Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import spacy
+from lmqg import TransformersQG
+
+spacy.cli.download("en_core_web_sm")
+
+model = TransformersQG(model='lmqg/t5-base-squad-qg', model_ae='lmqg/t5-base-squad-ae')
+
+def generate_questions(text):
+    result = []
+    final_result = []
+    max_length = 2000
+    
+    while len(text) > max_length:
+        chunk = text[:max_length]
+        last_period_index = chunk.rfind('.')
+        
+        if last_period_index != -1:
+            result.append(chunk[:last_period_index + 1])
+            text = text[last_period_index + 1:]
+        else:
+            result.append(chunk)
+            text = text[max_length:]
+
+    for i in result:
+        question_answer = model.generate_qa(i)
+        for j in range(len(question_answer):
+            question = question_answer[j][0]
+            final_result.append(question)
+
+    return final_result
+
+interface = gr.Interface(fn=generate_questions, inputs="text", outputs="text")
+interface.launch()