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import streamlit as st
import os
from google import genai
from PIL import Image
import io
import base64
# Page config
st.set_page_config(page_title="Exercise Solver", layout="wide")
# Initialize Gemini client
GOOGLE_API_KEY = os.environ.get("GEMINI_API_KEY")
client = genai.Client(
api_key=GOOGLE_API_KEY,
http_options={'api_version': 'v1alpha'},
)
def process_image(image):
# Convert image to base64
buffered = io.BytesIO()
image.save(buffered, format="PNG")
img_str = base64.b64encode(buffered.getvalue()).decode()
# Initialize containers for thoughts and answers
thoughts = []
answers = []
try:
response = client.models.generate_content_stream(
model="gemini-2.0-flash-thinking-exp-01-21",
config={'thinking_config': {'include_thoughts': True}},
contents=[
{'inline_data': {'mime_type': 'image/png', 'data': img_str}},
"Resous cette exercice. ça doit être bien présentable et espacé afin d'être facile à lire."
]
)
for chunk in response:
for part in chunk.candidates[0].content.parts:
if part.thought:
thoughts.append(part.text)
else:
answers.append(part.text)
return thoughts, answers
except Exception as e:
st.error(f"Une erreur s'est produite: {str(e)}")
return [], []
def main():
st.title("Résolution d'Exercices")
# File uploader
uploaded_file = st.file_uploader("Choisissez une image", type=['png', 'jpg', 'jpeg'])
if uploaded_file is not None:
# Display the uploaded image
image = Image.open(uploaded_file)
st.image(image, caption="Image téléchargée", use_column_width=True)
# Process button
if st.button("Résoudre l'exercice"):
with st.spinner("Traitement en cours..."):
thoughts, answers = process_image(image)
# Display thoughts in expander
with st.expander("Voir le raisonnement"):
for i, thought in enumerate(thoughts, 1):
st.markdown(f"**Étape {i}:** {thought}")
# Display answer
st.markdown("### Solution:")
for answer in answers:
st.markdown(answer)
if __name__ == "__main__":
main() |