added torch

app.py

@@ -1,7 +1,17 @@
+from transformers import pipeline
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+model_id = "gpt2-large"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+pipe = pipeline("text-generation", model=model_id)
+
+def gpt(prompt):
+    return pipe(prompt, top_k=top_k, penalty_alpha=penalty_alpha)[0]["generated_text"]
+
+gr.Interface(
+    explore_gpt_model,
+    ["text",gr.Slider(minimum=0, maximum=50, step=1,label="Top_k"),gr.Slider(minimum=0.1, maximum=1.0,label="penalty_alpha")],
+    "text",
+    title= "Arun's GPT chatbot",
+    description = "This is Arun's experimental GPT interface exposing gpt2-large, feel free to experiment"
+).launch()

requirements.txt

@@ -1,2 +1,3 @@
 transformers
 gradio
+torch