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https://github.com/open-webui/pipelines
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refac
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@ -31,7 +31,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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OLLAMA_BASE_URL = "http://localhost:11434"
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@ -26,7 +26,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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@ -48,7 +48,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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@ -46,7 +46,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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@ -42,7 +42,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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@ -67,7 +67,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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if "user" in body:
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print("######################################")
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@ -26,7 +26,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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OLLAMA_BASE_URL = "http://localhost:11434"
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@ -26,7 +26,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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@ -33,7 +33,7 @@ class Pipeline:
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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68
examples/wikipedia_pipeline.py
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68
examples/wikipedia_pipeline.py
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@ -0,0 +1,68 @@
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from typing import List, Union, Generator, Iterator
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from pydantic import BaseModel
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from schemas import OpenAIChatMessage
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import requests
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import os
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class Pipeline:
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def __init__(self):
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# Assign a unique identifier to the pipeline.
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# The identifier must be unique across all pipelines.
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# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
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self.id = "wiki_pipeline"
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self.name = "Wikipedia Pipeline"
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class Valves(BaseModel):
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pass
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# Initialize rate limits
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self.valves = Valves(**{"OPENAI_API_KEY": os.getenv("OPENAI_API_KEY", "")})
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async def on_startup(self):
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# This function is called when the server is started.
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print(f"on_startup:{__name__}")
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pass
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async def on_shutdown(self):
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# This function is called when the server is stopped.
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print(f"on_shutdown:{__name__}")
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pass
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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if body.get("title", False):
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print("Title Generation")
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return "Wikipedia Pipeline"
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else:
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titles = []
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for query in [user_message]:
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query = query.replace(" ", "_")
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r = requests.get(
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f"https://en.wikipedia.org/w/api.php?action=opensearch&search={query}&limit=1&namespace=0&format=json"
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)
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response = r.json()
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titles = titles + response[1]
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print(titles)
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context = None
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if len(titles) > 0:
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r = requests.get(
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f"https://en.wikipedia.org/w/api.php?format=json&action=query&prop=extracts&exintro&explaintext&redirects=1&titles={'|'.join(titles)}"
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)
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response = r.json()
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# get extracts
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pages = response["query"]["pages"]
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for page in pages:
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if context == None:
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context = pages[page]["extract"] + "\n"
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else:
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context = context + pages[page]["extract"] + "\n"
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return context if context else "No information found"
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