Initial commit

app.py

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+import streamlit as st
+import os
+from langchain.schema import HumanMessage, AIMessage, SystemMessage
+from langchain_openai import ChatOpenAI
+from dotenv import load_dotenv
+load_dotenv()
+
+
+
+## Streamlit UI
+st.set_page_config(page_title='Conversational Q&A Chatbot', page_icon=':robot_face:', layout='wide')
+st.markdown("<h1 style='text-align: center; color: #ed4613;'>Conversational Q&A Chatbot</h1>", unsafe_allow_html=True)
+st.markdown("<h4 style='text-align: center; color: #4CAF50;'>Hey, Let's Chat!</h4>", unsafe_allow_html=True)
+
+chat_model = ChatOpenAI(openai_api_key=os.getenv("OPENAI_API_KEY_NEW"), model='gpt-3.5-turbo', temperature=0.7)
+
+if 'chat_history' not in st.session_state:
+    st.session_state['chat_history'] = [
+        SystemMessage(content="You are an intelligent chatbot. Please answer the following questions.")
+    ]
+
+def get_chatmodel_response(question):
+    st.session_state['chat_history'].append(HumanMessage(content=question))
+    response = chat_model(st.session_state['chat_history'])
+    st.session_state['chat_history'].append(AIMessage(content=response.content))
+    return response.content
+
+input_container = st.container()
+response_container = st.container()
+
+with input_container:
+    with st.form(key='input_form', clear_on_submit=True):
+        user_input = st.text_input("Input:", key="Input", placeholder="Ask me anything...", label_visibility='collapsed')
+        submit = st.form_submit_button('Ask the question..')
+
+    # JavaScript to trigger form submission on Enter key press
+    st.markdown("""
+        <script>
+        document.addEventListener('DOMContentLoaded', function() {
+            const inputBox = document.querySelector('input[type="text"]');
+            inputBox.addEventListener('keydown', function(event) {
+                if (event.key === 'Enter') {
+                    event.preventDefault();
+                    document.querySelector('button[type="submit"]').click();
+                }
+            });
+        });
+        </script>
+        """, unsafe_allow_html=True)
+
+if submit:
+    if user_input.strip() == "":
+        st.warning("Please enter a question first.")
+    else:
+        with st.spinner('Thinking...'):
+            response = get_chatmodel_response(user_input)
+        with response_container:
+            st.subheader('The response is:')
+            st.write(response)
+
+if 'chat_history' in st.session_state and st.session_state['chat_history']:
+    st.markdown("<h3 style='color: #4CAF50;'>Chat History</h3>", unsafe_allow_html=True)
+    for msg in st.session_state['chat_history']:
+        if isinstance(msg, HumanMessage):
+            st.markdown(f"<div style='text-align: right; color: #0000FF;'>{msg.content}</div>", unsafe_allow_html=True)
+        elif isinstance(msg, AIMessage):
+            st.markdown(f"<div style='text-align: left; color: #FF5733;'>{msg.content}</div>", unsafe_allow_html=True)

requirements.txt

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+openai
+langchain
+streamlit
+python-dotenv
+langchain-openai
+langchain-community
+langchain_core
+huggingface_hub