Create app.py

app.py

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+import streamlit as st
+import google.generativeai as genai
+import numpy as np
+import PIL.Image
+
+# Configure the Generative AI API
+genai.configure(api_key="AIzaSyAs726sBS7iWEO7ql2LFbvCxJ_bzbpDbiI")
+
+# Define the function that handles the model's response
+def ImageChat(image, prompt):
+    # Load model
+    model = genai.GenerativeModel("gemini-1.5-flash")
+
+    # Check if the image is a numpy array and convert to PIL format if necessary
+    if isinstance(image, np.ndarray):
+        img = PIL.Image.fromarray(image)
+    else:
+        img = PIL.Image.open(image)
+
+    # Generate a response from the model
+    response = model.generate_content([prompt, img])
+
+    return response.text
+
+# Set up the Streamlit interface
+st.title("Image Chat")
+st.write("Upload an image and enter a prompt to get a response.")
+
+# File uploader for image input
+uploaded_image = st.file_uploader("Upload an Image", type=["jpg", "jpeg", "png"])
+
+# Text input for prompt
+prompt = st.text_input("Enter your prompt:")
+
+# When both an image and a prompt are provided, generate a response
+if uploaded_image and prompt:
+    # Convert the uploaded image to a numpy array
+    image = np.array(PIL.Image.open(uploaded_image))
+
+    # Generate and display the response
+    response = ImageChat(image, prompt)
+    st.write("Response:", response)