Create app.py

app.py

@@ -0,0 +1,42 @@
+import gradio as gr
+import joblib
+import numpy as np
+from huggingface_hub import hf_hub_download
+
+model_path = hf_hub_download(
+    repo_id="lastcode/pyrolysis-distillation-predictor",
+    filename="pyrolysis_model.joblib"
+)
+model = joblib.load(model_path)
+
+
+def predict(distillate_to_feed_ratio, feed_stage, top_stage_pressure, temp, feed_flow_rate):
+    X = np.array([[distillate_to_feed_ratio, feed_stage, top_stage_pressure, temp, feed_flow_rate]])
+    pred = model.predict(X)
+    naptha = round(float(pred[0][0]), 4)
+    diesel  = round(float(pred[0][1]), 4)
+
+    naptha_status = "✅" if naptha >= 0.90 else "❌ below 90%"
+    diesel_status  = "✅" if diesel  >= 0.90 else "❌ below 90%"
+
+    return naptha, diesel
+
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Number(label="Distillate_To_Feed_Ratio", value=0.35),
+        gr.Number(label="Feed_Stage",               value=10),
+        gr.Number(label="top_stage_pressure_(bar)", value=2.5),
+        gr.Number(label="Temp_of_Field_(C)",        value=150),
+        gr.Number(label="Feed_Flow_Rate_(Kg/hr)",   value=1000),
+    ],
+    outputs=[
+        gr.Number(label="Predicted NAPTHA"),
+        gr.Number(label="Predicted DIESEL")
+    ],
+    title="Pyrolysis Distillation Predictor",
+    description="Predicts NAPTHA and DIESEL purity",
+)
+
+demo.launch()