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---
title: This a fastapi middleware.
colorFrom: blue
colorTo: yellow
emoji: 🙌🙌
sdk: docker
app_file: main.py
pinned: false
---
<!-- # Whatsapp-Chatbot
A simple repository to integrate a chatbot with whatsapp. -->
<!-- <p float="left">
<img src="" alt="screenshot1" width="300" style="margin-right: 20px;" />
<img src="" alt="screenshot2" width="300" />
</p> -->
<!-- ## Purpose and Features ✨ -->
<!-- ## Prerequisites 🔑
To run and deploy the WhatsApp chatbot, you will need the following:
1. [Twilio Account](https://console.twilio.com/user/account-create): Create a Twilio account and obtain your Account SID and Auth Token.
2. WhatsApp Sandbox: Set up a WhatsApp Sandbox in your Twilio account to receive and send messages.
3. Python: Install Python on your local machine. The recommended version is Python 3.x.
4. Ngrok: [Download](https://ngrok.com/download) and install Ngrok from the official website (https://ngrok.com/) based on your operating system.
5. OpenAI API: Sign up for the OpenAI API and obtain your Secret API key from user settings (you may require a paid account for this). -->
## Installation and Usage
1. Create conda env
```bash
conda create -n rest_server python=3.10 -y
```
2. Activate env
```bash
conda activate rest_server
```
3. Install the required Python packages:
```bash
pip install -r requirements.txt
```
<!-- # docker
## Docker
1. Create the docker container
```bash
docker build -t whatapp-endpoint .
```
2. run the container
```bash
docker run -p 7860:7860 whatapp-endpoint
``` -->
<!-- 4. Create a `.env` file in the root directory of the project. -->
<!-- 5. Add the following lines to the `.env` file:
```plaintext
TWILIO_ACCOUNT_SID=your_account_sid
TWILIO_AUTH_TOKEN=your_auth_token
OPENAI_API_KEY=your_openai_api_key
TWILIO_NUMBER= your_twilio_number
RECEIPENT_NUMBER= your_number
```
Replace `your_account_sid`, `your_auth_token`, `your_openai_api_key`, `your_twilio_number`, and `your_number` with your actual credentials. -->
5. Run the local server:
```bash
uvicorn main:app --host 0.0.0.0 --port 5000
```
<!-- 6. Start Ngrok to create a public URL for your local server:
```bash
ngrok http 5000
```
7. Update the WhatsApp sandbox with the Ngrok URL. Set the incoming message webhook to `<your_ngrok_url>/message` , leave the callback url box empty.
8. Send a message to the WhatsApp sandbox number to interact with the bot and receive information. -->
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