Update app.py
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app.py
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import streamlit as st
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import os
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from google import genai
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from PIL import Image
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import io
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import base64
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# Page config
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st.set_page_config(page_title="
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#
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client = genai.Client(
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api_key=GOOGLE_API_KEY,
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http_options={'api_version': 'v1alpha'},
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)
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thoughts = []
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answers = []
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response = client.models.generate_content_stream(
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model=
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config={'thinking_config': {'include_thoughts': True}},
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contents=
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{'inline_data': {'mime_type': 'image/png', 'data': img_str}},
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"Resous cette exercice. ça doit être bien présentable et espacé afin d'être facile à lire."
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]
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)
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for chunk in response:
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for part in chunk.candidates[0].content.parts:
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if part.thought:
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else:
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def main():
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st.title("Résolution d'Exercices")
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# File uploader
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uploaded_file = st.file_uploader("Choisissez une image", type=['png', 'jpg', 'jpeg'])
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if uploaded_file is not None:
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# Display the uploaded image
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image = Image.open(uploaded_file)
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st.image(image, caption="Image téléchargée", use_column_width=True)
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# Process button
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if st.button("Résoudre l'exercice"):
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with st.spinner("Traitement en cours..."):
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thoughts, answers = process_image(image)
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# Display thoughts in expander
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with st.expander("Voir le raisonnement"):
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for i, thought in enumerate(thoughts, 1):
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st.markdown(f"**Étape {i}:** {thought}")
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# Display answer
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st.markdown("### Solution:")
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for answer in answers:
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st.markdown(answer)
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if __name__ == "__main__":
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main()
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import streamlit as st
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from google import genai
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from google.genai import types
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import json
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from PIL import Image
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# Page config
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st.set_page_config(page_title="Gemini API Physics Questions", layout="wide")
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# Title
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st.title("AP Physics C Practice Question Generator")
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# Initialize the API key input
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api_key = st.text_input("Enter your Google API Key", type="password")
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if api_key:
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# Initialize the client
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client = genai.Client(
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api_key=api_key,
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http_options={'api_version': 'v1alpha'},
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)
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model_name = "gemini-2.0-flash-thinking-exp-01-21"
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if st.button("Generate New Question"):
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# Create containers for thinking and answer
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thinking_container = st.container()
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answer_container = st.container()
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# Generate content
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response = client.models.generate_content_stream(
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model=model_name,
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config={'thinking_config': {'include_thoughts': True}},
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contents="Give me a practice question I can use for the AP Physics C exam?"
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mode = 'starting'
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# Process the response
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for chunk in response:
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for part in chunk.candidates[0].content.parts:
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if part.thought:
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if mode != "thinking":
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with thinking_container:
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st.subheader("Thinking Process")
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mode = "thinking"
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with thinking_container:
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st.write(part.text)
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else:
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if mode != "answering":
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with answer_container:
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st.subheader("Generated Question")
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mode = "answering"
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with answer_container:
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st.write(part.text)
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else:
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st.warning("Please enter your Google API key to start generating questions.")
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