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app.py

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+#Back to Lesson 2, time flies!
+from text_generation import Client
+import gradio as gr
+#FalcomLM-instruct endpoint on the text_generation library
+client = Client("https://api-inference.huggingface.co/models/tiiuae/falcon-40b-instruct", headers={"Authorization": f"Bearer {hf_api_key}"}, timeout=120)
+hf_api_key = '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'
+
+def generate(input, slider):
+    output = client.generate(input, max_new_tokens=slider).generated_text
+    return output
+
+demo = gr.Interface(fn=generate, inputs=[gr.Textbox(label="Prompt"), gr.Slider(label="Max new tokens", value=20,  maximum=1024, minimum=1)], outputs=[gr.Textbox(label="Completion")])
+demo.launch()