first commit

app.py

@@ -0,0 +1,21 @@
+import huggingface
+from transformers import pipeline
+import random
+import gradio as gr
+from translate import Translator
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM 
+
+def classfi(input):
+  classifier= pipeline("sentiment-analysis")
+  translator= Translator(from_lang="ko", to_lang="en")
+  inputko=translator.translate(input)
+
+  return classifier(inputko)
+
+with gr.Blocks(css=".gradio-container {background-color: white}") as demo:
+  name=gr.Textbox(label="하고 싶은 이야기를 적어 감정 분석하기 버튼을 눌러보세요")
+  output=gr.Textbox(label="당신의 감정 상태를 알려줍니다.")
+  greet_btn = gr.Button("감정 분석하기")
+  greet_btn.click(fn=classfi, inputs=name, outputs=output)
+  demo.launch(debug = True, share = True)