Update app.py

app.py

@@ -1,20 +1,43 @@
+%%writefile app.py
 from langchain.chains import LLMChain
 from langchain.llms import HuggingFaceHub
 from langchain.prompts import PromptTemplate
 import streamlit as st
+import json
 
-topic = st.text_input("Enter Topic for the bog")
-hub_llm = HuggingFaceHub(repo_id ="HuggingFaceH4/zephyr-7b-beta")
-prompt = PromptTemplate(
-    input_variables = ['keyword'],
-    template = """
-    Write a comprehensive article about {keyword} covering the following aspects:
-    Introduction, History and Background, Key Concepts and Terminology, Use Cases and Applications, Benefits and Drawbacks, Future Outlook, Conclusion
-    Ensure that the article is well-structured, informative, and at least 1500 words long. Use SEO best practices for content optimization.
-    """)
+# Load existing ideas from a file
+def load_ideas():
+    try:
+        with open("ideas.json", "r") as file:
+            ideas = json.load(file)
+    except FileNotFoundError:
+        ideas = []
+    return ideas
+
+# Save ideas to a file
+def save_ideas(ideas):
+    with open("ideas.json", "w") as file:
+        json.dump(ideas, file)
 
+
+topic = st.text_input("Enter Topic for the bog")
 button_clicked = st.button("Create blog!")
+
+existing_ideas = load_ideas()
+st.sidebar.header("Previous Ideas:")
+selected_idea = st.sidebar.selectbox("Select Idea", existing_ideas, key="selectbox")
+st.markdown(selected_idea)
+
 if button_clicked:
+
+  hub_llm = HuggingFaceHub(repo_id ="HuggingFaceH4/zephyr-7b-beta")
+  prompt = PromptTemplate(
+      input_variables = ['keyword'],
+      template = """
+      Write a comprehensive article about {keyword} covering the following aspects:
+      Introduction, History and Background, Key Concepts and Terminology, Use Cases and Applications, Benefits and Drawbacks, Future Outlook, Conclusion
+      Ensure that the article is well-structured, informative, and at least 1500 words long. Use SEO best practices for content optimization.
+      """)
   hub_chain = LLMChain(prompt=prompt,llm = hub_llm,verbose=True)
 
   content = hub_chain.run(topic)
@@ -27,7 +50,7 @@ if button_clicked:
           "Use Cases and Applications:",
           "Benefits and Drawbacks:",
           "Future Outlook:",
-          "Conclusion:"
+          "Conclusion:",
       ]
   organized_content = ""
 
@@ -35,5 +58,7 @@ if button_clicked:
       if subheading in content:
           content = content.replace(subheading,"## "+subheading+"\n")
 
-
-  st.markdown(content)
+  existing_ideas.append({keyword:content})
+  save_ideas(existing_ideas)
+  selected_idea = st.sidebar.selectbox("Select Idea", existing_ideas, key="selectbox")
+  st.markdown(selected_idea)