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import streamlit as st | |
import tempfile | |
from PIL import Image | |
import google.generativeai as genai | |
import os | |
MODEL_ID = "gemini-2.0-flash-exp" | |
api_key = os.getenv("GEMINI_API_KEY") | |
model_id = MODEL_ID | |
genai.configure(api_key=api_key) | |
if "model" not in st.session_state: | |
st.session_state.model = genai.GenerativeModel(MODEL_ID) | |
model = st.session_state.model | |
chat = model.start_chat() | |
mime_type = "image/jpeg" # Use a consistent MIME type for images | |
def main(): | |
st.title("Image Processing with AI") | |
img_file_buffer = None | |
image_path = "" | |
# Use the camera to capture an image | |
img_file_buffer = st.camera_input("Take a picture") | |
if img_file_buffer is not None: | |
# Save the image to a temporary file | |
with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_file: | |
temp_file.write(img_file_buffer.read()) | |
image_path = temp_file.name | |
st.write("Image saved to:", image_path) | |
#st.image(Image.open(image_path), caption="Captured Image", use_container_width=True) | |
user_input = st.text_area("Enter your prompt:", height=200) | |
prompt =f"Refer to the image. Perform the task or answer the question {user_input}" | |
if st.button("Process the image"): | |
if prompt: | |
with st.spinner("Processing..."): | |
# Upload the file with the correct MIME type | |
file_data = genai.upload_file(image_path, mime_type=mime_type) | |
# Send file and prompt to Gemini API | |
response = chat.send_message( | |
[ | |
prompt, | |
file_data | |
] | |
) | |
# Display Gemini response | |
st.markdown(response.text) | |
else: | |
st.warning("Please provide a valid prompt.") | |
if __name__ == "__main__": | |
main() | |