implement text generation with olmo

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app.py

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+import hf_olmo
+
+from transformers import pipeline
+import gradio as gr
+
+
+olmo_pipe = pipeline("text-generation", model="allenai/OLMo-1B")
+
+
+def generate(input):
+    output = olmo_pipe(input)
+    return output[0]["generated_text"]
+
+
+demo = gr.Interface(fn=generate, 
+                    inputs=gr.Textbox(label="Prompt"), 
+                    outputs=gr.Textbox(label="Completion"),
+                    title="Text Generation with OLMo-1B",
+                    description="Generate any text using the `allenai/OLMo-1B` model under the hood!",
+                    examples=["Large Language Model is", "The meaning of life is"]
+                    )
+demo.launch()

requirements.txt

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+transformers[torch]
+gradio
+ai2-olmo