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Update app.py
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app.py
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@@ -6,12 +6,19 @@ model_name = "gpt2"
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GPT2Tokenizer.from_pretrained(model_name)
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GPT2LMHeadModel.from_pretrained(model_name)
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# Load the pipeline
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generator = pipeline(
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# Function to generate text
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def generate_text(prompt):
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output = generator(prompt,
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return output[0]['generated_text']
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# Build the interface
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@@ -23,5 +30,5 @@ iface = gr.Interface(
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description="Generate text with AI!"
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)
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# Launch it
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iface.launch()
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GPT2Tokenizer.from_pretrained(model_name)
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GPT2LMHeadModel.from_pretrained(model_name)
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# Load the pipeline with additional parameters
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generator = pipeline(
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'text-generation',
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model=model_name,
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do_sample=True, # Enables sampling for more creative output
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temperature=0.7, # Controls randomness (0.7 is balanced for creativity and coherence)
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top_k=50, # Limits the vocabulary to the top 50 most likely tokens
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max_length=150 # Increased length for longer responses
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)
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# Function to generate text
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def generate_text(prompt):
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output = generator(prompt, num_return_sequences=1)
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return output[0]['generated_text']
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# Build the interface
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description="Generate text with AI!"
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)
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# Launch it
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iface.launch()
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