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Update app.py
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app.py
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@@ -1,10 +1,10 @@
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from transformers import GPT2LMHeadModel,
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import streamlit as st
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# Load pre-trained GPT-2 model and tokenizer
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model_name = "gpt2" # You can try other GPT-2 variants as well
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tokenizer =
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model = GPT2LMHeadModel.from_pretrained(model_name)
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st.title("Theme Generation App")
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@@ -19,7 +19,7 @@ if st.button("Generate Themes"):
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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# Generate themes using GPT-2
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output = model.generate(input_ids, max_length=480, num_beams=5, no_repeat_ngram_size=2, top_k=50, top_p=0.95, temperature=0.
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# Decode the generated themes
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generated_themes = tokenizer.decode(output[0], skip_special_tokens=True)
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from transformers import GPT2LMHeadModel, GPT2TokenizerFast
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import streamlit as st
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# Load pre-trained GPT-2 model and tokenizer
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model_name = "gpt2" # You can try other GPT-2 variants as well
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tokenizer = GPT2TokenizerFast.from_pretrained(model_name)
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model = GPT2LMHeadModel.from_pretrained(model_name, pad_token_id=tokenizer.eos_token_id)
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st.title("Theme Generation App")
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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# Generate themes using GPT-2
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output = model.generate(input_ids, max_length=480, num_beams=5, no_repeat_ngram_size=2, top_k=50, top_p=0.95, temperature=0.5)
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# Decode the generated themes
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generated_themes = tokenizer.decode(output[0], skip_special_tokens=True)
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