updating readme

README.md

@@ -8,31 +8,6 @@ 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
@@ -51,45 +26,19 @@ To run and deploy the WhatsApp chatbot, you will need the following:
    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:
+3. 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:
-
+## Docker 
+1. Create the docker container
    ```bash
-   ngrok http 5000
+   docker build -t rest-server .
    ```
 
-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. -->
+2. run the container
+   ```bash
+   docker run -p 7860:7860 rest-server
+   ```

requirements.txt

@@ -1,6 +1,4 @@
 fastapi==0.111.1
 uvicorn==0.30.1
-twilio==8.2.2
-openai==1.40.6
 python-dotenv==1.0.1
 colorama==0.4.6