Delete app.py

app.py

@@ -1,120 +0,0 @@
-import openai
-import json
-from pptx import Presentation
-import streamlit as st
-import os
-
-# Suppress all warnings
-import warnings
-warnings.filterwarnings("ignore")
-
-# Set your OpenAI API key
-openai.api_key = "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"
-
-# Streamlit app title and header
-st.title("🌟 PowerPoint Presentation Generator 🌟")
-st.header("Welcome to the Future of Presentation Creation!")
-
-# Introduction
-st.markdown(
-    """
-    Creating presentations has never been this easy and exciting! With our AI-powered model, you can quickly generate presentation content, while the design remains your creative canvas. 🎨
-    
-    Here's what we do:
-    - **You provide the presentation topic**, and we add captivating content.
-    - Our AI ensures **each slide has the perfect balance of information**.
-    - Stay tuned for **exciting future features** that will enhance your presentation experience. 🚀
-    """
-)
-
-# Presentation Limits
-st.subheader("📊 Presentation Limits (for now, subject to change in future updates) 📊")
-st.write("✨ You can create a minimum of 3 and a maximum of 8 slides per presentation.")
-st.write("✨ Each slide should have between 3 and 7 points of content.")
-st.write("✨ Minimum 3 points, maximum 7 points. ⚠️")
-
-# Important Notice
-st.warning("⚠️ Important Notice: Occasional download issues? Try re-downloading or reach out to us for assistance. We apologize for any inconvenience.")
-
-# Contact and Feedback
-st.subheader("📞 Contact and Feedback 📞")
-st.write("Have questions, ideas, or cool suggestions for future enhancements? We're all ears!")
-st.write("Your feedback is invaluable in making your experience the best it can be! 🌟")
-
-# Input for presentation topic
-presentation_title = st.text_input("📝 Enter your presentation topic:")
-no_of_pages = st.number_input("📊 Number of slides you want (3-8)", min_value=3, max_value=8, value=3)
-least_c = st.number_input("📊 Minimum points in each slide (3-7)", min_value=3, max_value=7, value=3)
-max_c = st.number_input("📊 Maximum points in each slide (4-7)", min_value=4, max_value=7, value=7)
-
-# Check if any input values are out of range
-if no_of_pages > 8 or no_of_pages < 3 or least_c > 7 or least_c < 3 or max_c > 7 or max_c < 4:
-    st.warning("Invalid input values. Please ensure that your inputs are within the specified limits.")
-else:
-    if st.button("Generate Presentation"):
-        # Check if the user has entered a topic
-        if presentation_title:
-            question = (
-                f"generate a {no_of_pages} slide presentation for the topic {presentation_title}."
-                f" Each slide should have {{header}}, {{content}}, should have at least {least_c} points and max {max_c} points in content. Return as JSON"
-            )
-
-            query_json = {
-                "input_text": question,
-                "output_format": "json",
-                "json_structure": {"slides": "{{presentation_slides}}"},
-            }
-
-            # Send the query to OpenAI
-            completion = openai.ChatCompletion.create(
-                model="gpt-3.5-turbo",
-                messages=[{"role": "user", "content": json.dumps(query_json)}],
-            )
-            
-            try:
-                response = json.loads(completion.choices[0].message.content)
-                
-                slide_data = response["slides"]
-
-                prs = Presentation()
-
-                from pptx.util import Pt
-                from pptx.enum.text import PP_ALIGN
-
-                for slide in slide_data:
-                    slide_layout = prs.slide_layouts[1]
-                    new_slide = prs.slides.add_slide(slide_layout)
-
-                    if slide["header"]:
-                        title = new_slide.shapes.title
-                        title.text = slide["header"]
-
-                    if slide["content"]:
-                        shapes = new_slide.shapes
-                        body_shape = shapes.placeholders[1]
-                        tf = body_shape.text_frame
-
-                        content_text = "\n".join(slide["content"])
-
-                        p = tf.add_paragraph()
-                        p.text = content_text
-
-                        p.space_after = Pt(14)
-                        p.alignment = PP_ALIGN.LEFT
-
-                presentation_filename = f"{presentation_title}.pptx"
-                prs.save(presentation_filename)
-
-                with open(presentation_filename, "rb") as file:
-                    st.download_button(
-                        label=f"📥 Download {presentation_title}",
-                        data=file.read(),
-                        key=presentation_filename,
-                        file_name=presentation_filename
-                    )
-
-                os.remove(presentation_filename)
-            except json.JSONDecodeError as e:
-                st.error("Error parsing JSON response from OpenAI.")
-        else:
-            st.warning("Please enter a presentation topic.")