app.py

# import gradio as gr
# from transformers import pipeline
# from TTS.api import TTS

# captioner = pipeline(model="microsoft/git-base")
# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)

# def predict(image):
#     text = captioner(image)[0]["generated_text"]

#     audio_output = "output.wav"
#     tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=audio_output)
    
#     return text, audio_output

# demo = gr.Interface(
#     fn=predict,
#     inputs=gr.Image(type="pil"),
#     outputs=['text', gr.Audio()]
# )

# demo.launch()

# gr.Interface.load("models/ronniet/git-base-env").launch()
# gr.Interface.load("models/microsoft/git-base").launch()