Update app.py

app.py

@@ -1,25 +1,22 @@
+
+
 import gradio as gr
+
 from transformers import pipeline
 
-# Load your model or pipeline
-recipe_generator = pipeline("text-generation", model="toit")
-
-def generate_recipe(ingredients):
-    prompt = f"Ingredients: {ingredients}\nRecipe:"
-    recipe = recipe_generator(prompt, max_length=200)[0]['generated_text']
-    # Dummy values for calories and sugars
-    calories = "200 kcal"
-    sugars = "10g"
-    return recipe, calories, sugars
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=generate_recipe,
-    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter ingredients here..."),
-    outputs=["text", "text", "text"],
-    title="Recipe Generator",
-    description="Enter ingredients to get a recipe suggestion along with calories and sugars."
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
+
+def predict(text):
+  return pipe(text)[0]["translation_text"]
+
+demo = gr.Interface(
+  fn=predict,
+  inputs='text',
+  outputs='text',
 )
 
+demo.launch()
+
+
 # Launch the interface
-iface.launch()
+#iface.launch()