PeepDaSlan9/B2BMGMT_gen-ai-multimodel-fun

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Result

• —Multi-models in action
• —Story Telling
• —Given a image
• —Generate the caption for the image
• —Generate an background story for the text
• —Use LLM models:
• —Salesforce/blip-image-captioning-base for image captioning
• —gpt2 for text generation
• —gTTS for text to speech, gTTS is a Python library and CLI tool to interface with Google Translate's text-to-speech API.
• —openai/whisper-large-v2 for speach recognition
• —pipeline/sentiment-analysis task for sentiment analysis of the text story

Result UI: <img src='result.png' />

Audio Result:

<audio controls> <source src="audio.mp3" type="audio/mpeg"> </audio>