Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from transformers import pipeline
|
| 2 |
+
import gradio as gr
|
| 3 |
+
|
| 4 |
+
pipe = pipeline("text-classification", model="topsinfosolutions/indian-state-by-name")
|
| 5 |
+
|
| 6 |
+
def predict(text):
|
| 7 |
+
result = pipe(text)
|
| 8 |
+
return result[0]["label"]
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
iface = gr.Interface(
|
| 12 |
+
fn=predict,
|
| 13 |
+
inputs=gr.Textbox(label="Enter an Indian name", placeholder="Enter a name here..."),
|
| 14 |
+
outputs=gr.Textbox(label="Predicted Indian State"),
|
| 15 |
+
title="Indian State Prediction - (Just Trained on Few States and Only 81 Example data, expect upto 70% accurate.)",
|
| 16 |
+
description="Predicts the Indian state based on a given name.",
|
| 17 |
+
examples=[
|
| 18 |
+
["Anuradha Singh Krishnan"],
|
| 19 |
+
["Ramesh Kumar"],
|
| 20 |
+
["Priya Sharma"],
|
| 21 |
+
["Vivak Gajjar"],
|
| 22 |
+
["Aishwarya Rai"],
|
| 23 |
+
["Mamata Banerjee"]
|
| 24 |
+
]
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
iface.launch()
|