Create app.py

app.py

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+import streamlit as st
+from transformers import AutoTokenizer, AutoModelWithLMHead
+import torch
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+first = """informal english: corn fields are all across illinois, visible once you leave chicago.\nTranslated into the Style of Abraham Lincoln: corn fields ( permeate illinois / span the state of illinois / ( occupy / persist in ) all corners of illinois / line the horizon of illinois / envelop the landscape of illinois ), manifesting themselves visibly as one ventures beyond chicago.\n\ninformal english:"""
+
+@st.cache(allow_output_mutation=True)
+def get_model():
+    model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln16")
+    print("hello")
+    model.to(device)
+    print("hello")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln16")
+    print("hello")
+    return model, tokenizer
+    
+model, tokenizer = get_model()
+
+st.text('''How To Make Prompt:
+
+informal english: sega’s doing mobile gaming right with this approach to exploiting its back catalog, giving people a way to build up their library of classics on devices they’ll always have close to hand for cheap. it’s a far better experience than nintendo’s classic machine sales on its home gaming systems, which tend to be locked in and not passed between hardware generations.
+Translated into the Style of Abraham Lincoln: pursuing the proper course, sega's foray into mobile gaming entails leveraging its back catalog of classics on portable devices that ( are certain to be in reach whenever / will be at the ready for use at all times ) ( without spending a fortune / at minimal cost ). such an endeavor comes as a welcome alternative to nintendo's propensity to ( sell / offer / market ) home gaming systems that are rigidly bound to a single hardware generation.
+Translated into the Style of Abraham Lincoln: at a time when nintendo has become inflexible, ( stubbornly bent on / firmly set on / unyielding in its insistence on / steadfastly transfixed by / uncompromising in its commitment to / rigidly decided on ) consoles that are tethered to a fixed iteration, sega diligently curates its legacy of classic video games on handheld devices.
+
+informal english: garage band has made people who know nothing about music good at creating music.
+Translated into the Style of Abraham Lincoln: garage band ( offers the uninitiated in music the ability to produce professional-quality compositions / catapults those for whom music is an uncharted art the ability the realize masterpieces / stimulates music novice's competency to yield sublime arrangements / begets individuals of rudimentary musical talent the proficiency to fashion elaborate suites ).
+
+informal english: chrome extensions can make doing regular tasks much easier to get done.
+Translated into the Style of Abraham Lincoln: chrome extensions ( yield the boon of time-saving convenience / ( expedite the ability to / unlock the means to more readily ) accomplish everyday tasks / turbocharges the velocity with which one can conduct their obligations ).
+
+informal english: broadband is finally expanding to rural areas, a great development that will thrust them into modern life.
+Translated into the Style of Abraham Lincoln: broadband is ( ( finally / at last / after years of delay ) arriving in remote locations / springing to life in far-flung outposts / inching into even the most backwater corners of the nation ) that will ( hasten their transition into the modern age / leap-frog them into the twenty-first century / facilitate their integration into contemporary life ).
+
+informal english: national parks are a big part of the us culture.
+Translated into the Style of Abraham Lincoln: the culture of the united states is ( inextricably ( bound up with / molded by / enriched by / enlivened by ) its ( serene / picturesque / pristine / breathtaking ) national parks ).
+
+informal english: corn fields are all across illinois, visible once you leave chicago.
+Translated into the Style of Abraham Lincoln: corn fields ( permeate illinois / span the state of illinois / ( occupy / persist in ) all corners of illinois / line the horizon of illinois / envelop the landscape of illinois ), manifesting themselves visibly as one ventures beyond chicago.
+
+informal english:''')
+
+temp = st.sidebar.slider("Temperature", 0.7, 1.5)
+number_of_outputs = st.sidebar.slider("Number of Outputs", 5, 50)
+lengths = st.sidebar.slider("Length", 3, 10)
+bad_words = st.text_input("Words You Do Not Want Generated", " core lemon height time ")
+
+def run_generate(text, bad_words):
+  yo = []
+  input_ids = tokenizer.encode(text, return_tensors='pt').to(device)
+  res = len(tokenizer.encode(text))
+  bad_words = bad_words.split()
+  bad_word_ids = []
+  for bad_word in bad_words: 
+    bad_word = " " + bad_word
+    ids = tokenizer(bad_word).input_ids
+    bad_word_ids.append(ids)
+  sample_outputs = model.generate(
+    input_ids,
+    do_sample=True, 
+    max_length= res + lengths, 
+    min_length = res + lengths, 
+    top_k=50,
+    temperature=temp,
+    num_return_sequences=number_of_outputs,
+    bad_words_ids=bad_word_ids
+  )
+  for i in range(number_of_outputs):
+    e = tokenizer.decode(sample_outputs[i])
+    e = e.replace(text, "")
+    yo.append(e)
+  return yo
+with st.form(key='my_form'):
+    text = st.text_area(label='Enter sentence', value=first)
+    submit_button = st.form_submit_button(label='Submit')
+    if submit_button:
+      translated_text = run_generate(text, bad_words)
+      st.write(translated_text if translated_text else "No translation found")
+      with torch.no_grad():
+        text2 = str(text)
+        print(text2)
+        text3 = tokenizer.encode(text2)
+        myinput, past_key_values = torch.tensor([text3]), None
+        myinput = myinput
+        myinput= myinput.to(device)
+        logits, past_key_values = model(myinput, past_key_values = past_key_values, return_dict=False)
+        logits = logits[0,-1]
+        probabilities = torch.nn.functional.softmax(logits)
+        best_logits, best_indices = logits.topk(100)
+        best_words = [tokenizer.decode([idx.item()]) for idx in best_indices]      
+        st.write(best_words)