Improve with LLM model

.gitignore

@@ -0,0 +1,2 @@
+.ipynb_checkpoints/
+__pycache__

app.py

@@ -1,7 +1,27 @@
+from transformers import pipeline
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+model = pipeline("text-generation")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+
+def predict(prompt):
+    completion = model(prompt)[0]["generated_text"]
+    return completion
+
+title = "Ask Rick a Question"
+description = """
+The bot was trained to answer questions based on Rick and Morty dialogues. Ask Rick 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()