change default to camembert

app.py

@@ -80,6 +80,17 @@ class keyWordExtractor():
 def clear_input():
     return ("", "")
 
+       
+def camembert_generate_summary(article_text):
+   inputs = cmb_tokenizer([article_text], padding="max_length", truncation=True,
+                          max_length=250,
+                          return_tensors="pt")
+   input_ids = inputs.input_ids.to(device)
+   attention_mask = inputs.attention_mask.to(device)
+   output = cmb_model.generate(input_ids, attention_mask=attention_mask)
+   return cmb_tokenizer.decode(output[0], skip_special_tokens=True)
+
+    
 def t5_generate_summary(article_text):
     input_ids = t5_tokenizer(
     [WHITESPACE_HANDLER(article_text)],
@@ -228,11 +239,11 @@ with gr.Blocks() as demo:
     with gr.Tab("Summarization + Extraction"):
         with gr.Row():
             with gr.Column():
-                input_models = gr.Dropdown(['T5'], value = 'T5')
+                input_models = gr.Dropdown(['camembert'], value = 'camembert')
                 input_article = gr.TextArea(label = 'Article to be summarized')
 
             with gr.Column():
-                summarized_output = gr.TextArea(label= 'Generated summa')
+                summarized_output = gr.TextArea(label= 'Generated summary')
                 output_keyword = gr.Textbox(label="Top 3 keywords")
                 output_proper_nouns = gr.Textbox(label="Proper Nouns")