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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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def face_projection(text):
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processed_text = preprocess_text(text)
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face_image = generate_face_image(processed_text)
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return face_image
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def preprocess_text(text):
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return text
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def generate_face_image(processed_text):
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face_projection_pipeline = pipeline("text2image", model="Purz/face-projection")
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face_image = face_projection_pipeline(processed_text)
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return face_image
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iface = gr.Interface(
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fn=face_projection,
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inputs="text",
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outputs="image",
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title="Face Projection from Text"
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)
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iface.launch()
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