Initial

app.py

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+# Import the necessary packages
+import os
+import streamlit as st
+from langchain.llms import OpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain, SequentialChain
+from langchain.memory import ConversationBufferMemory
+
+
+# ------------------------ streamlit app ------------------------
+# APP Framework
+st.title("🦜🔗 YouTube GPT Creator")
+prompt = st.text_input("Plug in your prompt here")
+
+
+# Prompt Templates
+title_template = PromptTemplate(
+    input_variables=["topic"],
+    template="write me a YouTube video title about {topic}",
+)
+
+script_template = PromptTemplate(
+    input_variables=["title"],
+    template="write me a YouTube video script based on this {title}",
+)
+# Memory
+memory = ConversationBufferMemory(input_key="topic", memory_key="chat_history")
+
+# LLMS
+llm = OpenAI(temperature=0.0)
+title_chain = LLMChain(
+    llm=llm, prompt=title_template, output_key="title", memory=memory, verbose=True
+)
+script_chain = LLMChain(
+    llm=llm, prompt=script_template, output_key="script", memory=memory, verbose=True
+)
+sequential_chain = SequentialChain(
+    chains=[title_chain, script_chain],
+    input_variables=["topic"],
+    output_variables=["title", "script"],
+    verbose=True,
+)
+
+# Screen Output
+if prompt:
+    response = sequential_chain({"topic": prompt})
+    st.write(response["title"])
+    st.write(response["script"])
+
+    with st.expander(" Chat History"):
+        st.info(memory.buffer)