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Create app.py

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  1. app.py +25 -0
app.py ADDED
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+ import requests
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+ import gradio as gr
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+
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+ # The model endpoint on Hugging Face
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+ API_URL = "https://api-inference.huggingface.co/models/neovalle/H4rmoniousBreeze"
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+
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+ def query_model(prompt):
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+ # If your model is public, you may not need an API token.
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+ # If it’s private, you'll need:
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+ # headers = {"Authorization": "Bearer hf_..."}
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+ # and pass them in your requests.post(...) call.
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+ payload = {"inputs": prompt}
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+ response = requests.post(API_URL, json=payload)
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+ return response.json()
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+
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+ demo = gr.Interface(
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+ fn=query_model,
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+ inputs="text",
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+ outputs="text",
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+ title="H4rmoniousBreeze",
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+ description="Score narratives"
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+ )
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+
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+ if __name__ == "__main__":
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+ demo.launch()