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Update app.py
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app.py
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@@ -1,13 +1,17 @@
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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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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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-
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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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@@ -15,25 +19,17 @@ safety_settings = [
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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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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@@ -41,19 +37,111 @@ if "chat" not in st.session_state:
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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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import streamlit as st
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import google.generativeai as genai
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import os
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import tempfile
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import PIL.Image
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import time
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import ssl
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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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model = genai.GenerativeModel('gemini-1.5-flash-002', 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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# File uploader
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uploaded_files = st.file_uploader("Choose a file", accept_multiple_files=True)
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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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def upload_and_process_file(file_path):
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"""Upload et traite un fichier avec l'API Gemini avec gestion des erreurs améliorée"""
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max_retries = 3
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retry_delay = 2 # secondes
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for attempt in range(max_retries):
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try:
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print(f"Tentative d'upload {attempt + 1}/{max_retries} pour {file_path}")
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# Vérification du fichier
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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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# Upload du fichier
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uploaded_file = genai.upload_file(path=file_path)
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print(f"Upload réussi: {uploaded_file.uri}")
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# Attente du traitement
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timeout = 300 # 5 minutes
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start_time = time.time()
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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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print(
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f"En attente du traitement... Temps écoulé: {int(time.time() - start_time)}s")
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time.sleep(10)
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uploaded_file = genai.get_file(uploaded_file.name)
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if uploaded_file.state.name == "FAILED":
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raise ValueError(
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f"Échec du traitement: {uploaded_file.state.name}")
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print(f"Traitement terminé avec succès: {uploaded_file.uri}")
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return uploaded_file
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except ssl.SSLError as e:
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print(
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f"Erreur SSL lors de l'upload (tentative {attempt + 1}): {e}")
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if attempt < max_retries - 1:
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time.sleep(retry_delay * (attempt + 1))
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else:
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raise
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except Exception as e:
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print(
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f"Erreur lors de l'upload (tentative {attempt + 1}): {e}")
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if attempt < max_retries - 1:
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time.sleep(retry_delay * (attempt + 1))
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else:
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raise
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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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content = [prompt]
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temp_files = []
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try:
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# Process uploaded files
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for uploaded_file in uploaded_files:
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with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as temp_file:
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temp_file.write(uploaded_file.getvalue())
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temp_files.append(temp_file.name)
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if uploaded_file.name.lower().endswith(('.png', '.jpg', '.jpeg', '.gif')):
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content.append(PIL.Image.open(temp_file.name))
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else:
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processed_file = upload_and_process_file(temp_file.name)
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content.append(processed_file)
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# Send user entry to Gemini and read the response
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response = model.generate_content(content)
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# Add the response to the chat history
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st.session_state.chat.history.extend([
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genai.types.Part(text=prompt, role="user"),
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genai.types.Part(text=response.text, role="model"),
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])
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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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except Exception as e:
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st.error(f"An error occurred: {e}")
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finally:
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# Cleanup temporary files
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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(
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f"Error deleting temporary file {temp_file}: {e}")
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