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import gradio as gr
from transformers import pipeline
# Load your model
generator = pipeline("text-generation", model="arun86/EmpathAI")
# Define the function
def generate_text(prompt):
return generator(prompt,
max_length=500, # Adjust according to your needs
num_return_sequences=1,
temperature=0.7,
top_k=50,
top_p=0.95)[0]["generated_text"]
# Create the Gradio interface
interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
# Launch the interface
interface.launch()
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