Rework for summarization application

app.py

@@ -1,7 +1,19 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+def summarize(post):
+    detector = pipeline(
+        "text-classification", model="papluca/xlm-roberta-base-language-detection"
+    )
+    lang_results = detector(post)
+    if (detected_lang := lang_results[0]["label"]) == "en":
+        summarizer_model_name = "papluca/xlm-roberta-base-language-detection"
+    elif detected_lang == "es":
+        summarizer_model_name = "ELiRF/mbart-large-cc25-dacsa-es"
+    pipe = pipeline("summarization", model=summarizer_model_name)
+    return pipe(post)[0]["summary_text"]
+
+
+iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
 iface.launch()