Added app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("translation", model="fubuki119/opus-mt-en-hi")
+
+title = "English to Hindi Translator"
+
+
+description = """
+This model is fine-tuned version of <a href="https://huggingface.co/Helsinki-NLP/opus-mt-en-hi">Helsinki-NLP/opus-mt-en-hi</a> model on 
+<a href="https://huggingface.co/datasets/cfilt/iitb-english-hindi"> iitb-english-hindi </a> dataset.
+<img src="https://github.com/VaruN-dev-dev/Machine-Translation/blob/master/images/app_image.png" width=200px>
+"""
+
+def generate(text):
+  hi_sen = pipe(text)[0]["translation_text"]
+  return hi_sen
+
+input_box = gr.Textbox(label="English sentence", placeholder="Your english sentence here.", lines=2)
+dem = gr.Interface(fn=generate,
+                   inputs=input_box,
+                   outputs="text",
+                   title=title,
+                   description=description,
+                   examples=[["What a beautiful day"], ["What are you doing?"]])
+dem.launch(share=True, debug=True)