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A newer version of the Streamlit SDK is available: 1.44.1

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metadata
title: Event Data Extraction
emoji: 🌐
colorFrom: pink
colorTo: blue
sdk: streamlit
sdk_version: 1.42.2
app_file: app.py
pinned: false
python_version: 3.10.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Event Data Extraction

A testing and demo application for extracting event-data from websites.

Repository overview 

/pages/                  
│   └── Streamlit pages for the UI
│
/src/
├── configuration/       
│   └── Streamlit-specific configuration files
│
├── crawler/             
│   └── Scripts for crawling and collecting event data from websites
│
├── persistence/         
│   └── Database connections and query logic
│
├── utils/               
│   └── Helper functions and preprocessing utilities
│
├── nlp/
│   ├── experimental/    
│   │   └── Various NLP tools and technologies under evaluation
│   │
│   └── playground/      
│       └── NLP scripts used within the Streamlit app (Pages: Playground, Pipeline, Testing)

Run locally

Python Version: 3.10

  1. Install requirements from requirements.txt file

  2. Create Hugging Face Access Token in Hugging Face Platform

  3. Request missing environment variables

  4. Create a .env file in the root directory with the following environment variables (⚠️ Do NOT commit this file!)

# MongoDB
MONGO_HOST=...
MONGO_USERNAME=...
MONGO_PASSWORD=...

# Google Maps API
GOOGLE_MAPS_API_KEY=...

# OpenAI API
OPENAI_API_KEY=...

# Hugging Face Inference API
INFERENCE_API_TOKEN=...

# Hugging Face Spaces (access token)
HUGGING_FACE_SPACES_TOKEN=...

# Google Cloud Platform API
GOOGLE_API_KEY=...
  1. Start streamlit app in browser
  streamlit run app.py