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Update app.py
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app.py
CHANGED
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@@ -2,15 +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 io
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import mimetypes
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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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@@ -18,11 +15,17 @@ safety_settings = [
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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)
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def role_to_streamlit(role):
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if role == "model":
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@@ -30,6 +33,7 @@ def role_to_streamlit(role):
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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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@@ -40,52 +44,16 @@ 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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elif part.file_data: # Check for file data
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try:
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# Infer MIME type if not provided
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mime_type = part.file_data.mime_type
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if not mime_type:
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mime_type = mimetypes.guess_type(part.file_data.file_name)[0]
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if mime_type and mime_type.startswith("image/"):
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image = Image.open(io.BytesIO(part.file_data.data))
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st.image(image)
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else:
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st.write(f"File: {part.file_data.file_name} (MIME type: {mime_type})")
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except Exception as e:
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st.error(f"Error displaying file: {e}")
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# Accept user's next message and file uploads
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if prompt := st.chat_input("Hey?"):
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"mime_type": uploaded_file.type,
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"file_name": uploaded_file.name,
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"data": bytes_data
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}
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})
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# Display the uploaded image
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if uploaded_file.type.startswith("image/"):
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image = Image.open(uploaded_file)
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with st.chat_message("user"):
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st.image(image, caption=f"Uploaded Image: {uploaded_file.name}")
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# Display user's message
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with st.chat_message("user"):
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st.markdown(prompt)
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# Send message to Gemini
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response = st.session_state.chat.send_message(parts)
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# Display Gemini's response
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with st.chat_message("assistant"):
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st.markdown(response.text)
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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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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 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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