upload a audio file to generate a transcript and then use GPT-3 to classify the transcripts sentiment.
- Simply run the command pip install -r requirements.txt to install the necessary dependencies.
- Head over to this link and follow the steps to get a comprehensive overview of the architecture of OpenAI's whisper models.
- Simply run the command:
streamlit run app.py
- Navigate to http://localhost:8501 in your web-browser.
- By default, streamlit allows us to upload files of max. 200MB. If you want to have more size for uploading audio files, execute the command :
streamlit run app.py --server.maxUploadSize=1028
Create a .env file in the root of the project and add your OpenAI GPT3 Key like this: OPENAI_API_KEY="sk-4xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx5"
Go to this line in app.py. Here you can modify the prompt to your needs. You can use the OpenAI Playground to test these first here
On lablab discord, we discuss this repo and many other topics related to artificial intelligence! Checkout upcoming Artificial Intelligence Hackathons Event
