Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from transformers import pipeline
+
+model_checkpoint = "erwanlc/t5-cocktails_recipe-base"
+tt_generator = pipeline("text2text-generation", model=model_checkpoint)
+
+def generate_text(inp):
+    result = tt_generator(inp, min_length=20, max_length=1024, do_sample=True, temperature=1.0, top_p=1.0)
+    return result
+
+output_text = gr.outputs.Textbox()
+gr.Interface(fn=generate_text, inputs="textbox", outputs=output_text).launch(share=True)