Update app.py

app.py

@@ -1,15 +1,16 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+nlp= pipeline(task="question-answering", model="mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es")
 
-def predict(image):
-  predictions = pipeline(image)
-  return {p["label"]: p["score"] for p in predictions}
+def qnamodel(context,question):
+  question_set = {'context':context,'question':question}
+  results = nlp(question_set)
+  return results['answer']
 
 gr.Interface(
-    predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
-    outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
+    qnamodel,
+    inputs=[gr.inputs.Textbox(label="Pon el texto a analizar aquí", max_lines=300), gr.inputs.Textbox(lines=2, label="Pregunta")],
+    outputs=gr.outputs.Textbox(label="Respuesta"),
+    title="Preguntas y respuestas",
 ).launch()