Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 import json
-import openai
 import os
 import time
 import base64
@@ -79,16 +78,8 @@ if 'css_style' not in st.session_state:
 # Function to create presentation plan using LLM as "Planning Agent"
 def create_presentation_plan(topic, num_slides, key_points):
     try:
-        # Simulating LLM call - In production, replace with actual OpenAI API call
-        # client = openai.OpenAI(api_key=openai_api_key)
-        # response = client.chat.completions.create(
-        #     model="gpt-4",
-        #     messages=[
-        #         {"role": "system", "content": "You are a presentation planning expert. Create a detailed presentation outline."},
-        #         {"role": "user", "content": f"Create a presentation plan on '{topic}' with {num_slides} slides. Key points to include: {key_points}"}
-        #     ]
-        # )
-        # return response.choices[0].message.content
+        # Simulating LLM call - In production, you would replace this with an actual LLM API call
+        # For example, with OpenAI's API or another LLM provider
         
         # For demo, simulate an LLM response with a predefined structure
         time.sleep(1)  # Simulate API call time
@@ -139,7 +130,7 @@ def create_presentation_plan(topic, num_slides, key_points):
 # Function to generate HTML for a slide using LLM as "HTML Creation Agent"
 def generate_slide_html(slide_info, css_style):
     try:
-        # Simulating LLM call - In production, replace with actual OpenAI API call
+        # Simulating LLM call - In production, you would replace this with an actual LLM API call
         # For demo purposes, we'll create simple HTML based on slide type
         slide_type = slide_info.get("type", "content_slide")
         slide_number = slide_info.get("slide_number", 1)
@@ -430,4 +421,4 @@ This app uses a multi-agent approach to create presentations:
 """)
 
 st.sidebar.markdown("---")
-st.sidebar.info("Note: In a production version, this would use actual API calls to an LLM like GPT-4 for both the planning and HTML creation steps. This demo uses simulated responses for demonstration purposes.")
+st.sidebar.info("Note: In a production version, this would use actual API calls to an LLM service for both the planning and HTML creation steps. This demo uses simulated responses for demonstration purposes.")