Create app.py

app.py

@@ -0,0 +1,14 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import gradio as gr
+
+model_id = "microsoft/phi-2"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(msg):
+    out = pipe(msg, max_new_tokens=150)[0]['generated_text']
+    return out
+
+gr.Interface(fn=chat, inputs="text", outputs="text").launch()