created app.py

app.py

@@ -0,0 +1,20 @@
+from fastapi import FastAPI
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load the model and tokenizer
+model_name = "sander-wood/bgpt"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+app = FastAPI()
+
+@app.get("/")
+def greet_json():
+    return {"Hello": "World!"}
+
+@app.get("/generate/")
+def generate_text(prompt: str):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=100, num_return_sequences=1)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return {"Generated Text": generated_text}