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import gradio as gr
import my_uie
import face_emo_analysize
def text_emo_analysize(text):
text_outcome = my_uie.emo_analy(text)
return text_outcome
def face_emo_analyze():
# ๅ่ฎพ face_emo_analysize.face_emo_analysize() ไผๆๅผๆๅๅคดๅนถๆ่ท่กจๆ
face_outcome = face_emo_analysize.face_emo_analysize()
return face_outcome
# ๅๅปบGradio็้ข
with gr.Blocks() as demo:
gr.Markdown("# ๆ
ๆๅๆๅบ็จ")
gr.Markdown("่พๅ
ฅไฟกๆฏ๏ผ่ทๅๆ
ๆๅๆ็ปๆใ")
with gr.Row():
with gr.Column():
text_input = gr.Textbox(lines=2, placeholder='ๅจ่ฟ้่พๅ
ฅๆๆฌ')
text_submit_button = gr.Button("ๆไบคๆๆฌๆ
ๆๅๆ")
text_output = gr.Textbox(label="ๆๆฌๆ
ๆๅๆ็ปๆ")
with gr.Row():
face_button = gr.Button("ๆง่ก้ข้จๆ
ๆๅๆ")
face_output = gr.Textbox(label="้ข้จๆ
ๆๅๆ็ปๆ")
def on_face_button_click():
# ่ฐ็จ face_emo_analyze ๅฝๆฐๅนถ่ฟๅ็ปๆ
face_outcome = face_emo_analyze()
return face_outcome
face_button.click(on_face_button_click, inputs=None, outputs=face_output)
text_submit_button.click(text_emo_analysize, inputs=text_input, outputs=text_output)
demo.launch() |