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Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Define a function for generating text
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def generate_text(prompt, max_length, temperature, top_k, top_p):
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import os
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import gradio as gr
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from transformers import pipeline, GPT2LMHeadModel, GPT2Tokenizer
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HF_TOKEN = os.getenv("HF_TOKEN")
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# Load the tokenizer and model explicitly as GPT2 to avoid config issues
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model_name = 'Jonathanmann/GPT2-medium-SADnov21'
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tokenizer = GPT2Tokenizer.from_pretrained(model_name, use_auth_token=HF_TOKEN)
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model = GPT2LMHeadModel.from_pretrained(model_name, use_auth_token=HF_TOKEN)
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# Define the text generation pipeline
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generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
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# Define a function for generating text
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def generate_text(prompt, max_length, temperature, top_k, top_p):
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