Create app.py

app.py

@@ -0,0 +1,27 @@
+from blurr.data.all import *
+from blurr.modeling.all import *
+from huggingface_hub import hf_hub_download
+from fastai.learner import load_learner
+from transformers import *
+
+pretrained_model_name = "Helsinki-NLP/opus-mt-en-ml"
+model_cls = AutoModelForSeq2SeqLM
+hf_arch, hf_config, hf_tokenizer, hf_model = BLURR.get_hf_objects(pretrained_model_name, model_cls=model_cls)
+
+model = load_learner(
+    hf_hub_download("kurianbenoy/kde_en_ml_translation_model", "saved_model.pkl")
+)
+
+def translate_text(text):
+    outputs = model.blurr_translate(text)
+    return outputs[0]["translation_texts"]
+    
+
+iface = gr.Interface(
+    fn=translate_text,
+    inputs=gr.inputs.Textbox(lines=2, label="Enter Text in English", placeholder="Type text in English Here..."),
+    outputs="text",
+    theme="huggingface",
+)
+
+iface.launch()