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How to Create a Voice-Enabled Weather App Using LangChain and GPT-4 | Tutorial 83
Welcome to Total Technology Zone! In this tutorial, we will learn how to create a voice-enabled weather app using Streamlit, LangChain, GPT-4, and 11 Labs API. This application will allow you to ask for the weather in any city using your microphone and hear the response from your speakers. Let's dive into the step-by-step process.
Tutorial Overview
In this tutorial, you will learn to:
1. *Create a Streamlit UI* to accept user instructions from the microphone.
2. *Convert audio input into text.*
3. *Use LangChain and GPT-4* to extract the city name from the input text.
4. *Call the OpenWeather API* to get the weather details for the extracted city.
5. *Convert the text response into audio* using 11 Labs API.
6. *Play the audio response* in the Streamlit UI.
Prerequisites
Streamlit
11 Labs API
LangChain
OpenAI GPT-4
OpenWeather API Key
Steps to Create the App
1. Create Streamlit UI
First, set up the Streamlit UI to accept user input from the microphone. Streamlit provides a simple way to create web apps for machine learning and data science projects.
2. Convert Audio to Text
Next, convert the audio input from the user into text. This step involves using a speech recognition tool to translate spoken words into text.
3. Extract City Name Using LangChain and GPT-4
Use LangChain and GPT-4 to process the text input and extract the city name. This is crucial because the OpenWeather API requires the city name to provide weather data.
4. Call OpenWeather API
With the city name extracted, call the OpenWeather API to fetch the current weather details for that city. Ensure you have your API key ready to access the OpenWeather services.
5. Convert Text to Audio Using 11 Labs API
Convert the text-based weather response into an audio format using the 11 Labs API. This allows the application to respond to the user in an audible format.
6. Play Audio Response in Streamlit
Finally, play the audio response in the Streamlit UI. This completes the two-way voice interaction, providing a seamless user experience.
Conclusion
By following these steps, you can create a voice-enabled weather app that accepts voice commands, extracts the city name, fetches the weather details, converts the response to audio, and plays it back to the user. Feel free to extend this app with more features and customize it further.
Full Code Repository
Check out the complete code for this tutorial on [GitHub](github.com/you....
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Happy coding!
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Tags:
Voice-Enabled App
Weather App
LangChain
GPT-4
Streamlit
11 Labs API
OpenWeather API
Python Tutorial
Keywords:
voice-enabled weather app, streamlit weather app, langchain gpt-4, openweather api tutorial, 11 labs api text to speech, python voice assistant, ai weather app tutorial, create voice-enabled app, langchain openai tutorial, streamlit voice input
Thank you for watching and happy learning!
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