Update app.py
Browse files
app.py
CHANGED
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import streamlit as st
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from google import genai
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from PIL import Image
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@@ -9,6 +11,7 @@ import tempfile
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import shutil
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# Authenticate using the application default credentials
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gen = api_key=os.environ['GOOGLE_API_KEY']
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# Initialize the Gemini client
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client = genai.Client(api_key=gen)
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@@ -28,37 +31,34 @@ def ensure_latex_packages():
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st.error("pdflatex n'est pas trouvé. Veuillez installer TeX Live ou MiKTeX.")
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return False
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def generate_latex_response(
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"""Génère une réponse en format LaTeX depuis le modèle Gemini."""
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try:
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response = client.models.generate_content(
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model="gemini-2.0-flash-thinking-exp",
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contents=[
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)
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# Extrait les pensées et la réponse
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thoughts = response.candidates[0].content.parts[0].text
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answer = response.candidates[0].content.parts[1].text
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# Préparation du template LaTeX
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latex_template = r"""\documentclass{article}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{amsmath}
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\usepackage{amsfonts}
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\usepackage{amssymb}
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\begin{document}
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%s
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\end{document}
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""" % answer
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except Exception as e:
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def latex_to_pdf(latex_content):
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"""Convertit le contenu LaTeX en PDF."""
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with tempfile.TemporaryDirectory() as temp_dir:
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# Chemin du fichier tex
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tex_file = os.path.join(temp_dir, "output.tex")
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f.write(latex_content)
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try:
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#
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# Vérifie si le PDF existe
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pdf_path = os.path.join(temp_dir, "output.pdf")
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if os.path.exists(pdf_path):
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with open(pdf_path, "rb") as f:
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return f.read()
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else:
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st.error("Le fichier PDF n'a pas été généré")
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st.code(process.stdout)
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return None
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except subprocess.CalledProcessError as e:
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st.error(f"Erreur lors de la
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st.code(e.
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return None
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# Application Streamlit
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with tempfile.NamedTemporaryFile(delete=False, suffix='.png') as tmp_file:
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tmp_file.write(uploaded_file.getvalue())
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temp_image_path = tmp_file.name
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# Affiche l'image téléchargée
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image = Image.open(temp_image_path)
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st.image(image, caption="Image téléchargée", use_container_width=True)
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if st.button("Générer la réponse"):
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if question:
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with st.spinner("Génération de la réponse en cours..."):
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# Génère la réponse LaTeX
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latex_response = generate_latex_response(temp_image_path, question)
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# Affiche la réponse LaTeX
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st.markdown("### Code LaTeX généré:")
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st.text(latex_response)
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mime="application/pdf"
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)
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else:
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st.warning("Veuillez entrer une question.")
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# Nettoie le fichier temporaire
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os.unlink(temp_image_path)
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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 PIL import Image
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import shutil
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# Authenticate using the application default credentials
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#credentials, project = google.auth.default()
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gen = api_key=os.environ['GOOGLE_API_KEY']
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# Initialize the Gemini client
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client = genai.Client(api_key=gen)
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st.error("pdflatex n'est pas trouvé. Veuillez installer TeX Live ou MiKTeX.")
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return False
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def generate_latex_response(image_path, question):
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"""Génère une réponse en format LaTeX depuis le modèle Gemini."""
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try:
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with open(image_path, 'rb') as img_file:
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image_data = img_file.read()
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response = client.models.generate_content(
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model="gemini-2.0-flash-thinking-exp",
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contents=[image_data, question]
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)
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# Extrait la réponse et retire les délimiteurs LaTeX
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answer = response.text
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# Retire les délimiteurs ```latex au début et ``` à la fin
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if answer.startswith("```latex"):
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answer = answer[8:] # Retire ```latex
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if answer.endswith("```"):
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answer = answer[:-3] # Retire ```
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return answer.strip() # Retire les espaces supplémentaires
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except Exception as e:
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st.error(f"Erreur lors de la génération de la réponse: {str(e)}")
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return None
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def latex_to_pdf(latex_content):
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"""Convertit le contenu LaTeX en PDF."""
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# Crée un dossier temporaire pour les fichiers LaTeX
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with tempfile.TemporaryDirectory() as temp_dir:
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# Chemin du fichier tex
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tex_file = os.path.join(temp_dir, "output.tex")
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f.write(latex_content)
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try:
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# Exécute pdflatex deux fois pour assurer la bonne génération des références
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for _ in range(2):
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subprocess.run(
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["pdflatex", "-interaction=nonstopmode", "output.tex"],
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cwd=temp_dir,
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capture_output=True,
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check=True
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)
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# Lit le fichier PDF généré
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pdf_file = os.path.join(temp_dir, "output.pdf")
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with open(pdf_file, "rb") as f:
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pdf_data = f.read()
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return pdf_data
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except subprocess.CalledProcessError as e:
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st.error(f"Erreur lors de la génération du PDF: {e}")
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st.code(e.output.decode())
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return None
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# Application Streamlit
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with tempfile.NamedTemporaryFile(delete=False, suffix='.png') as tmp_file:
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tmp_file.write(uploaded_file.getvalue())
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temp_image_path = tmp_file.name
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# Affiche l'image téléchargée
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image = Image.open(temp_image_path)
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st.image(image, caption="Image téléchargée", use_container_width=True)
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if st.button("Générer la réponse"):
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if question:
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with st.spinner("Génération de la réponse en cours..."):
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# Convertit l'image PIL en bytes pour l'API Gemini
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# Génère la réponse LaTeX
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latex_response = generate_latex_response(temp_image_path, question)
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# Affiche la réponse LaTeX
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st.markdown("### Code LaTeX généré:")
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st.text(latex_response)
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# Convertit en PDF
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with st.spinner("Conversion en PDF..."):
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pdf_data = latex_to_pdf(latex_response)
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if pdf_data:
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# Crée un bouton de téléchargement
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st.download_button(
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label="Télécharger le PDF",
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data=pdf_data,
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file_name="reponse_gemini.pdf",
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mime="application/pdf"
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)
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else:
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st.warning("Veuillez entrer une question.")
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if __name__ == "__main__":
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main()
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