Create app.py

app.py

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+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Load the model and tokenizer
+@st.cache_resource
+def load_model():
+    tokenizer = AutoTokenizer.from_pretrained("Izza-shahzad-13/recipe-generator")
+    model = AutoModelForSeq2SeqLM.from_pretrained("Izza-shahzad-13/recipe-generator")
+    return tokenizer, model
+
+tokenizer, model = load_model()
+
+# Streamlit App
+st.title("🍳 Recipe Generator App")
+st.markdown("Generate delicious recipes by entering the ingredients you have!")
+
+# Input ingredients
+ingredients = st.text_area(
+    "Enter ingredients (comma-separated):",
+    placeholder="e.g., chicken, onion, garlic, tomatoes",
+)
+
+# Generate recipe button
+if st.button("Generate Recipe"):
+    if ingredients:
+        with st.spinner("Generating your recipe... 🍲"):
+            # Prepare input for the model
+            inputs = tokenizer(f"Ingredients: {ingredients}", return_tensors="pt")
+
+            # Generate recipe
+            outputs = model.generate(inputs["input_ids"], max_length=150, num_beams=5, early_stopping=True)
+            recipe = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+            # Display the recipe
+            st.success("Here's your recipe:")
+            st.write(recipe)
+    else:
+        st.warning("Please enter some ingredients!")
+
+# Footer
+st.markdown("---")
+st.markdown("Built with ❤️ using Streamlit and Hugging Face 🤗")