Update app2.py

app2.py

@@ -4,51 +4,50 @@ import streamlit as st
 def main():
     st.title("Streamlit Options")
 
-    # Text
-    st.header("Text")
-    st.text("This is a text")
-    st.markdown("This is a markdown")
-
-    # Title
-    st.title("This is a title")
-
-    # Header
-    st.header("This is a header")
-
-    # Subheader
-    st.subheader("This is a subheader")
-
-    # Code
-    st.header("Code :") 
-    st.code("import streamlit as st")
-
-    # Display Data
-    st.header("Write stm :")
-    st.write("This is a write statement")
-
-    # Dataframe
-    st.header("Dataframe")
-    import pandas as pd
-    df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
-    st.write(df)
-
-    # JSON
-    st.header("JSON:")
-    json_data = {"name": "John", "age": 30, "city": "New York"}
-    st.write(json_data)
-
-    # Checkbox
-    st.header("Checkbox:")
-    checkbox = st.checkbox("Checkbox")
-    if checkbox:
-        st.write("Checkbox is checked")
-
-    # Radio
+     # Radio
     st.header("Radio:")
-    radio = st.radio("Radio", ["Option 1", "Option 2", "Option 3"])
+    radio = st.radio("Radio", ["Open AI", "Gemini ", "TBD"])
     st.write("Selected option:", radio)
-
-    # Selectbox
+    
+    If st.radio == "OpenAI"
+        {
+            rol = st.text_input("Enter Role")
+            st.write("Entered role:", rol)   
+            #st.header("Slider:")
+            temp = st.slider("temperature", min_value=0.0, max_value=1, value=0.7, step=0.1)
+            st.write("Selected value:", temp)
+
+            from langchain_community.llms import OpenAI
+            
+            def generate_linkedin_post(topic):
+                # Enhanced prompt with additional context for better post generation
+                prompt = (
+                    f"Create a professional, engaging LinkedIn post about {topic}. "
+                    "It should start with a attention grabbing hook based on audience pain"
+                    "Then a line to agitate the user. This should be in the next line"
+                    "The post should be concise, informative, and suitable for a professional audience. "
+                    "It should provide value, insights, or thought-provoking content related to the topic. "
+                    "And only contain 3 points."
+                    "The tone should be positive and encouraging, suitable for networking and professional growth." )
+                llm = OpenAI(temperature=temp,role= rol, openai_api_key=st.secrets["OPENAI_API_KEY"])
+                response = llm(prompt)
+                return response
+            
+            with st.form("my_form"):
+                {
+                    topic = st.text_area("Enter the topic for your LinkedIn post:")
+                    submitted = st.form_submit_button("Generate Post")
+                if submitted and topic:
+                    post = generate_linkedin_post(topic)
+                    st.info(post)
+                elif submitted and not topic:
+                    st.error("Please enter a topic to generate a post.")
+                }
+
+
+            
+        }
+ """"  # Selectbox
     st.header("Select Box:")
     selectbox = st.selectbox("Selectbox", ["Option 1", "Option 2", "Option 3"])
     st.write("Selected option:", selectbox)
@@ -109,6 +108,6 @@ def main():
     st.header("Color Picker :")
     color_picker = st.color_picker("Color Picker")
     st.write("Selected color:", color_picker)
-
+"""
 if __name__ == "__main__":
     main()