Update app.py

app.py

@@ -5,7 +5,16 @@ import re
 model_name = "mohamedemam/QA_GeneraToR"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+model.eval()
+import wikipediaapi
 
+
+# Create a Wikipedia API instance
+wiki_wiki = wikipediaapi.Wikipedia('MyProjectName (merlin@example.com)', 'en')
+page_py = wiki_wiki.page('Leo messi')
+example_contexts=page_py.text.split(f"\n")
+for i in range(len(example_contexts)):
+    example_contexts[i]=re.sub(f'\n'," ", example_contexts[i])
 # Recommended words for users to choose from
 recommended_words = [
     "which", "how", "when", "where", "who", "whom", "whose", "why",
@@ -15,15 +24,6 @@ recommended_words = [
 ]
 
 # Example contexts
-example_contexts = [
-    "when: Lionel Andrés Messi...",
-    "where: Lionel Andrés Messi...",
-    "how: Lionel Andrés Messi...",
-    "what: Lionel Andrés Messi...",
-    "where: Egypt...",
-    "where: There is evidence..."
-    # Add more examples here
-]
 
 # Function to generate questions and answers with configurable parameters
 def generate_qa(context, recommended_word, temperature, top_p,num_seq, num_samples=3):