Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+
+model = pipeline("text-generation")
+
+
+def predict(prompt):
+    completion = model(prompt)[0]["generated_text"]
+    return completion
+
+    # We instantiate the Textbox class
+textbox = gr.Textbox(label="Type your name here:", placeholder="John Doe", lines=2)
+
+title = "Ask Louise a Question"
+description = """
+The bot was trained to answer questions based module documentation. Ask Louise anything!
+<img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
+"""
+article = "Check out [the original Rick and Morty Bot](https://huggingface.co/spaces/kingabzpro/Rick_and_Morty_Bot) that this demo is based off of."
+
+gr.Interface(fn=predict, inputs="textbox", outputs="text",
+    title=title,
+    description=description,
+    article=article,
+    examples=[["What are you doing?"], ["Where should we time travel to?"]],
+).launch()