Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+from fastapi import FastAPI
+
+app = FastAPI()
+
+# Load the model using Hugging Face Transformers
+generator = pipeline("text-generation", model="EleutherAI/gpt-neo-1.3B")
+
+@app.post("/generate")
+def generate_text(prompt: str):
+    # Generate text using the loaded model
+    text = generator(prompt, max_length=50, num_return_sequences=1)[0]['generated_text']
+    
+    # Save the generated text to a file
+    with open("generated_text.txt", "w") as file:
+        file.write(text)
+    
+    # Return the path to the saved file
+    return {"message": "Text generated successfully", "file_path": "generated_text.txt"}