, use that model
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model_id = get_task_model_id(model_id)
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print(model_id)
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task_model_id = get_task_model_id(model_id)
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print(task_model_id)
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if app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE != "":
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template = app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE
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@ -1499,10 +1504,16 @@ Search Query:"""
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print("content", content)
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payload = {
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"model": model_id,
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"model": task_model_id,
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"messages": [{"role": "user", "content": content}],
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"stream": False,
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"max_tokens": 30,
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**(
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{"max_tokens": 30}
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if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
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else {
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"max_completion_tokens": 30,
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}
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),
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"metadata": {"task": str(TASKS.QUERY_GENERATION)},
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}
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@ -1541,9 +1552,8 @@ async def generate_emoji(form_data: dict, user=Depends(get_verified_user)):
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# Check if the user has a custom task model
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# If the user has a custom task model, use that model
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model_id = get_task_model_id(model_id)
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print(model_id)
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task_model_id = get_task_model_id(model_id)
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print(task_model_id)
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template = '''
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Your task is to reflect the speaker's likely facial expression through a fitting emoji. Interpret emotions from the message and reflect their facial expression using fitting, diverse emojis (e.g., 😊, 😢, 😡, 😱).
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@ -1561,10 +1571,16 @@ Message: """{{prompt}}"""
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)
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payload = {
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"model": model_id,
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"model": task_model_id,
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"messages": [{"role": "user", "content": content}],
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"stream": False,
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"max_tokens": 4,
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**(
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{"max_tokens": 4}
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if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
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else {
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"max_completion_tokens": 4,
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}
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),
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"chat_id": form_data.get("chat_id", None),
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"metadata": {"task": str(TASKS.EMOJI_GENERATION)},
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}
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