reset original

app.py

@@ -3,9 +3,6 @@ from langchain_community.llms import OpenAI
 from langchain_core.prompts import PromptTemplate
 import streamlit as st
 
-# Set the page to wide mode
-st.set_page_config(layout="wide")
-
 mini_template = "You are an expert researcher. You\'ve talked to hundreds of {target_audience}. \
 Each person in the niche of {target_audience} has certain struggles that make it easier to sell {target_course}. \
 These are called Pain Points. There's a recipe for getting to the core of the Pain Points of {target_audience}. \
@@ -18,7 +15,7 @@ The Questions (answer each QUESTION 3 tiems in listicle format according to the
 "
 
 
-st.title("Marketing Technology")
+st.title("Saas Application")
 
 prompt = PromptTemplate(
     input_variables = ["target_audience", "target_course"],
@@ -27,32 +24,20 @@ prompt = PromptTemplate(
 
 chain = LLMChain(llm=OpenAI(), prompt=prompt)
 
-#target_audience = 'professionals looking for course on Power BI'
-#target_course = 'Zero to Hero in PowerBI'
+#target_audience = "professionals looking for course on Power BI"
+#target_course = "Zero to Hero in PowerBI"
 
-target_audience = st.sidebar.text_input('Enter your target audience', value = 'professionals looking for course on Power BI')
-target_course = st.sidebar.text_input('Enter your course name', value = 'Zero to Hero in PowerBI')
+target_audience = st.text_input("Enter your target audience")
+target_course = st.text_input("Enter your course name")
 
-if st.sidebar.button("Get response"):
-    if target_audience and target_course:
+if st.button("Get resposne"):
+    if target_audience and my_course:
         with st.spinner("Generating response..."):
-
-            answer = chain.run({"target_audience": target_audience, "target_course": target_course})
-            
-            # Create a tab bar with 3 tabs
-            tab1, tab2, tab3 = st.tabs(["Customer Pain Points", "LinkedIn Profile", "Customer Persona"])
-
-            with tab1:
-                with st.expander("Show prompt", expanded=False):
+            with st.expander("Show prompt", expanded=False):
                     st.info(prompt.template)
-                st.write(answer)
-
-            with tab2:
-                st.write(answer)
-
-            with tab3:
-                st.write(answer)        
-
+            answer = chain.run({"target_audience": target_audience, "target_course":target_course})
+    
+        st.write(answer)
     elif target_audience:
         st.error("Enter your course name.")
     elif my_course:

app0.py → app2.py

@@ -3,6 +3,9 @@ from langchain_community.llms import OpenAI
 from langchain_core.prompts import PromptTemplate
 import streamlit as st
 
+# Set the page to wide mode
+st.set_page_config(layout="wide")
+
 mini_template = "You are an expert researcher. You\'ve talked to hundreds of {target_audience}. \
 Each person in the niche of {target_audience} has certain struggles that make it easier to sell {target_course}. \
 These are called Pain Points. There's a recipe for getting to the core of the Pain Points of {target_audience}. \
@@ -15,7 +18,7 @@ The Questions (answer each QUESTION 3 tiems in listicle format according to the
 "
 
 
-st.title("Saas Application")
+st.title("Marketing Technology")
 
 prompt = PromptTemplate(
     input_variables = ["target_audience", "target_course"],
@@ -24,20 +27,32 @@ prompt = PromptTemplate(
 
 chain = LLMChain(llm=OpenAI(), prompt=prompt)
 
-#target_audience = "professionals looking for course on Power BI"
-#target_course = "Zero to Hero in PowerBI"
+#target_audience = 'professionals looking for course on Power BI'
+#target_course = 'Zero to Hero in PowerBI'
 
-target_audience = st.text_input("Enter your target audience")
-target_course = st.text_input("Enter your course name")
+target_audience = st.sidebar.text_input('Enter your target audience', value = 'professionals looking for course on Power BI')
+target_course = st.sidebar.text_input('Enter your course name', value = 'Zero to Hero in PowerBI')
 
-if st.button("Get resposne"):
-    if target_audience and my_course:
+if st.sidebar.button("Get response"):
+    if target_audience and target_course:
         with st.spinner("Generating response..."):
-            with st.expander("Show prompt", expanded=False):
+
+            answer = chain.run({"target_audience": target_audience, "target_course": target_course})
+            
+            # Create a tab bar with 3 tabs
+            tab1, tab2, tab3 = st.tabs(["Customer Pain Points", "LinkedIn Profile", "Customer Persona"])
+
+            with tab1:
+                with st.expander("Show prompt", expanded=False):
                     st.info(prompt.template)
-            answer = chain.run({"target_audience": target_audience, "target_course":target_course})
-    
-        st.write(answer)
+                st.write(answer)
+
+            with tab2:
+                st.write(answer)
+
+            with tab3:
+                st.write(answer)        
+
     elif target_audience:
         st.error("Enter your course name.")
     elif my_course: