actualizando app.py

app.py

@@ -1,7 +1,26 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+#api = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+#api = gr.Interface.load("./models/mt5-small-finetuned-amazon-en-es")
+#api = gr.Interface.load("huggingface/vhpvmx/mt5-small-finetuned-amazon-en-es") #ESTE LO CARGA
+
+hub_model_id = "vhpvmx/mt5-small-finetuned-amazon-en-es"
+summarizer = pipeline("summarization", model=hub_model_id)
+
+#model="./models/mt5-small-finetuned-amazon-en-es"
+#summarizer = pipeline("summarization", model)
+
+def summary(text):
+    return summarizer(text)[0]["summary_text"]
+
+
+with gr.Blocks() as demo:
+    input_text = gr.Textbox(placeholder="Ingresa la reseña del libro...", lines=4)
+    output_text = gr.Textbox(label="Resumen")
+    btn = gr.Button("Genera el resumen")
+
+    btn.click(summary, input_text, output_text)
+
+demo.launch()