Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import pipeline
+
+
+def analyze_output(input):
+    pipe = pipeline("text-classification", model="Titeiiko/OTIS-Official-Spam-Model")
+    x = pipe(input)[0]
+    if x["label"] == "LABEL_0":
+        return {"type":"Not Spam", "probability":x["score"]}
+    else:
+        return {"type":"Spam", "probability":x["score"]}
+
+
+demo = gr.Interface(fn=analyze_output, inputs="text", outputs="text")
+demo.launch()