Update app.py

app.py

@@ -10,14 +10,15 @@ model = GPT2LMHeadModel.from_pretrained("ethzanalytics/ai-msgbot-gpt2-XL-dialogu
 script_speaker_name = "person alpha"
 
 script_responder_name = "person beta"
-def output(prompt):
+def output(prompt, output_length):
     global convo
     sentence = convo + '\n' + script_speaker_name + ': ' + prompt + '\n' + script_responder_name + ': '
     input_ids = tokenizer.encode(sentence, return_tensors='pt')
     # generate text until the output length (which includes the context length) reaches 50
-    output = model.generate(input_ids, max_length=50, num_beams=5, no_repeat_ngram_size=2, early_stopping=True)
+    output = model.generate(input_ids, max_new_tokens=output_length, num_beams=5, no_repeat_ngram_size=2, early_stopping=True)
     convo = tokenizer.decode(output[0], skip_special_tokens=True)
     return convo
 convo = ''
-iface = gr.Interface(fn=output, inputs="text", outputs="text")
+
+iface = gr.Interface(fn=output, inputs=["text", Slider(minimum=0.0, maximum=1.0, step=0.05, default=0.4, label="Output Length")], outputs="text")
 iface.launch()