wolf-of-nyc / app.py
gpt-engineer-app[bot]
Fix: Avoid modifying .gitignore
4ddead7
import gradio as gr
import json
import os
from datetime import datetime
import tempfile
import io
from gtts import gTTS
import pytesseract
from PIL import Image
import zipfile
# Global state for projects
PROJECTS_FILE = "projects.json"
current_project_id = None
def load_projects():
"""Load projects from JSON file"""
if os.path.exists(PROJECTS_FILE):
with open(PROJECTS_FILE, 'r') as f:
return json.load(f)
return {
"projects": {
"1": {
"id": "1",
"name": "Sample Script",
"content": "Welcome to ScriptVoice! This is your first script. Start editing to create amazing voice content.",
"notes": "This is a sample note for your script.",
"created_at": datetime.now().isoformat(),
"word_count": 0
}
},
"settings": {
"dyslexic_mode": False,
"voice_speed": 1.0,
"voice_volume": 1.0
}
}
def save_projects(data):
"""Save projects to JSON file"""
with open(PROJECTS_FILE, 'w') as f:
json.dump(data, f, indent=2)
def get_word_count(text):
"""Count words in text"""
if not text:
return 0
return len(text.split())
def update_word_count(text):
"""Update word count display"""
count = get_word_count(text)
return f"**Word Count:** {count}"
def create_new_project(name):
"""Create a new project"""
if not name.strip():
return "Please enter a project name", None
data = load_projects()
new_id = str(len(data["projects"]) + 1)
data["projects"][new_id] = {
"id": new_id,
"name": name.strip(),
"content": "",
"notes": "",
"created_at": datetime.now().isoformat(),
"word_count": 0
}
save_projects(data)
# Return updated project choices and select the new project
choices = [(proj["name"], proj_id) for proj_id, proj in data["projects"].items()]
return f"Project '{name}' created successfully!", gr.update(choices=choices, value=new_id)
def load_project(project_id):
"""Load a specific project"""
if not project_id:
return "", "", "**Word Count:** 0"
global current_project_id
current_project_id = project_id
data = load_projects()
if project_id in data["projects"]:
project = data["projects"][project_id]
word_count = get_word_count(project["content"])
return project["content"], project["notes"], f"**Word Count:** {word_count}"
return "", "", "**Word Count:** 0"
def save_script_content(project_id, content, notes):
"""Save script content and notes"""
if not project_id:
return "No project selected"
data = load_projects()
if project_id in data["projects"]:
data["projects"][project_id]["content"] = content
data["projects"][project_id]["notes"] = notes
data["projects"][project_id]["word_count"] = get_word_count(content)
save_projects(data)
return "βœ… Saved successfully"
return "❌ Error saving"
def generate_tts(text, speed=1.0):
"""Generate TTS audio from text"""
if not text.strip():
return None, "Please enter some text to convert to speech"
try:
# Create a temporary file for the audio
tts = gTTS(text=text, lang='en', slow=(speed < 1.0))
# Use a temporary file
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
tts.save(tmp_file.name)
return tmp_file.name, "βœ… Audio generated successfully"
except Exception as e:
return None, f"❌ Error generating audio: {str(e)}"
def extract_text_from_image(image):
"""Extract text from uploaded image using OCR"""
if image is None:
return "", "Please upload an image"
try:
# Use pytesseract to extract text
text = pytesseract.image_to_string(Image.open(image))
if text.strip():
return text.strip(), "βœ… Text extracted successfully"
else:
return "", "No text found in the image"
except Exception as e:
return "", f"❌ Error extracting text: {str(e)}"
def enhance_script_placeholder(text, enhancement_type):
"""Placeholder for AI script enhancement"""
enhancements = {
"dramatic": f"[DRAMATIC VERSION]\n{text}\n\n(Note: AI enhancement feature coming soon!)",
"romantic": f"[ROMANTIC VERSION]\n{text}\n\n(Note: AI enhancement feature coming soon!)",
"professional": f"[PROFESSIONAL VERSION]\n{text}\n\n(Note: AI enhancement feature coming soon!)",
"casual": f"[CASUAL VERSION]\n{text}\n\n(Note: AI enhancement feature coming soon!)"
}
return enhancements.get(enhancement_type, text), "βœ… Enhancement applied (demo mode)"
def export_project(project_id, export_type):
"""Export project content"""
if not project_id:
return None, "No project selected"
data = load_projects()
if project_id not in data["projects"]:
return None, "Project not found"
project = data["projects"][project_id]
if export_type == "text":
# Create text file
content = f"Project: {project['name']}\n"
content += f"Created: {project['created_at']}\n"
content += f"Word Count: {project['word_count']}\n\n"
content += "SCRIPT:\n" + "="*50 + "\n"
content += project['content'] + "\n\n"
content += "NOTES:\n" + "="*50 + "\n"
content += project['notes']
with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt', encoding='utf-8') as tmp_file:
tmp_file.write(content)
return tmp_file.name, "βœ… Text file exported"
elif export_type == "audio":
# Generate TTS audio
if not project['content'].strip():
return None, "No content to convert to audio"
try:
tts = gTTS(text=project['content'], lang='en')
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
tts.save(tmp_file.name)
return tmp_file.name, "βœ… Audio file exported"
except Exception as e:
return None, f"❌ Error generating audio: {str(e)}"
return None, "Invalid export type"
# Initialize the Gradio interface
def create_interface():
"""Create the main Gradio interface"""
# Load initial projects
data = load_projects()
project_choices = [(proj["name"], proj_id) for proj_id, proj in data["projects"].items()]
with gr.Blocks(title="ScriptVoice - TTS Script Editor", theme=gr.themes.Soft()) as app:
# Header
gr.HTML("""
<div style="text-align: center; padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 10px; margin-bottom: 20px;">
<h1 style="margin: 0; font-size: 2.5em;">
<span style="color: #ff6b6b;">Script</span><span style="color: #ffd93d;">Voice</span>
</h1>
<p style="margin: 10px 0 0 0; font-size: 1.2em;">AI-Powered TTS Script Editor</p>
</div>
""")
with gr.Row():
# Left Sidebar
with gr.Column(scale=1, min_width=300):
gr.Markdown("### πŸ“ Projects")
# New Project Section
with gr.Group():
new_project_name = gr.Textbox(label="New Project Name", placeholder="Enter project name...")
create_btn = gr.Button("βž• Create Project", variant="primary")
create_status = gr.Textbox(label="Status", interactive=False, visible=False)
# Project Selection
project_dropdown = gr.Dropdown(
choices=project_choices,
label="Select Project",
value=list(data["projects"].keys())[0] if data["projects"] else None
)
# Notes Section
gr.Markdown("### πŸ“ Notes")
notes_textbox = gr.Textbox(
label="Project Notes",
placeholder="Add your notes here...",
lines=5,
max_lines=10
)
# Settings Section
gr.Markdown("### βš™οΈ Settings")
with gr.Group():
dyslexic_mode = gr.Checkbox(label="Dyslexic-friendly font", value=False)
voice_speed = gr.Slider(0.5, 2.0, value=1.0, step=0.1, label="Voice Speed")
voice_volume = gr.Slider(0.1, 1.0, value=1.0, step=0.1, label="Voice Volume")
# Main Editor Panel
with gr.Column(scale=2):
# Word Count Display
word_count_display = gr.Markdown("**Word Count:** 0")
# Script Editor
script_textbox = gr.Textbox(
label="Script Editor",
placeholder="Start writing your script here...",
lines=15,
max_lines=25
)
# Control Buttons Row
with gr.Row():
save_btn = gr.Button("πŸ’Ύ Save", variant="secondary")
tts_btn = gr.Button("πŸ”Š Play TTS", variant="primary")
save_status = gr.Textbox(label="Save Status", interactive=False, visible=False)
# TTS Audio Output
audio_output = gr.Audio(label="Generated Audio")
tts_status = gr.Textbox(label="TTS Status", interactive=False, visible=False)
# OCR Section
with gr.Group():
gr.Markdown("### πŸ“· Extract Text from Image")
with gr.Row():
image_input = gr.Image(type="filepath", label="Upload Image")
ocr_btn = gr.Button("Extract Text")
ocr_status = gr.Textbox(label="OCR Status", interactive=False, visible=False)
# AI Enhancement Section
with gr.Group():
gr.Markdown("### πŸ€– AI Script Enhancement")
with gr.Row():
enhancement_type = gr.Dropdown(
choices=["dramatic", "romantic", "professional", "casual"],
label="Enhancement Style",
value="dramatic"
)
enhance_btn = gr.Button("✨ Enhance Script")
enhance_status = gr.Textbox(label="Enhancement Status", interactive=False, visible=False)
# Export Section
with gr.Group():
gr.Markdown("### πŸ“€ Export")
with gr.Row():
export_type = gr.Dropdown(
choices=["text", "audio"],
label="Export Type",
value="text"
)
export_btn = gr.Button("πŸ“₯ Export")
export_file = gr.File(label="Download")
export_status = gr.Textbox(label="Export Status", interactive=False, visible=False)
# Event Handlers
# Create new project
create_btn.click(
fn=create_new_project,
inputs=[new_project_name],
outputs=[create_status, project_dropdown]
).then(
lambda: ("", gr.update(visible=True)),
outputs=[new_project_name, create_status]
)
# Load project when selected
project_dropdown.change(
fn=load_project,
inputs=[project_dropdown],
outputs=[script_textbox, notes_textbox, word_count_display]
)
# Update word count as user types
script_textbox.change(
fn=update_word_count,
inputs=[script_textbox],
outputs=[word_count_display]
)
# Save script content
save_btn.click(
fn=save_script_content,
inputs=[project_dropdown, script_textbox, notes_textbox],
outputs=[save_status]
).then(
lambda: gr.update(visible=True),
outputs=[save_status]
)
# Generate TTS
tts_btn.click(
fn=generate_tts,
inputs=[script_textbox, voice_speed],
outputs=[audio_output, tts_status]
).then(
lambda: gr.update(visible=True),
outputs=[tts_status]
)
# OCR text extraction
ocr_btn.click(
fn=extract_text_from_image,
inputs=[image_input],
outputs=[script_textbox, ocr_status]
).then(
lambda: gr.update(visible=True),
outputs=[ocr_status]
)
# AI Enhancement
enhance_btn.click(
fn=enhance_script_placeholder,
inputs=[script_textbox, enhancement_type],
outputs=[script_textbox, enhance_status]
).then(
lambda: gr.update(visible=True),
outputs=[enhance_status]
)
# Export functionality
export_btn.click(
fn=export_project,
inputs=[project_dropdown, export_type],
outputs=[export_file, export_status]
).then(
lambda: gr.update(visible=True),
outputs=[export_status]
)
return app
if __name__ == "__main__":
# Create and launch the app
app = create_interface()
app.launch(
server_name="0.0.0.0",
server_port=7860,
share=True,
show_error=True
)