probando el primer modelo en inglés

app.py

@@ -1,4 +1,6 @@
 import gradio as gr
+from transformers import pipeline
+from pathlib import Path
 
 docs = None
 
@@ -18,28 +20,39 @@ def validate_dataset(dataset):
     else:
         return "⚠️Esperando documentos..."
 
-
-def do_ask(question, button, dataset, progress=gr.Progress()):
-    global docs
-    docs_ready = dataset.iloc[-1, 0] != ""
-    if button == "✨Listo✨" and docs_ready:
-        if docs is None:  # don't want to rebuild index if it's already built
-            import paperqa
-            docs = paperqa.Docs()
-            # dataset is pandas dataframe
-            for _, row in dataset.iterrows():
-                key = None
-                if ',' not in row['citation string']:
-                    key = row['citation string']
-                docs.add(row['filepath'], row['citation string'], key=key)
-    else:
-        return ""
-    progress(0, "Construyendo índices...")
-    docs._build_faiss_index()
-    progress(0.25, "Encolando...")
-    result = docs.query(question)
-    progress(1.0, "¡Hecho!")
-    return result.formatted_answer, result.context
+def do_ask(question, button, dataset):
+
+global docs
+docs_ready = dataset.iloc[-1, 0] != ""
+if button == "✨Listo✨" and docs_ready:
+    path = dataset["filepath"]
+    txt = Path('path.txt').read_text()
+    question_answerer = pipeline("question-answering", model='distilbert-base-cased-distilled-squad')
+    return question_answerer(question, context=text)
+else:        
+    return ""
+
+# def do_ask(question, button, dataset, progress=gr.Progress()):
+#     global docs
+#     docs_ready = dataset.iloc[-1, 0] != ""
+#     if button == "✨Listo✨" and docs_ready:
+#         if docs is None:  # don't want to rebuild index if it's already built
+#             import paperqa
+#             docs = paperqa.Docs()
+#             # dataset is pandas dataframe
+#             for _, row in dataset.iterrows():
+#                 key = None
+#                 if ',' not in row['citation string']:
+#                     key = row['citation string']
+#                 docs.add(row['filepath'], row['citation string'], key=key)
+#     else:
+#         return ""
+#     progress(0, "Construyendo índices...")
+#     docs._build_faiss_index()
+#     progress(0.25, "Encolando...")
+#     result = docs.query(question)
+#     progress(1.0, "¡Hecho!")
+#     return result.formatted_answer, result.context
 
 
 with gr.Blocks() as demo:
@@ -73,7 +86,7 @@ with gr.Blocks() as demo:
         label="Documentos y citas"
     )
     buildb = gr.Textbox("⚠️Esperando documentos...",
-                        label="Status", interactive=False, show_label=True)
+                        label="Estado", interactive=False, show_label=True)
     dataset.change(validate_dataset, inputs=[
                    dataset], outputs=[buildb])
     uploaded_files.change(request_pathname, inputs=[
@@ -87,8 +100,10 @@ with gr.Blocks() as demo:
         gr.Markdown(
             "### Contexto\n\nEl siguiente contexto ha sido utilizado para generar la respuesta:")
         context = gr.Markdown(label="Contexto")
+    # ask.click(fn=do_ask, inputs=[query, buildb,
+    #                              dataset], outputs=[answer, context])
     ask.click(fn=do_ask, inputs=[query, buildb,
-                                 dataset], outputs=[answer, context])
+                                 dataset], outputs=[answer])
 
 demo.queue(concurrency_count=20)
 demo.launch(show_error=True)