Create app.py

app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+# Configure the API key
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+
+# Initialize the Generative Model
+model = genai.GenerativeModel('gemini-1.5-flash')
+
+# Function to get response from the model
+# Gemini uses 'model' for assistant; Streamlit uses 'assistant'
+
+
+def role_to_streamlit(role):
+    if role == "model":
+        return "assistant"
+    else:
+        return role
+
+
+# Add a Gemini Chat history object to Streamlit session state
+if "chat" not in st.session_state:
+    st.session_state.chat = model.start_chat(history=[])
+
+# Display Form Title
+st.title("Chat with Google Gemini-1.5-flash!")
+
+# Display chat messages from history above current input box
+for message in st.session_state.chat.history:
+    with st.chat_message(role_to_streamlit(message.role)):
+        st.markdown(message.parts[0].text)
+
+# Accept user's next message, add to context, resubmit context to Gemini
+if prompt := st.chat_input("I possess a well of knowledge. What would you like to know?"):
+    # Display user's last message
+    st.chat_message("user").markdown(prompt)
+
+    # Send user entry to Gemini and read the response
+    response = st.session_state.chat.send_message(prompt)
+
+    # Display last
+    with st.chat_message("assistant"):
+        st.markdown(response.text)