Create app.py

app.py

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+import streamlit as st
+from llama_cpp import Llama
+
+# Initialize the Llama model
+llm = Llama.from_pretrained(
+    repo_id="RichardErkhov/mrm8488_-_gpt2-finetuned-recipes-cooking-gguf",
+    filename="gpt2-finetuned-recipes-cooking.IQ3_M.gguf",
+)
+
+def generate_recipe(dish_name):
+    # Create a prompt with the user's favorite dish
+    messages = [
+        {
+            "role": "user",
+            "content": f"Provide a step-by-step recipe for {dish_name}."
+        }
+    ]
+    # Get the recipe from the model
+    response = llm.create_chat_completion(messages=messages)
+    return response['choices'][0]['message']['content']
+
+# Streamlit app
+st.title("Cooking Recipe Generator")
+
+# Input for favorite dish
+dish_name = st.text_input("Enter your favorite dish")
+
+# Button to generate the recipe
+if st.button("Generate Recipe"):
+    if dish_name:
+        with st.spinner("Generating recipe..."):
+            recipe = generate_recipe(dish_name)
+        st.subheader("Recipe:")
+        st.write(recipe)
+    else:
+        st.error("Please enter a dish name.")