Update app.py

app.py

@@ -0,0 +1,92 @@
+import streamlit as st
+from groq import Groq
+from PIL import Image
+import base64
+import io
+import os
+
+# Page Config
+st.set_page_config(
+    page_title="AI Cooking Assistant",
+    page_icon="🍳",
+    layout="centered"
+)
+
+# Title
+st.title("🍳 AI Cooking Assistant")
+st.write("Upload ingredients image and get recipe suggestions")
+
+# Load API Key
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+if not GROQ_API_KEY:
+    st.error("❌ Please add GROQ_API_KEY in Hugging Face Secrets")
+    st.stop()
+
+# Initialize Groq Client
+client = Groq(api_key=GROQ_API_KEY)
+
+
+# Convert Image to Base64
+def image_to_base64(image):
+    buffer = io.BytesIO()
+    image.save(buffer, format="PNG")
+    return base64.b64encode(buffer.getvalue()).decode()
+
+
+# File Uploader
+uploaded_file = st.file_uploader(
+    "Upload Image of Ingredients",
+    type=["jpg", "jpeg", "png"]
+)
+
+
+if uploaded_file:
+
+    # Show Image
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_container_width=True)
+
+    if st.button("🍽️ Generate Recipe"):
+
+        with st.spinner("Analyzing ingredients..."):
+
+            # Convert image
+            img_base64 = image_to_base64(image)
+
+            # Prompt
+            prompt = """
+            You are a professional chef AI.
+            Look at the image and identify ingredients.
+            Then suggest:
+            1. Dish name
+            2. Ingredients list
+            3. Step-by-step recipe
+            4. Cooking tips
+            """
+
+            # Call LLaMA Vision Model
+            response = client.chat.completions.create(
+                model="llama-3.2-11b-vision-preview",
+                messages=[
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": prompt},
+                            {
+                                "type": "image_url",
+                                "image_url": {
+                                    "url": f"data:image/png;base64,{img_base64}"
+                                }
+                            }
+                        ]
+                    }
+                ],
+                max_tokens=800
+            )
+
+            result = response.choices[0].message.content
+
+            # Display Output
+            st.subheader("🍲 Suggested Recipe")
+            st.write(result)