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https://github.com/open-webui/open-webui
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refac
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@ -42,7 +42,7 @@ from apps.openai.main import (
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from apps.audio.main import app as audio_app
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from apps.images.main import app as images_app
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from apps.rag.main import app as rag_app
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from apps.webui.main import app as webui_app
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from apps.webui.main import app as webui_app, get_pipe_models
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from pydantic import BaseModel
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@ -448,10 +448,12 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
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if citations and data.get("citations"):
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data_items.append({"citations": citations})
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del data["citations"]
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del data["files"]
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if data.get("citations"):
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del data["citations"]
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if context != "":
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system_prompt = rag_template(
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rag_app.state.config.RAG_TEMPLATE, context, prompt
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@ -691,17 +693,18 @@ webui_app.state.EMBEDDING_FUNCTION = rag_app.state.EMBEDDING_FUNCTION
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async def get_all_models():
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pipe_models = []
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openai_models = []
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ollama_models = []
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pipe_models = await get_pipe_models()
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if app.state.config.ENABLE_OPENAI_API:
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openai_models = await get_openai_models()
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openai_models = openai_models["data"]
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if app.state.config.ENABLE_OLLAMA_API:
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ollama_models = await get_ollama_models()
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ollama_models = [
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{
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"id": model["model"],
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@ -714,9 +717,9 @@ async def get_all_models():
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for model in ollama_models["models"]
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]
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models = openai_models + ollama_models
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custom_models = Models.get_all_models()
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models = pipe_models + openai_models + ollama_models
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custom_models = Models.get_all_models()
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for custom_model in custom_models:
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if custom_model.base_model_id == None:
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for model in models:
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@ -791,6 +794,13 @@ async def generate_chat_completions(form_data: dict, user=Depends(get_verified_u
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model = app.state.MODELS[model_id]
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print(model)
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if model.get('pipe') == True:
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print('hi')
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if model["owned_by"] == "ollama":
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return await generate_ollama_chat_completion(form_data, user=user)
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else:
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