Update

app.py

@@ -10,16 +10,16 @@ model = AutoModel.from_pretrained(model_path)
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 pipe = pipeline(task='text2text-generation', model=model, tokenizer=tokenizer)
 
-def paraphrase(text):
+def paraphrase(text, min_len, max_len=128, n_beams=5):
   for j in range(3):
-    out = pipe(text, encoder_no_repeat_ngram_size=4, do_sample=True, num_beams=5, max_length=128)[0]['generated_text']
+    out = pipe(text, encoder_no_repeat_ngram_size=4, do_sample=True, num_beams=n_beams, max_length=max_len)[0]['generated_text']
     print("Paraphrase:", out)
 
-link = st.text_area('Paste your link here...', "من با دوستام میرم بازی", height=50)
+text = st.text_area('Paste your link here...', "من با دوستام میرم بازی", height=50)
+num_beams = st.sidebar.slider('طول Beam', min_value=1, max_value=10, value=5, step=1)
 min_length = st.sidebar.slider('حداقل طول جمله', min_value=10, max_value=100, value=50, step=10)
 max_length = st.sidebar.slider('حداکثر طول طول جمله', min_value=30, max_value=700, value=100, step=10)
-num_beams = st.sidebar.slider('طول Beam', min_value=1, max_value=10, value=5, step=1)
-out = paraphrase(link)
+out = paraphrase(text, num_beams, min_length, max_length)
 st.write(out)
 # x = st.slider('Select a value')
 # st.write(x, 'squared is', x * x)