Update app.py

app.py

@@ -16,7 +16,7 @@ def load_models():
     st.session_state.translation_tokenizer = AutoTokenizer.from_pretrained("botisan-ai/mt5-translate-yue-zh")
     st.session_state.translation_model = AutoModelForSeq2SeqLM.from_pretrained("botisan-ai/mt5-translate-yue-zh")
     
-    st.session_state.rating_pipe = pipeline("sentiment-analysis", model="uer/roberta-base-finetuned-dianping-chinese")
+    st.session_state.rating_pipe = pipeline("text-classification", model="uer/roberta-base-finetuned-dianping-chinese")
 
 def transcribe_audio(audio_path):
     pipe = st.session_state.transcription_pipe
@@ -31,8 +31,9 @@ def translate_text(text):
 
 def rate_quality(text):
     result = st.session_state.rating_pipe(text)[0]
-    label_map = {"LABEL_0": "Poor", "LABEL_1": "Average", "LABEL_2": "Good"}
-    return label_map.get(result["label"], "Unknown")
+    label = result["label"].lower()
+    label_map = {"negative": "Poor", "neutral": "Average", "positive": "Good"}
+    return label_map.get(label, "Unknown")
 
 def main():
     st.title("Audio Processing & Conversation Quality Rating")