Create app.py

app.py

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+import streamlit as st
+import google.generativeai as genai
+
+# Configure Gemini API
+genai.configure(api_key='AIzaSyBIPYXqIvI1X6unKTbuWqcVfNFCePr8_sQ')
+model = genai.GenerativeModel('gemini-pro')
+
+def generate_response(user_message):
+    try:
+        # Use Gemini API to generate a response
+        response = model.generate_content(user_message)
+
+        # Check if the response has text
+        if response.text:
+            return response.text
+        else:
+            return "Error: The model generated an empty response."
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Initialize session state for conversation history
+if 'conversation' not in st.session_state:
+    st.session_state.conversation = []
+
+st.title("🦷🦷Gemini QA System🦷🦷")
+st.write("Ask a question and get an answer from Gemini AI.")
+
+# User input
+user_message = st.text_input("Enter your question here...")
+
+if st.button("Submit"):
+    if user_message:
+        response = generate_response(user_message)
+        st.session_state.conversation.append((user_message, response))
+
+# Display conversation history
+if st.session_state.conversation:
+    st.write("### Conversation History")
+    for i, (question, answer) in enumerate(st.session_state.conversation):
+        st.write(f"**Q{i+1}:** {question}")
+        st.write(f"**A{i+1}:** {answer}")
+
+# Examples in the sidebar
+st.sidebar.title("Examples")
+st.sidebar.write("Click on an example to use it:")
+examples = ["What is the capital of France?", "Explain quantum computing in simple terms."]
+for example in examples:
+    if st.sidebar.button(example):
+        response = generate_response(example)
+        st.session_state.conversation.append((example, response))