bbf6af58f0
- Added FastAPI application with a simple root endpoint. - Developed LLMInvestorParser class for processing investor data from CSV files. - Integrated OpenAI API for LLM enhancements and JSON cleaning. - Implemented structured data extraction and saving to SQL database. - Added functionality to save investor descriptions to ChromaDB for vector similarity search. - Created command-line interface for processing files and searching investors. - Added schema definitions for Investor and related data models using SQLAlchemy and Pydantic. - Implemented logging for better traceability and error handling. - Included requirements.txt for dependency management.
7 lines
106 B
Python
7 lines
106 B
Python
from fastapi import FastAPI
|
|
|
|
app = FastAPI()
|
|
|
|
@app.get("/")
|
|
def read_root():
|
|
return {"Hello": "World"} |