webapp update 03-07-2022 6:59 pm

app.py

@@ -8,15 +8,12 @@ tok = BartTokenizer.from_pretrained("hyechanjun/interview-question-remake")
 
 def genQuestion(context):
     inputs = tok(context, return_tensors="pt")
-    output = model.generate(inputs["input_ids"], num_beams=4, max_length=64, min_length=9)
+    output = model.generate(inputs["input_ids"], num_beams=4, max_length=64, min_length=9, num_return_sequences=4, diversity_penalty =1.0)
     final_output = ''
-    all_beams = []
 
     for i in range(4):
-        all_beams.append([tok.decode(beam, skip_special_tokens=True, clean_up_tokenization_spaces=False) for beam in output][i])
+        final_output +=  [tok.decode(beam, skip_special_tokens=True, clean_up_tokenization_spaces=False) for beam in output][i] + "\n"
 
-    for i in len(all_beams)
-        final_output += all_beams[i] + "\n"
     return final_output
     
 iface = gr.Interface(fn=genQuestion, inputs="text", outputs="text")