https://github.com/karthikarajagopal44/multi_bot

https://github.com/karthikarajagopal44/multi_bot

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/karthikarajagopal44/multi_bot
• Owner: KarthikaRajagopal44
• License: apache-2.0
• Created: 2025-01-09T14:50:20.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2025-01-09T14:53:05.000Z (21 days ago)
• Last Synced: 2025-01-09T15:42:51.560Z (21 days ago)
• Language: Python
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Rasa chatbot example

This is an example bilingual rasa chatbot implementation that can be connected to your Facebook page using chatfuel.

Chatfuel comes with a bunch of features one of which is providing a messenger channel to receive messages from facebook along with other attributes including what we need, user’s profile language. It also gives you a nice get started button so you can provide a nice welcome message for the user. Chatfuel also provides a backend integration webhook namely JSON API to pass the user message to the Rasa servers that i am running in my backend. Goal is to interpret the message from Chatfuel and provide a response back

## Proof of Concept

The project is a quick implementation to demonstrate a desired architecture of Rasa components using the latest tensforflow embeddings

in French and English

## How to start

Requirements 

- Docker

### 1

```

docker-compose up --build

```

### 2

You will have two servers up 

at localhost:5005 - serving the english model

at localhost:5006 - serviing the french model

### 3

Redis tracker is running at port 6379