Create app.py

app.py

@@ -0,0 +1,29 @@
+from transformers import AutoTokenizer, AutoModelForQuestionAnswering, pipeline
+import gradio as gr
+import torch
+
+model = AutoModelForQuestionAnswering.from_pretrained("CUTD/qnAr")
+tokenizer = AutoTokenizer.from_pretrained("CUTD/qnAr")
+
+def generate_answer(question, context):
+    inputs = tokenizer.encode_plus(question, context, add_special_tokens=True, return_tensors="pt")
+    input_ids = inputs["input_ids"].tolist()[0]
+
+    outputs = model(**inputs)
+    answer_start_scores = outputs.start_logits
+    answer_end_scores = outputs.end_logits
+
+    answer_start = torch.argmax(answer_start_scores)
+    answer_end = torch.argmax(answer_end_scores) + 1
+
+    answer = tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(input_ids[answer_start:answer_end]))
+    return answer
+
+iface = gr.Interface(fn=generate_answer,
+                     inputs=[gr.Textbox(lines=2, placeholder="أدخل السؤال هنا..."),
+                             gr.Textbox(lines=5, placeholder="أدخل السياق هنا...")],
+                     outputs=gr.Textbox(),
+                     title="نظام الإجابة عن الأسئلة",
+                     description="اكتب سؤالك والسياق، وسيقوم النظام بتزويدك بالإجابة.")
+
+iface.launch()