Spaces:
Sleeping
Sleeping
File size: 7,543 Bytes
8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f 4558e9e 8cf2a7f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 |
import os
import sys
import time
import gradio as gr
from openai import OpenAI
from pptx import Presentation
from pptx.util import Pt
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Get API key from environment variable
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
if not OPENROUTER_API_KEY:
raise ValueError("OPENROUTER_API_KEY environment variable is not set")
# OpenRouter API configuration
MODEL_NAME = "meta-llama/llama-3.3-8b-instruct:free"
SITE_URL = "https://proposal-generator.io" # Replace with your actual site URL
SITE_NAME = "Professional Proposal Generator" # Replace with your actual site name
# Initialize OpenAI client for OpenRouter
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=OPENROUTER_API_KEY,
)
def generate_proposal(description):
"""Generate a proposal from a description using OpenRouter API"""
prompt = f"""Create a detailed project proposal with these sections:
1. Executive Summary
2. Project Background
3. Goals and Objectives
4. Methodology and Approach
5. Timeline
6. Budget Considerations
7. Expected Outcomes
8. Team and Resources
9. Risk Assessment
10. Conclusion
Include specific details in each section.
Project Description: {description}
Complete Project Proposal:"""
try:
completion = client.chat.completions.create(
extra_headers={
"HTTP-Referer": SITE_URL, # Optional. Site URL for rankings on openrouter.ai.
"X-Title": SITE_NAME, # Optional. Site title for rankings on openrouter.ai.
},
model=MODEL_NAME,
messages=[
{
"role": "system",
"content": "You are a professional business proposal writer with expertise in creating detailed, well-structured project proposals."
},
{
"role": "user",
"content": prompt
}
],
temperature=0.7,
max_tokens=4000
)
proposal = completion.choices[0].message.content
return proposal
except Exception as e:
print(f"Error generating proposal: {e}")
return f"Error generating proposal: {e}"
def create_slides(proposal):
"""Create PowerPoint slides from the proposal"""
prs = Presentation()
# Add title slide
title_slide = prs.slides.add_slide(prs.slide_layouts[0])
title_slide.shapes.title.text = "Project Proposal"
subtitle = title_slide.placeholders[1]
subtitle.text = "Generated with AI"
# List of sections to look for
sections = [
"Executive Summary",
"Project Background",
"Goals and Objectives",
"Methodology",
"Timeline",
"Budget",
"Expected Outcomes",
"Team and Resources",
"Risk Assessment",
"Conclusion"
]
# Split text into paragraphs
paragraphs = proposal.split('\n\n')
# Process each paragraph
current_section = None
current_content = []
found_sections = []
for para in paragraphs:
para = para.strip()
if not para:
continue
# Check if this is a section header
is_header = False
for section in sections:
if section.lower() in para.lower() and len(para) < 100:
# Save previous section
if current_section and current_content:
found_sections.append((current_section, current_content))
# Start new section
current_section = para
current_content = []
is_header = True
break
if not is_header:
current_content.append(para)
# Add the last section
if current_section and current_content:
found_sections.append((current_section, current_content))
# Create slides for each section
for title, content_paras in found_sections:
# Section title slide
section_slide = prs.slides.add_slide(prs.slide_layouts[2])
section_slide.shapes.title.text = title
# Content slides
current_slide = None
paragraphs_on_slide = 0
for para in content_paras:
# Start a new slide if needed
if current_slide is None or paragraphs_on_slide >= 5:
current_slide = prs.slides.add_slide(prs.slide_layouts[1])
current_slide.shapes.title.text = title
text_frame = current_slide.placeholders[1].text_frame
paragraphs_on_slide = 0
else:
text_frame.add_paragraph() # Add a blank line between paragraphs
# Add the paragraph
p = text_frame.add_paragraph()
p.text = para
# Basic formatting based on content
if para.startswith("-") or para.startswith("*"):
p.level = 1
paragraphs_on_slide += 1
# Save the presentation
output_path = "proposal_slides.pptx"
prs.save(output_path)
return output_path
def process_input(description):
"""Process the input and generate both proposal and slides"""
# Check if input is too short
if len(description.strip()) < 10:
return "Please provide a more detailed project description (at least 10 characters).", None
# Generate the proposal
proposal = generate_proposal(description)
# Create the slides
ppt_path = create_slides(proposal)
return proposal, ppt_path
# Create Gradio interface
def create_interface():
with gr.Blocks(title="Professional Project Proposal Generator") as app:
gr.Markdown("# Professional Project Proposal Generator")
gr.Markdown("Enter a project description to generate a comprehensive proposal and presentation slides using Meta Llama 3.3.")
with gr.Row():
with gr.Column(scale=1):
description_input = gr.Textbox(
label="Project Description",
placeholder="Describe your project in detail...",
lines=10
)
generate_button = gr.Button("Generate Proposal", variant="primary")
# Examples
examples = gr.Examples(
examples=[
"Develop a cloud-based SaaS platform for performance evaluation in educational institutions and corporate environments.",
"Create a mobile application for sustainable waste management and recycling in urban communities.",
"Design and implement a smart agriculture system using IoT sensors for small-scale farms."
],
inputs=description_input
)
with gr.Column(scale=2):
proposal_output = gr.Textbox(label="Generated Proposal", lines=20)
slides_output = gr.File(label="PowerPoint Slides")
generate_button.click(
process_input,
inputs=description_input,
outputs=[proposal_output, slides_output]
)
return app
# Main script code
if __name__ == "__main__":
print("Starting Gradio interface...")
app = create_interface()
app.launch(share=True) |