├── README.md └── c3-python-nostream ├── .gitignore ├── README.md ├── app ├── __init__.py ├── api │ ├── __init__.py │ └── routers │ │ ├── __init__.py │ │ └── chat.py ├── context.py └── engine │ ├── __init__.py │ ├── constants.py │ ├── context.py │ ├── generate.py │ └── index.py ├── data ├── 101.pdf └── nvidia10k.pdf ├── main.py ├── poetry.lock ├── pyproject.toml └── tests └── __init__.py /README.md: -------------------------------------------------------------------------------- 1 | This is a [LlamaIndex](https://www.llamaindex.ai/) project using [FastAPI](https://fastapi.tiangolo.com/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama). 2 | 3 | ## Getting Started 4 | 5 | First, setup the environment: 6 | 7 | ``` 8 | poetry install 9 | poetry shell 10 | ``` 11 | 12 | By default, we use the OpenAI LLM (though you can customize, see app/api/routers/chat.py). As a result you need to specify an `OPENAI_API_KEY` in an .env file in this directory. 13 | 14 | Example `backend/.env` file: 15 | 16 | ``` 17 | OPENAI_API_KEY= 18 | ``` 19 | 20 | Second, generate the embeddings of the documents in the `./data` directory (if this folder exists - otherwise, skip this step): 21 | 22 | ``` 23 | python app/engine/generate.py 24 | ``` 25 | 26 | Third, run the development server: 27 | 28 | ``` 29 | python main.py 30 | ``` 31 | 32 | Then call the API endpoint `/api/chat` to see the result: 33 | 34 | ``` 35 | curl --location 'localhost:8000/api/chat' \ 36 | --header 'Content-Type: application/json' \ 37 | --data '{ "messages": [{ "role": "user", "content": "Hello" }] }' 38 | ``` 39 | 40 | You can start editing the API by modifying `app/api/routers/chat.py`. The endpoint auto-updates as you save the file. 41 | 42 | Open [http://localhost:8000/docs](http://localhost:8000/docs) with your browser to see the Swagger UI of the API. 43 | 44 | The API allows CORS for all origins to simplify development. You can change this behavior by setting the `ENVIRONMENT` environment variable to `prod`: 45 | 46 | ``` 47 | ENVIRONMENT=prod uvicorn main:app 48 | ``` 49 | 50 | ## Learn More 51 | 52 | To learn more about LlamaIndex, take a look at the following resources: 53 | 54 | - [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex. 55 | 56 | You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome! 57 | -------------------------------------------------------------------------------- /c3-python-nostream/.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | storage 3 | .env 4 | -------------------------------------------------------------------------------- /c3-python-nostream/README.md: -------------------------------------------------------------------------------- 1 | This is a [LlamaIndex](https://www.llamaindex.ai/) project using [FastAPI](https://fastapi.tiangolo.com/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama). 2 | 3 | ## Getting Started 4 | 5 | First, setup the environment: 6 | 7 | ``` 8 | poetry install 9 | poetry shell 10 | ``` 11 | 12 | By default, we use the OpenAI LLM (though you can customize, see app/api/routers/chat.py). As a result you need to specify an `OPENAI_API_KEY` in an .env file in this directory. 13 | 14 | Example `backend/.env` file: 15 | 16 | ``` 17 | OPENAI_API_KEY= 18 | ``` 19 | 20 | Second, generate the embeddings of the documents in the `./data` directory (if this folder exists - otherwise, skip this step): 21 | 22 | ``` 23 | python app/engine/generate.py 24 | ``` 25 | 26 | Third, run the development server: 27 | 28 | ``` 29 | python main.py 30 | ``` 31 | 32 | Then call the API endpoint `/api/chat` to see the result: 33 | 34 | ``` 35 | curl --location 'localhost:8000/api/chat' \ 36 | --header 'Content-Type: application/json' \ 37 | --data '{ "messages": [{ "role": "user", "content": "Hello" }] }' 38 | ``` 39 | 40 | You can start editing the API by modifying `app/api/routers/chat.py`. The endpoint auto-updates as you save the file. 41 | 42 | Open [http://localhost:8000/docs](http://localhost:8000/docs) with your browser to see the Swagger UI of the API. 43 | 44 | The API allows CORS for all origins to simplify development. You can change this behavior by setting the `ENVIRONMENT` environment variable to `prod`: 45 | 46 | ``` 47 | ENVIRONMENT=prod uvicorn main:app 48 | ``` 49 | 50 | ## Learn More 51 | 52 | To learn more about LlamaIndex, take a look at the following resources: 53 | 54 | - [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex. 55 | 56 | You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome! 57 | -------------------------------------------------------------------------------- /c3-python-nostream/app/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/app/__init__.py -------------------------------------------------------------------------------- /c3-python-nostream/app/api/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/app/api/__init__.py -------------------------------------------------------------------------------- /c3-python-nostream/app/api/routers/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/app/api/routers/__init__.py -------------------------------------------------------------------------------- /c3-python-nostream/app/api/routers/chat.py: -------------------------------------------------------------------------------- 1 | from typing import List 2 | 3 | from fastapi import APIRouter, Depends, HTTPException, status 4 | from llama_index.chat_engine.types import BaseChatEngine 5 | from llama_index.llms.base import ChatMessage 6 | from llama_index.llms.types import MessageRole 7 | from pydantic import BaseModel 8 | from app.engine.index import get_chat_engine 9 | 10 | chat_router = r = APIRouter() 11 | 12 | 13 | class _Message(BaseModel): 14 | role: MessageRole 15 | content: str 16 | 17 | 18 | class _ChatData(BaseModel): 19 | messages: List[_Message] 20 | 21 | 22 | class _Result(BaseModel): 23 | result: _Message 24 | 25 | 26 | @r.post("") 27 | async def chat( 28 | data: _ChatData, 29 | chat_engine: BaseChatEngine = Depends(get_chat_engine), 30 | ) -> _Result: 31 | # check preconditions and get last message 32 | if len(data.messages) == 0: 33 | raise HTTPException( 34 | status_code=status.HTTP_400_BAD_REQUEST, 35 | detail="No messages provided", 36 | ) 37 | lastMessage = data.messages.pop() 38 | if lastMessage.role != MessageRole.USER: 39 | raise HTTPException( 40 | status_code=status.HTTP_400_BAD_REQUEST, 41 | detail="Last message must be from user", 42 | ) 43 | # convert messages coming from the request to type ChatMessage 44 | messages = [ 45 | ChatMessage( 46 | role=m.role, 47 | content=m.content, 48 | ) 49 | for m in data.messages 50 | ] 51 | 52 | # query chat engine 53 | response = chat_engine.chat(lastMessage.content, messages) 54 | return _Result( 55 | result=_Message(role=MessageRole.ASSISTANT, content=response.response) 56 | ) 57 | -------------------------------------------------------------------------------- /c3-python-nostream/app/context.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | from llama_index import ServiceContext 4 | from llama_index.llms import OpenAI 5 | 6 | 7 | def create_base_context(): 8 | model = os.getenv("MODEL", "gpt-3.5-turbo") 9 | return ServiceContext.from_defaults( 10 | llm=OpenAI(model=model), 11 | ) 12 | -------------------------------------------------------------------------------- /c3-python-nostream/app/engine/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/app/engine/__init__.py -------------------------------------------------------------------------------- /c3-python-nostream/app/engine/constants.py: -------------------------------------------------------------------------------- 1 | STORAGE_DIR = "storage" # directory to cache the generated index 2 | DATA_DIR = "data" # directory containing the documents to index 3 | CHUNK_SIZE = 1024 4 | CHUNK_OVERLAP = 20 5 | -------------------------------------------------------------------------------- /c3-python-nostream/app/engine/context.py: -------------------------------------------------------------------------------- 1 | from llama_index import ServiceContext 2 | 3 | from app.context import create_base_context 4 | from app.engine.constants import CHUNK_SIZE, CHUNK_OVERLAP 5 | 6 | 7 | def create_service_context(): 8 | base = create_base_context() 9 | return ServiceContext.from_defaults( 10 | llm=base.llm, 11 | embed_model=base.embed_model, 12 | chunk_size=CHUNK_SIZE, 13 | chunk_overlap=CHUNK_OVERLAP, 14 | ) 15 | -------------------------------------------------------------------------------- /c3-python-nostream/app/engine/generate.py: -------------------------------------------------------------------------------- 1 | import logging 2 | 3 | from dotenv import load_dotenv 4 | 5 | from app.engine.constants import DATA_DIR, STORAGE_DIR 6 | from app.engine.context import create_service_context 7 | 8 | load_dotenv() 9 | 10 | from llama_index import ( 11 | SimpleDirectoryReader, 12 | VectorStoreIndex, 13 | ) 14 | 15 | logging.basicConfig(level=logging.INFO) 16 | logger = logging.getLogger() 17 | 18 | 19 | def generate_datasource(service_context): 20 | logger.info("Creating new index") 21 | # load the documents and create the index 22 | documents = SimpleDirectoryReader(DATA_DIR).load_data() 23 | index = VectorStoreIndex.from_documents(documents, service_context=service_context) 24 | # store it for later 25 | index.storage_context.persist(STORAGE_DIR) 26 | logger.info(f"Finished creating new index. Stored in {STORAGE_DIR}") 27 | 28 | 29 | if __name__ == "__main__": 30 | service_context = create_service_context() 31 | generate_datasource(service_context) 32 | -------------------------------------------------------------------------------- /c3-python-nostream/app/engine/index.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import os 3 | from llama_index import ( 4 | StorageContext, 5 | load_index_from_storage, 6 | ) 7 | 8 | from app.engine.constants import STORAGE_DIR 9 | from app.engine.context import create_service_context 10 | 11 | 12 | def get_chat_engine(): 13 | service_context = create_service_context() 14 | # check if storage already exists 15 | if not os.path.exists(STORAGE_DIR): 16 | raise Exception( 17 | "StorageContext is empty - call 'python app/engine/generate.py' to generate the storage first" 18 | ) 19 | logger = logging.getLogger("uvicorn") 20 | # load the existing index 21 | logger.info(f"Loading index from {STORAGE_DIR}...") 22 | storage_context = StorageContext.from_defaults(persist_dir=STORAGE_DIR) 23 | index = load_index_from_storage(storage_context, service_context=service_context) 24 | logger.info(f"Finished loading index from {STORAGE_DIR}") 25 | return index.as_chat_engine() 26 | -------------------------------------------------------------------------------- /c3-python-nostream/data/101.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/data/101.pdf -------------------------------------------------------------------------------- /c3-python-nostream/data/nvidia10k.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AI-ANK/c3-python-nostream/5fb17438f543e52a50263a7b057cbf2f794b8adb/c3-python-nostream/data/nvidia10k.pdf -------------------------------------------------------------------------------- /c3-python-nostream/main.py: -------------------------------------------------------------------------------- 1 | from dotenv import load_dotenv 2 | 3 | load_dotenv() 4 | 5 | import logging 6 | import os 7 | import uvicorn 8 | from app.api.routers.chat import chat_router 9 | from fastapi import FastAPI 10 | from fastapi.middleware.cors import CORSMiddleware 11 | 12 | app = FastAPI() 13 | 14 | environment = os.getenv("ENVIRONMENT", "dev") # Default to 'development' if not set 15 | 16 | 17 | if environment == "dev": 18 | logger = logging.getLogger("uvicorn") 19 | logger.warning("Running in development mode - allowing CORS for all origins") 20 | app.add_middleware( 21 | CORSMiddleware, 22 | allow_origins=[ 23 | "https://c3-ui.vercel.app", 24 | "https://c3-ui-git-main-ai-anks-projects.vercel.app", 25 | "https://c3-n4woekqkc-ai-anks-projects.vercel.app", 26 | "https://c3-ui-ai-anks-projects.vercel.app" 27 | ], 28 | allow_credentials=True, 29 | allow_methods=["*"], 30 | allow_headers=["*"], 31 | ) 32 | 33 | app.include_router(chat_router, prefix="/api/chat") 34 | 35 | 36 | if __name__ == "__main__": 37 | uvicorn.run(app="main:app", host="0.0.0.0", reload=True) 38 | -------------------------------------------------------------------------------- /c3-python-nostream/poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 2 | 3 | [[package]] 4 | name = "aiohttp" 5 | version = "3.9.1" 6 | description = "Async http client/server framework (asyncio)" 7 | optional = false 8 | python-versions = ">=3.8" 9 | files = [ 10 | {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1f80197f8b0b846a8d5cf7b7ec6084493950d0882cc5537fb7b96a69e3c8590"}, 11 | {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = 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