all

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
+from sklearn.ensemble import RandomForestRegressor
+import pickle
 
-def greet(name):
-    return "Hello " + name + "!!!"
+def predict_price(area, year, if_center, if_senamiestis, rooms):
+    x = pd.DataFrame([{'details__Plotas': area, 'details__Metai': year, 'seniunija__Centras': if_center,
+                           'seniunija__Senamiestis': if_senamiestis, 'details__Kambarių sk.': rooms}])
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+    return float(rf.predict(x))
+
+
+filename = 'simple_rf_model.pickle'
+loaded_model = pickle.load(open(filename, 'rb'))
+
+iface = gr.Interface(fn=predict_price, inputs="text", outputs="text")
+iface.launch()

simple_rf_model.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62e235586e4ffea2603a9bec471197a93d24c166b5bd98ef13b2e1b05c623701
+size 17463874