https://github.com/tonykipkemboi/respell-call-streamlit-demo
A Streamlit app that uses Respell AI's API to allow you to make calls using AI.
https://github.com/tonykipkemboi/respell-call-streamlit-demo
ai calls respell streamlit
Last synced: 4 months ago
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A Streamlit app that uses Respell AI's API to allow you to make calls using AI.
- Host: GitHub
- URL: https://github.com/tonykipkemboi/respell-call-streamlit-demo
- Owner: tonykipkemboi
- License: mit
- Created: 2023-09-09T23:25:43.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-29T04:29:03.000Z (almost 2 years ago)
- Last Synced: 2025-06-20T05:45:06.186Z (4 months ago)
- Topics: ai, calls, respell, streamlit
- Language: Python
- Homepage: https://respellcall.streamlit.app/
- Size: 14.2 MB
- Stars: 13
- Watchers: 2
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Respell Call Streamlit App 📞
[](https://respellcall.streamlit.app/)
Ring, Ring, who's calling? ☎️
Check out how I gave myself a ring using this app! 📞🤙
Welcome to the `Respell Call Streamlit App`, your gateway to initiating calls with a sprinkle of awesomeness. Let's cut to the chase and dive right in, shall we?
## What's this all about? 🤔
This Streamlit app is your virtual assistant, making calls to the phone number you provide and carrying out the objective you set.
## Features 🫠
- **`User-Friendly Interface`**: [Streamlit](https://www.streamlit.io) UI which makes building Python apps easy-peasy lemon squeezy!
- **`Secure API Calls`**: Utilizes the Respell API for secure and efficient calls.
- **`Content Moderation`**: Uses [Lakera AI](https://lakera.ai/) for real-time prompt moderation to keep the conversation clean and respectful.
- **`Interactive Chat Transcript`**: You get a neat transcript of your call, so you can analyze all the little details afterwards.
## How to Get Started 🎉
1. Clone the repository:
```bash
git clone https://github.com/tonykipkemboi/Respell-Call-Streamlit-Demo.git
```
2. Install requirements:
```bash
pip install -r requirements.txt
```
3. Add your API keys to a secrets.toml file in the root directory of this project. Streamlit will pick it up automatically when you run the app.
Here's how your **`secrets.toml`** file should look like:
```TOML
[default]
RESPELL_API = "your-respell-api-key-goes-here"
SPELL_ID = "your-spell-id-goes-here"
SPELL_VERSION = "your-spell-version-goes-here"
LAKERA_API_KEY = "your-lakera-api-key-goes-here"
```
4. Run the App - In your terminal, navigate to the folder where the app is located and type:
```bash
streamlit run streamlit_app.py
```
5. Enjoy! - Play around with the app, and don't forget to wear a smile!
## Behind the Scenes 🧙🏽♂️
- **`parse_transcript Function`**: This function takes the transcript text, splits it into separate messages, and filters out the unwanted substrings, giving you a clean and structured output.
- **`Moderation with Lakera`**: Before making a call, the objective (prompt) text is sent to Lakera for moderation. If it contains hate speech or sexual content, the call won't proceed. So, keep it classy!
- **`Session State`**: We use the session state to hold onto your messages throughout your session.
## This Streamlit app is powered by 🔋
[](https://www.respell.ai/)
[](https://www.lakera.ai/)