Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_path = "./trained_model"  # Current directory where model files are located
+model = AutoModelForCausalLM.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+# Define the function to generate a recipe
+def generate_recipe(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(
+        **inputs, 
+        max_length=200, 
+        temperature=0.8, 
+        top_k=50, 
+        top_p=0.95, 
+        num_return_sequences=1
+    )
+    recipe = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return recipe
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_recipe,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a recipe prompt (e.g., 'Chocolate cake recipe')", label="Recipe Prompt"),
+    outputs=gr.Textbox(label="Generated Recipe"),
+    title="Recipe Generator",
+    description="Enter a recipe idea or prompt, and let the AI generate a creative recipe for you!"
+)
+
+# Launch the app
+interface.launch()