Update app.py

app.py

@@ -1,13 +1,16 @@
 import gradio as gr
+from transformers import pipeline
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
+# 감정 분석 모델 로드
+sentiment_pipeline = pipeline("sentiment-analysis", model="beomi/KcELECTRA-base")
+
+# 생성 모델 (Zephyr)
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
-def respond(
+# 감정 분석 + 재작성 함수
+def rewrite_if_negative(
     message,
     history: list[tuple[str, str]],
     system_message,
@@ -15,50 +18,50 @@ def respond(
     temperature,
     top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    #감정 분석
+    result = sentiment_pipeline(message)[0]
+    label = result['label']
+    score = result['score']
 
+    #메시지 초기화
+    messages = [{"role": "system", "content": system_message}]
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
-
-    response = ""
+    #문장 재작성 여부 판단
+    if label == "LABEL_1" and score > 0.8:
+        messages.append({"role": "user", "content": f"다음 문장을 공감 가는 말로 바꿔줘: {message}"})
+        response = ""
+        for chunk in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            token = chunk.choices[0].delta.content
+            response += token
+            yield response
+    else:
+        yield "표현이 괜찮."
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
 
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio 인터페이스 구성
 demo = gr.ChatInterface(
-    respond,
+    fn=rewrite_if_negative,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="너는 부드러운 말투로 말하는 AI야.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
+    title="문장 어시스턴스",
+    description="문장을 입력하면 감정을 분석하고, 너무 부정적인 말투는 공감 가는 표현으로 바꿔줌",
+    theme="soft",
 )
 
-
 if __name__ == "__main__":
     demo.launch()