Create app.py

app.py

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+import streamlit as st
+import os
+from streamlit_chat import message
+import google.generativeai as genai
+from langchain.prompts import PromptTemplate
+from langchain import LLMChain
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
+
+llm = ChatGoogleGenerativeAI(model="gemini-pro",
+                             temperature=0.7)
+
+
+template = """You are a chatbot called "CRETA" having a conversation with a human and you are created by suriya an AI Enthusiastic.
+previous_chat:
+{chat_history}
+Human: {human_input}
+Chatbot:"""
+
+prompt = PromptTemplate(
+    input_variables=["chat_history", "human_input"], template=template
+)
+
+llm_chain = LLMChain(
+    llm=llm,
+    prompt=prompt,
+    verbose=True,
+)
+
+
+previous_response = ""
+def conversational_chat(query):
+    global previous_response
+    for i in st.session_state['history']:
+        if i is not None:
+            previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}"
+    print(previous_response)
+    result = llm_chain.predict(chat_history=previous_response, human_input=query)
+    st.session_state['history'].append((query, result))
+    return result
+
+st.title("ASSISTANT BOT:")
+
+if 'history' not in st.session_state:
+    st.session_state['history'] = []
+    
+# Initialize messages
+if 'generated' not in st.session_state:
+    st.session_state['generated'] = ["Hello ! Ask me anything"]
+
+if 'past' not in st.session_state:
+    st.session_state['past'] = [" "]
+    
+# Create containers for chat history and user input
+response_container = st.container()
+container = st.container()
+
+# User input form
+user_input = st.chat_input("Ask Your Questions 👉..")
+with container:
+    if user_input:
+        output = conversational_chat(user_input)
+        # answer = response_generator(output)
+        st.session_state['past'].append(user_input)
+        st.session_state['generated'].append(output)
+
+# Display chat history
+if st.session_state['generated']:
+    with response_container:
+        for i in range(len(st.session_state['generated'])):
+            if i != 0:
+                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="adventurer")
+            message(st.session_state["generated"][i], key=str(i), avatar_style="bottts")