The "Audio to Text Transcription with AssemblyAI and Streamlit" project is a web application that allows users to upload audio files and convert them into text using the AssemblyAI API. This project demonstrates the integration of AssemblyAI's powerful speech-to-text capabilities with the interactive features of Streamlit, a popular framework for creating data applications in Python.

• User-Friendly Interface: Provide a simple and intuitive web interface for users to upload audio files and receive transcriptions.
• Real-Time Transcription: Utilize AssemblyAI's API to convert audio to text in real-time.
• Interactive Features: Allow users to play the uploaded audio file within the application and view the transcription results.

• Audio File Upload: Users can upload audio files in various formats including WAV, MP3, and M4A.
• API Integration: Seamless integration with AssemblyAI API for uploading audio files and fetching transcription results.
• Real-Time Feedback: Display a progress spinner while the transcription is being processed and show the transcription result once completed.
• Audio Playback: Allow users to play the uploaded audio file directly in the application.
• Error Handling: Provide appropriate feedback in case of transcription failures.

$ git clone https://github.com/Bhavik-Jikadara/Audio-To-Text.git
$ cd Audio-To-Text/

$ pip install virtualenv
$ virtualenv venv
$ source venv/Scripts/activate

$ pip install -r requirements.txt

$ streamlit run streamlit_app.py

• Linkedin Link: https://www.linkedin.com/in/bhavikjikadara
• Github Link: https://github.com/Bhavik-Jikadara
• Facebook Link: https://www.facebook.com/Bhavikjikadara07
• Instagram Link: https://www.instagram.com/bhavikjikadara/
• twitter Link: https://twitter.com/BhavikJikadara1

• https://www.youtube.com/channel/UC7Bp_sYQmAryrrPqvUp6PwQ

• https://www.paypal.com/paypalme/bhavikjikadara