finalmaybe

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import torch
 
 # Import libraries from transformers
 from transformers import AutoTokenizer, AutoModelForQuestionAnswering
@@ -13,6 +14,15 @@ def answer_question(context, question):
   # Encode the context and question
   inputs = tokenizer(context, question, return_tensors="pt")
 
+  # Perform question answering
+  outputs = model(**inputs)
+
+  # Get the predicted start and end token positions
+  start_scores, end_scores = outputs.start_logits, outputs.end_logits
+
+  # Decode the answer based on predicted positions
+  answer_start = torch.argmax(start_scores)
+  answer_end = torch.argmax(end_scores) + 1
 
   # Get answer tokens and convert them to string
   answer = tokenizer.convert_ids_to_tokens(inputs["input_ids"][0])