Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+from huggingface_hub import login
+
+
+# Load the translation model and tokenizer from Hugging Face
+model_name = "robzchhangte/enmz-helsinki-case"
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Translation function with max_length=512
+def translate(text):
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    outputs = model.generate(inputs["input_ids"], max_length=512)  # Set max_length to 512
+    translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return translated_text
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=translate,
+    inputs="text",
+    outputs="text",
+    title="Text Translator",
+    description="Translate text using the gravix321/model1 translation model.",
+    examples=[["Hello, how are you?"], ["What time is it?"]]
+)
+
+# Launch the Gradio app locally
+interface.launch(share=False)  # Set sharer=True to share your app