Create chat.py

chat.py

@@ -0,0 +1,12 @@
+import gradio as gr 
+from transformers import automodel, pipeline
+from datasets import load_dataset
+
+dataset = load_dataset("mahekjasani/hindidataset")
+
+pipline= pipeline('Text Classification')
+text= gr.tetx_area('enter some text!')
+
+if text:
+    out = pipe(text)
+    gr.json(out)