Update app.py

app.py

@@ -1,20 +1,26 @@
 
 
 import gradio as gr
-from gradio.mix import Series
 
-description = "Spanish songs toxicity classification"
-title = "Pretrained models: ES-EN Translation Opus MT/ Roberta Toxicity classifier "
-
-translator_es = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-es-en")
-story_gen = gr.Interface.load("huggingface/SkolkovoInstitute/roberta_toxicity_classifier")   
-
-
-interface = Series( translator_es, story_gen, description = description,
-      title = title
+# 1. Define your title and description
+title = "Spanish Songs Toxicity Classification"
+description = "Pretrained models: ES-EN Translation (Opus MT) + Roberta Toxicity Classifier"
+
+# 2. Load the models using the modern gr.load syntax
+# Note: Adding "models/" prefix is the standard for the Hub
+translator_es = gr.load("models/Helsinki-NLP/opus-mt-es-en")
+toxicity_classifier = gr.load("models/SkolkovoInstitute/roberta_toxicity_classifier")
+
+# 3. Use gr.Series to chain them together
+# This passes the output of the translator directly into the classifier
+interface = gr.Series(
+    translator_es, 
+    toxicity_classifier, 
+    description=description,
+    title=title
 )
 
-interface.launch()
-
-
+# 4. Launch the app
+if __name__ == "__main__":
+    interface.launch()