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Update app.py
Browse files
app.py
CHANGED
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@@ -2,18 +2,12 @@ import streamlit as st
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import google.generativeai as genai
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import os
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from dotenv import load_dotenv
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from PIL import Image
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import tempfile
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import time
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import ssl
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# Charger les variables d'environnement
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load_dotenv()
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# Configurer la clé API
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
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@@ -21,192 +15,45 @@ safety_settings = [
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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def role_to_streamlit(role):
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return "assistant" if role == "model" else role
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max_retries = 3
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retry_delay = 2
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if not os.path.exists(file_path):
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raise FileNotFoundError(f"Le fichier {file_path} n'existe pas")
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file_size = os.path.getsize(file_path)
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if file_size == 0:
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raise ValueError(f"Le fichier {file_path} est vide")
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uploaded_file = genai.upload_file(path=file_path)
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while uploaded_file.state.name == "PROCESSING":
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if time.time() - start_time > timeout:
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raise TimeoutError("Timeout pendant le traitement du fichier")
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time.sleep(10)
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uploaded_file = genai.get_file(uploaded_file.name)
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return uploaded_file
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else:
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raise
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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#
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#
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st.
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#
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st.session_state.chat = model.start_chat(history=[])
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#
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st.
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/* Conteneur principal pour fixer les éléments en haut et en bas */
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.main-container {
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display: flex;
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flex-direction: column;
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height: 95vh; /* Ajustez selon vos besoins */
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}
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/* Conteneur pour l'historique du chat */
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.chat-history {
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flex-grow: 1;
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overflow-y: auto;
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display: flex;
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flex-direction: column-reverse;
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}
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/* Conteneur pour la zone de saisie et l'upload */
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.input-area {
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display: flex;
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align-items: center;
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gap: 10px;
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margin-top: 10px; /* Espace entre l'historique et la zone de saisie */
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}
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/* Style pour la zone de saisie */
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.chat-input {
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flex-grow: 1; /* Permet à la zone de saisie de prendre l'espace disponible */
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}
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/* Style pour l'icône */
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.upload-icon {
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font-size: 1.5em;
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}
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</style>
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""", unsafe_allow_html=True)
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# Conteneur principal
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main_container = st.container()
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with main_container:
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# Conteneur pour l'historique du chat (maintenant inversé avec column-reverse)
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chat_history_container = st.container()
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with chat_history_container:
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# Afficher l'historique des messages
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for message in st.session_state.chat.history:
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with st.chat_message(role_to_streamlit(message.role)):
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st.markdown(message.parts[0].text)
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if len(message.parts) > 1:
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for part in message.parts[1:]:
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if hasattr(part, 'image'):
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st.image(part.image)
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# Conteneur pour la zone de saisie et l'upload (en bas)
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input_area = st.container()
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with input_area:
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# Colonnes pour l'icône et l'uploader
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ucol1, ucol2 = st.columns([1, 5])
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with ucol1:
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# Icône d'upload de fichiers
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st.markdown("<span class='upload-icon'>📁</span>", unsafe_allow_html=True)
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with ucol2:
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# Upload de fichiers (tous types)
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uploaded_file = st.file_uploader("", type=["txt", "mp4", "mp3", "pdf", "png", "jpg", "jpeg", "gif"],
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accept_multiple_files=True, key="files",
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label_visibility="collapsed")
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# Zone de saisie (placée après l'uploader pour qu'elle soit en bas)
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prompt = st.chat_input("Que puis-je faire pour vous ?", key="chat_input")
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# Appliquer les styles aux éléments (simplifié)
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st.markdown(f"""
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<style>
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div[data-testid='stChatInput'] {{
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flex-grow: 1;
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}}
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div[data-testid='stFileUploader'] {{
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display: inline-flex;
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padding-left: 0;
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padding-right: 0;
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padding-bottom: 0;
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padding-top: 0;
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margin-left: 0;
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margin-right: 0;
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}}
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div[data-testid='stFileUploader'] > div:nth-child(2) {{
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display: none;
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}}
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</style>
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""", unsafe_allow_html=True)
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if prompt:
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content = [prompt]
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temp_files = []
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try:
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# Traitement des fichiers uploadés
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if uploaded_file:
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for file in uploaded_file:
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if allowed_file(file.name):
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file_extension = os.path.splitext(file.name)[1].lower()
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if file_extension in ['.jpg', '.jpeg', '.png', '.gif']:
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# Si c'est une image, la traiter comme une image
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image = Image.open(file)
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content.append(image)
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st.chat_message("user").image(image)
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else:
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# Sinon, la traiter comme un fichier
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with tempfile.NamedTemporaryFile(delete=False, suffix=file_extension) as temp_file:
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temp_file.write(file.getvalue())
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temp_files.append(temp_file.name)
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uploaded_file = upload_and_process_file(temp_file.name)
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content.append(uploaded_file)
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# Afficher le message utilisateur
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st.chat_message("user").markdown(prompt)
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# Envoyer le message et afficher la réponse
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response = st.session_state.chat.send_message(content)
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with st.chat_message("assistant"):
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st.markdown(response.text)
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except Exception as e:
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st.error(f"Une erreur est survenue : {str(e)}")
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finally:
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# Nettoyage des fichiers temporaires
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for temp_file in temp_files:
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try:
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os.unlink(temp_file)
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except Exception as e:
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print(f"Erreur lors de la suppression du fichier temporaire {temp_file}: {e}")
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import google.generativeai as genai
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import os
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from dotenv import load_dotenv
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load_dotenv()
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# Configure the API key
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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model = genai.GenerativeModel('gemini-1.5-flash',safety_settings=safety_settings,
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system_instruction="Tu es un assistant intelligent. ton but est d'assister au mieux que tu peux. tu as été créé par Aenir et tu t'appelles Mariam")
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# Function to get response from the model
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# Gemini uses 'model' for assistant; Streamlit uses 'assistant'
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def role_to_streamlit(role):
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if role == "model":
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return "assistant"
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else:
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return role
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# Add a Gemini Chat history object to Streamlit session state
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if "chat" not in st.session_state:
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st.session_state.chat = model.start_chat(history=[])
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# Display Form Title
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st.title("Mariam AI!")
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# Display chat messages from history above current input box
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for message in st.session_state.chat.history:
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with st.chat_message(role_to_streamlit(message.role)):
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st.markdown(message.parts[0].text)
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# Accept user's next message, add to context, resubmit context to Gemini
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if prompt := st.chat_input("Hey?"):
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# Display user's last message
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st.chat_message("user").markdown(prompt)
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# Send user entry to Gemini and read the response
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response = st.session_state.chat.send_message(prompt)
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# Display last
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with st.chat_message("assistant"):
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st.markdown(response.text)
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