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Update app.py
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app.py
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@@ -1,5 +1,5 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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json.dump(data, f)
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print("Data successfully saved to data.json")
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# Add a title to the UI
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title = "<h1 style='text-align: center;'>Corenet</h1>"
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@@ -68,7 +76,7 @@ demo = gr.ChatInterface(
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title=title,
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description=description,
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additional_inputs=[pre_prompt,
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gr.Slider(minimum=256, maximum=8192, value=512, step=
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gr.Slider(minimum=0.3, maximum=2.5, value=0.8, step=0.1, label="Creativity"),
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gr.Slider(
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minimum=0.1,
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient, HfApi, HfFolder
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import json
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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json.dump(data, f)
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print("Data successfully saved to data.json")
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# Save the file to Hugging Face space
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hf = HfApi()
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token = HfFolder.get_token()
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namespace = "Tech-Meld/HX-Mistral_Alpha"
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filename = "./data.json"
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hf.upload_file(filename, namespace, token=token)
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print("File successfully uploaded to Hugging Face space")
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# Add a title to the UI
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title = "<h1 style='text-align: center;'>Corenet</h1>"
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title=title,
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description=description,
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additional_inputs=[pre_prompt,
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gr.Slider(minimum=256, maximum=8192, value=512, step=64, label="Max Gen tokens"),
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gr.Slider(minimum=0.3, maximum=2.5, value=0.8, step=0.1, label="Creativity"),
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gr.Slider(
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minimum=0.1,
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if __name__ == "__main__":
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demo.launch()
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