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import gradio as gr
from sentence_transformers import SentenceTransformer
def process(api, caption, category, asr, ocr):
return api+caption+category+asr+ocr
with gr.Blocks() as demo:
text_api = gr.Textbox(label='OpenAI API key')
text_caption = gr.Textbox(label='Caption')
text_category = gr.Textbox(label='Category')
text_asr = gr.Textbox(label='ASR')
text_ocr = gr.Textbox(label='OCR')
text_output = gr.Textbox(value='', label='Output')
btn = gr.Button(value='Submit')
btn.click(process, inputs=[text_api, text_caption, text_category, text_asr, text_ocr], outputs=[text_output])
if __name__ == "__main__":
demo.launch() |