Create app.py

app.py

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+import google.generativeai as genai
+import streamlit as st
+import os 
+from dotenv import load_dotenv
+
+
+
+load_dotenv()  # Load environment variables from .env file
+
+api_key = os.getenv("gemini_api")
+
+
+#api_key = st.secrets["gemini_api"]  # Ensure this is set in your Streamlit secrets
+genai.configure(api_key=api_key)
+# Initialize the Generative Model
+model = genai.GenerativeModel(model_name="gemini-1.5-flash")
+
+# Function to get the response from the model
+def get_response(prompt):
+    context_before = "Give me a short summary of the book"
+    context_after = """You should consider reading it if: (3 to 4 reasons/person interests),
+                       you should skip it if: (3 to 4 reasons/person interests)"""
+    prompt = f"{context_before} {prompt}. {context_after}"
+    response = model.generate_content([prompt])
+    return response.text
+
+# Streamlit App
+st.set_page_config(page_title="Book Summary Chatbot", page_icon="📚", layout="wide")
+
+# Custom CSS for chat layout
+st.markdown("""
+    <style>
+    .chat-container {
+        background-color: #F9F9F9;
+        padding: 20px;
+        border-radius: 10px;
+        box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
+        margin: 20px auto;
+        max-width: 700px;
+    }
+    .chat-message {
+        padding: 10px;
+        margin: 5px 0;
+        border-radius: 5px;
+    }
+    .user-message {
+        background-color: #DCF8C6;
+        text-align: right;
+    }
+    .assistant-message {
+        background-color: #E4E6EB;
+        text-align: left;
+    }
+    .centered-header {
+        text-align: center;
+        color: #4A90A2;
+        margin-bottom: 20px;
+    }
+    </style>
+    """, unsafe_allow_html=True)
+
+# Page Header
+st.markdown("<h1 class='centered-header'>Book Summary Chatbot</h1>", unsafe_allow_html=True)
+st.write("Note: This chatbot will take the name of a book and provide a summary along with advice on whether you should read it or not.")
+
+# Initialize session state for messages
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Chat Container
+with st.container():
+    chat_container = st.container()
+
+    # Display existing chat messages in a styled box
+    with chat_container:
+        for message in st.session_state.messages:
+            if message["role"] == "user":
+                st.markdown(f"<div class='chat-message user-message'>{message['content']}</div>", unsafe_allow_html=True)
+            else:
+                st.markdown(f"<div class='chat-message assistant-message'>{message['content']}</div>", unsafe_allow_html=True)
+
+# Handle new input - always at the bottom
+prompt = st.chat_input("Please enter the name of a book")
+if prompt:
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    
+    with st.chat_message("user"):
+        st.markdown(f"<div class='chat-message user-message'>{prompt}</div>", unsafe_allow_html=True)
+
+    response = get_response(prompt)
+    #st.write(list(response))
+    if response.startswith("##"):
+        response = response.replace("##", "", 2)
+        for i in range(1):
+          response = response.replace(" ", "", 1)
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+    with st.chat_message("assistant"):
+
+        st.markdown(f"<div class='chat-message assistant-message'>{response}</div>", unsafe_allow_html=True)