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Update app.py
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app.py
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@@ -1,6 +1,10 @@
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import gradio as gr
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from transformers import pipeline
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from gtts import gTTS
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# gpt2-large model text generation
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def text_gen(prompt):
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#res_k = generator(prompt, max_new_tokens=120, num_return_sequences=1, do_sample=True, top_k=4)
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#res_c = generator(prompt, max_new_tokens=100, num_return_sequences=1, penalty_alpha=0.6, top_k=4)
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#<span style="font-family:Papyrus; font-size:2em;">👽 0xZee</span>
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res = generator(prompt,
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res = res[0]['generated_text']
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# text_to_audio
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audio = gTTS(text=res, lang='en', slow=False)
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def complete_with_gpt(text):
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complete = pipeline("text-generation", model='openai-gpt')
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res = complete(text[-50:], max_new_tokens=100, num_return_sequences=1)
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return res[0]['generated_text']
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import gradio as gr
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from transformers import pipeline
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from gtts import gTTS
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import torch
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# GPU control
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device = 0 if torch.cuda.is_available() else -1
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# gpt2-large model text generation
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def text_gen(prompt):
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#res_k = generator(prompt, max_new_tokens=120, num_return_sequences=1, do_sample=True, top_k=4)
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#res_c = generator(prompt, max_new_tokens=100, num_return_sequences=1, penalty_alpha=0.6, top_k=4)
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#<span style="font-family:Papyrus; font-size:2em;">👽 0xZee</span>
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res = generator(prompt, max_lenght=120, num_return_sequences=1, device=device)
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res = res[0]['generated_text']
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# text_to_audio
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audio = gTTS(text=res, lang='en', slow=False)
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def complete_with_gpt(text):
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complete = pipeline("text-generation", model='openai-gpt')
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res = complete(text[-50:], max_new_tokens=100, num_return_sequences=1, device=device)
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return res[0]['generated_text']
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