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feat: Added required files
Browse files- app.py +47 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from transformers import pipeline
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model_tag = "amanneo/distilgpt2-emailgen-finetuned-custom-mail"
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tokenizer_tag = "distilgpt2"
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generator = pipeline(
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'text-generation',
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model=model_tag,
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do_sample=False,
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early_stopping=True,
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tokenizer=tokenizer_tag
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)
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generation_args = {
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"min_length": 4,
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"max_length": 64,
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"length_penalty": 0.5,
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"no_repeat_ngram_size": 2,
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"do_sample": False,
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"num_beams": 4,
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"early_stopping": True,
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"repetition_penalty": 3.5,
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}
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# Main function
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def text_generator(seed_text,min_n,max_n):
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generation_args["min_length"] = min_n
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generation_args["max_length"] = max_n
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prompt = seed_text
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result = generator(
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prompt,
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**generation_args,
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)
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return result[0]['generated_text']
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iface = gr.Interface(
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fn=text_generator,
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inputs=["text","slider","slider"],
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outputs="text",
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title="Text Generator",
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live=False
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)
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iface.launch(debug=True)
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requirements.txt
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gradio
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transformers
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