Update app.py

app.py

@@ -13,16 +13,9 @@ model = PeftModel.from_pretrained(model, "mohamedemam/Arabic-meeting-summarizati
 model_name ="bigscience/bloomz-3b"
 tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-3b")
 model.eval()
-import wikipediaapi
 
 
 # Create a Wikipedia API instance
-wiki_wiki = wikipediaapi.Wikipedia('MyProjectName ([email protected])', '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
 
 
 # Function to generate questions and answers with configurable parameters
@@ -31,8 +24,7 @@ def generate_qa(context, temperature, top_p,num_seq,l_p, num_b):
     input_ids = tokenizer(text=input_text, return_tensors='pt')
     
     # Generate with configurable parameters
-    output = model.generate(
-        **input_ids,
+    output = model.generate(**input_ids,
         temperature=temperature,
         top_p=top_p,
         num_return_sequences=num_seq,