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.env

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+GOOGLE_API_KEY = "AIzaSyBC_sJWMRwEMXXzZjKUz6rmMLYpgOY6cAM"

app.py

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+from dotenv import load_dotenv
+
+load_dotenv()
+
+import streamlit as st
+import os
+import google.generativeai as genai
+
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+
+#loaad gemini et get responses
+
+model = genai.GenerativeModel("gemini-pro")
+
+
+chat = model.start_chat(history=[])
+
+def get_gemini_response(question):
+    response = chat.send_message(question,stream=True)
+    return response
+
+
+#streamlit APP
+
+st.set_page_config(page_title="Q&A DEMO")
+st.header("GEMINI LLM APPLICATION")
+
+#lancer une session de chat si il n y en a pas
+
+
+if 'chat_history' not in st.session_state:
+    st.session_state['chat_history'] = []
+
+input = st.text_input("Input: ",key="input")
+submit = st.button("Ask the question")
+
+if submit and input:
+    response = get_gemini_response(input)
+    #add user query reponse in chat history
+    st.session_state['chat_history'].append(("You ",input))
+    st.subheader("The response is ")
+    for chunk in response:
+        st.write(chunk.text)
+        st.session_state['chat_history'].append(("chatbot",chunk.text))
+st.subheader("the chat history is")
+
+for role, text in st.session_state['chat_history']:
+    st.write(f"{role}: {text}")