Delete generate_schema.py

generate_schema.py

@@ -1,45 +0,0 @@
-import requests
-import json
-import os
-import os
-from dotenv import load_dotenv
-import streamlit as st
-
-API_KEY = st.secrets["hf_token"]
-
-
-
-def generate_schema(user_prompt):
-    """ Generates a synthetic dataset schema using Hugging Face API. """
-
-    system_prompt = """
-You are an expert data scientist designing synthetic datasets.
-For any given dataset description, generate:
-- Column names
-- Data types (string, int, float, date)
-- Approximate row count
-
-Output in **pure JSON** format like:
-{
-    "columns": ["PatientID", "Age", "Gender", "Diagnosis"],
-    "types": ["int", "int", "string", "string"],
-    "size": 500
-}
-"""
-
-    payload = {
-        "inputs": system_prompt + "\n\nUser request: " + user_prompt,
-        "options": {"wait_for_model": True}
-    }
-
-    response = requests.post(HF_MODEL_URL, headers={"Authorization": f"Bearer {API_KEY}"}, json=payload)
-
-    if response.status_code == 200:
-        try:
-            output = response.json()[0]['generated_text']
-            schema = json.loads(output.strip())  # Convert to JSON
-            return schema
-        except json.JSONDecodeError:
-            return {"error": "Invalid JSON output from model. Try again."}
-    else:
-        return {"error": f"API request failed. Status Code: {response.status_code}"}