Create app.py
Browse files
app.py
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| 1 |
+
import gradio as gr
|
| 2 |
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import os
|
| 3 |
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import numpy as np
|
| 4 |
+
from PIL import Image
|
| 5 |
+
from pytube import YouTube
|
| 6 |
+
import demoji
|
| 7 |
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import sounddevice
|
| 8 |
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from scipy.io.wavfile import write
|
| 9 |
+
from textblob import TextBlob
|
| 10 |
+
from faker import Faker
|
| 11 |
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import pandas as pd
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| 12 |
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from difflib import SequenceMatcher
|
| 13 |
+
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| 14 |
+
# Function for Image Mirroring
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| 15 |
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def mirror_image(input_img):
|
| 16 |
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if input_img is None:
|
| 17 |
+
return None
|
| 18 |
+
mirrored_img = Image.fromarray(input_img).transpose(Image.FLIP_LEFT_RIGHT)
|
| 19 |
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return mirrored_img
|
| 20 |
+
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| 21 |
+
# Function for YouTube to MP3 Download
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| 22 |
+
def download_youtube_mp3(url, destination="."):
|
| 23 |
+
if not url:
|
| 24 |
+
return "Please enter a valid URL"
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| 25 |
+
|
| 26 |
+
try:
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| 27 |
+
yt = YouTube(url)
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| 28 |
+
video = yt.streams.filter(only_audio=True).first()
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| 29 |
+
|
| 30 |
+
if not destination:
|
| 31 |
+
destination = "."
|
| 32 |
+
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| 33 |
+
out_file = video.download(output_path=destination)
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| 34 |
+
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| 35 |
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# Save the file with .mp3 extension
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| 36 |
+
base, ext = os.path.splitext(out_file)
|
| 37 |
+
new_file = base + '.mp3'
|
| 38 |
+
os.rename(out_file, new_file)
|
| 39 |
+
|
| 40 |
+
return f"{yt.title} has been successfully downloaded in .mp3 format at {new_file}"
|
| 41 |
+
except Exception as e:
|
| 42 |
+
return f"Error: {str(e)}"
|
| 43 |
+
|
| 44 |
+
# Function for Emoji Detection
|
| 45 |
+
def detect_emojis(text):
|
| 46 |
+
if not text:
|
| 47 |
+
return "Please enter text containing emojis"
|
| 48 |
+
|
| 49 |
+
emoji_dict = demoji.findall(text)
|
| 50 |
+
if emoji_dict:
|
| 51 |
+
result = "Emojis found:\n"
|
| 52 |
+
for emoji, desc in emoji_dict.items():
|
| 53 |
+
result += f"{emoji}: {desc}\n"
|
| 54 |
+
return result
|
| 55 |
+
else:
|
| 56 |
+
return "No emojis found in the text"
|
| 57 |
+
|
| 58 |
+
# Function for Voice Recording
|
| 59 |
+
def record_voice(seconds):
|
| 60 |
+
if seconds <= 0:
|
| 61 |
+
return "Please enter a positive number of seconds"
|
| 62 |
+
|
| 63 |
+
try:
|
| 64 |
+
fs = 44100 # Sample rate
|
| 65 |
+
recording = sounddevice.rec(int(seconds * fs), samplerate=fs, channels=2)
|
| 66 |
+
sounddevice.wait()
|
| 67 |
+
|
| 68 |
+
output_file = "recording.wav"
|
| 69 |
+
write(output_file, fs, recording)
|
| 70 |
+
|
| 71 |
+
return f"Recording completed! Saved as {output_file}", output_file
|
| 72 |
+
except Exception as e:
|
| 73 |
+
return f"Error recording: {str(e)}", None
|
| 74 |
+
|
| 75 |
+
# Function for Spell Correction
|
| 76 |
+
def correct_spelling(text):
|
| 77 |
+
if not text:
|
| 78 |
+
return "Please enter text to correct"
|
| 79 |
+
|
| 80 |
+
words = text.split()
|
| 81 |
+
corrected_words = []
|
| 82 |
+
|
| 83 |
+
for word in words:
|
| 84 |
+
corrected_words.append(str(TextBlob(word).correct()))
|
| 85 |
+
|
| 86 |
+
return f"Original: {text}\nCorrected: {' '.join(corrected_words)}"
|
| 87 |
+
|
| 88 |
+
# Function to Check for Disarium Number
|
| 89 |
+
def check_disarium(number):
|
| 90 |
+
try:
|
| 91 |
+
number = int(number)
|
| 92 |
+
if number <= 0:
|
| 93 |
+
return "Please enter a positive integer"
|
| 94 |
+
|
| 95 |
+
length = len(str(number))
|
| 96 |
+
temp = number
|
| 97 |
+
sum_val = 0
|
| 98 |
+
|
| 99 |
+
while temp > 0:
|
| 100 |
+
rem = temp % 10
|
| 101 |
+
sum_val += rem ** length
|
| 102 |
+
temp = temp // 10
|
| 103 |
+
length -= 1
|
| 104 |
+
|
| 105 |
+
if sum_val == number:
|
| 106 |
+
return f"{number} is a Disarium Number"
|
| 107 |
+
else:
|
| 108 |
+
return f"{number} is NOT a Disarium Number"
|
| 109 |
+
except ValueError:
|
| 110 |
+
return "Please enter a valid integer"
|
| 111 |
+
|
| 112 |
+
# Function to Generate Fake Data
|
| 113 |
+
def generate_fake_data(count=1, include_profile=False):
|
| 114 |
+
if count <= 0:
|
| 115 |
+
return "Please enter a positive number"
|
| 116 |
+
|
| 117 |
+
fake = Faker()
|
| 118 |
+
|
| 119 |
+
if include_profile:
|
| 120 |
+
data = [fake.profile() for _ in range(count)]
|
| 121 |
+
df = pd.DataFrame(data)
|
| 122 |
+
return df.to_string()
|
| 123 |
+
else:
|
| 124 |
+
result = ""
|
| 125 |
+
for _ in range(count):
|
| 126 |
+
result += f"Name: {fake.name()}\n"
|
| 127 |
+
result += f"Address: {fake.address()}\n"
|
| 128 |
+
result += f"Text: {fake.text()}\n\n"
|
| 129 |
+
return result
|
| 130 |
+
|
| 131 |
+
# Function to Compare Text Similarity
|
| 132 |
+
def compare_texts(text1, text2):
|
| 133 |
+
if not text1 or not text2:
|
| 134 |
+
return "Please enter both texts to compare"
|
| 135 |
+
|
| 136 |
+
similarity = SequenceMatcher(None, text1, text2).ratio()
|
| 137 |
+
return f"The texts are {similarity * 100:.2f}% similar"
|
| 138 |
+
|
| 139 |
+
# Create the Gradio interface with tabs
|
| 140 |
+
with gr.Blocks(title="MultiToolBox") as app:
|
| 141 |
+
gr.Markdown("# MultiToolBox")
|
| 142 |
+
gr.Markdown("A versatile utility toolkit with multiple functions")
|
| 143 |
+
|
| 144 |
+
with gr.Tabs():
|
| 145 |
+
# Image Mirroring Tab
|
| 146 |
+
with gr.Tab("Image Mirror"):
|
| 147 |
+
gr.Markdown("### Mirror an Image Horizontally")
|
| 148 |
+
with gr.Row():
|
| 149 |
+
with gr.Column():
|
| 150 |
+
img_input = gr.Image(label="Upload Image")
|
| 151 |
+
mirror_btn = gr.Button("Mirror Image")
|
| 152 |
+
with gr.Column():
|
| 153 |
+
img_output = gr.Image(label="Mirrored Image")
|
| 154 |
+
|
| 155 |
+
mirror_btn.click(fn=mirror_image, inputs=img_input, outputs=img_output)
|
| 156 |
+
|
| 157 |
+
gr.Markdown("""
|
| 158 |
+
**How to use:**
|
| 159 |
+
1. Upload an image using the upload button
|
| 160 |
+
2. Click "Mirror Image" to flip it horizontally
|
| 161 |
+
3. The result will appear in the right panel
|
| 162 |
+
""")
|
| 163 |
+
|
| 164 |
+
# YouTube to MP3 Tab
|
| 165 |
+
with gr.Tab("YouTube to MP3"):
|
| 166 |
+
gr.Markdown("### Download YouTube Videos as MP3")
|
| 167 |
+
yt_url = gr.Textbox(label="YouTube URL")
|
| 168 |
+
yt_destination = gr.Textbox(label="Destination Folder (leave empty for current directory)", placeholder=".")
|
| 169 |
+
yt_download_btn = gr.Button("Download")
|
| 170 |
+
yt_output = gr.Textbox(label="Result")
|
| 171 |
+
|
| 172 |
+
yt_download_btn.click(fn=download_youtube_mp3, inputs=[yt_url, yt_destination], outputs=yt_output)
|
| 173 |
+
|
| 174 |
+
gr.Markdown("""
|
| 175 |
+
**How to use:**
|
| 176 |
+
1. Enter a valid YouTube URL (e.g., https://www.youtube.com/watch?v=dQw4w9WgXcQ)
|
| 177 |
+
2. Optionally specify a destination folder
|
| 178 |
+
3. Click "Download" to convert and save as MP3
|
| 179 |
+
|
| 180 |
+
**Example:** https://www.youtube.com/watch?v=dQw4w9WgXcQ
|
| 181 |
+
""")
|
| 182 |
+
|
| 183 |
+
# Emoji Detection Tab
|
| 184 |
+
with gr.Tab("Emoji Detector"):
|
| 185 |
+
gr.Markdown("### Detect Emojis in Text")
|
| 186 |
+
emoji_input = gr.Textbox(label="Enter text with emojis")
|
| 187 |
+
emoji_detect_btn = gr.Button("Detect Emojis")
|
| 188 |
+
emoji_output = gr.Textbox(label="Results")
|
| 189 |
+
|
| 190 |
+
emoji_detect_btn.click(fn=detect_emojis, inputs=emoji_input, outputs=emoji_output)
|
| 191 |
+
|
| 192 |
+
gr.Markdown("""
|
| 193 |
+
**How to use:**
|
| 194 |
+
1. Enter text containing emojis
|
| 195 |
+
2. Click "Detect Emojis" to identify and describe them
|
| 196 |
+
|
| 197 |
+
**Example:** "I love reading books 📚❤️🌹"
|
| 198 |
+
""")
|
| 199 |
+
|
| 200 |
+
# Voice Recorder Tab
|
| 201 |
+
with gr.Tab("Voice Recorder"):
|
| 202 |
+
gr.Markdown("### Record Audio")
|
| 203 |
+
rec_seconds = gr.Number(label="Recording Duration (seconds)", value=5)
|
| 204 |
+
rec_button = gr.Button("Start Recording")
|
| 205 |
+
rec_output = gr.Textbox(label="Recording Status")
|
| 206 |
+
audio_output = gr.Audio(label="Recorded Audio")
|
| 207 |
+
|
| 208 |
+
rec_button.click(fn=record_voice, inputs=rec_seconds, outputs=[rec_output, audio_output])
|
| 209 |
+
|
| 210 |
+
gr.Markdown("""
|
| 211 |
+
**How to use:**
|
| 212 |
+
1. Enter the desired recording duration in seconds
|
| 213 |
+
2. Click "Start Recording"
|
| 214 |
+
3. Wait for the recording to complete
|
| 215 |
+
4. Play back the recorded audio using the player
|
| 216 |
+
|
| 217 |
+
**Example:** Enter 5 for a 5-second recording
|
| 218 |
+
""")
|
| 219 |
+
|
| 220 |
+
# Spell Correction Tab
|
| 221 |
+
with gr.Tab("Spell Checker"):
|
| 222 |
+
gr.Markdown("### Correct Spelling Errors")
|
| 223 |
+
spell_input = gr.Textbox(label="Enter text with spelling errors")
|
| 224 |
+
spell_btn = gr.Button("Correct Spelling")
|
| 225 |
+
spell_output = gr.Textbox(label="Corrected Text")
|
| 226 |
+
|
| 227 |
+
spell_btn.click(fn=correct_spelling, inputs=spell_input, outputs=spell_output)
|
| 228 |
+
|
| 229 |
+
gr.Markdown("""
|
| 230 |
+
**How to use:**
|
| 231 |
+
1. Enter text with spelling mistakes
|
| 232 |
+
2. Click "Correct Spelling" to fix errors
|
| 233 |
+
|
| 234 |
+
**Example:** "I havv a problm with speling"
|
| 235 |
+
""")
|
| 236 |
+
|
| 237 |
+
# Disarium Number Tab
|
| 238 |
+
with gr.Tab("Disarium Checker"):
|
| 239 |
+
gr.Markdown("### Check if a Number is a Disarium Number")
|
| 240 |
+
gr.Markdown("""
|
| 241 |
+
A Disarium number is a number where the sum of its digits raised to their respective positions equals the number itself.
|
| 242 |
+
Example: 135 is a Disarium number because 1^1 + 3^2 + 5^3 = 1 + 9 + 125 = 135
|
| 243 |
+
""")
|
| 244 |
+
|
| 245 |
+
disarium_input = gr.Textbox(label="Enter a number")
|
| 246 |
+
disarium_btn = gr.Button("Check")
|
| 247 |
+
disarium_output = gr.Textbox(label="Result")
|
| 248 |
+
|
| 249 |
+
disarium_btn.click(fn=check_disarium, inputs=disarium_input, outputs=disarium_output)
|
| 250 |
+
|
| 251 |
+
gr.Markdown("""
|
| 252 |
+
**How to use:**
|
| 253 |
+
1. Enter a positive integer
|
| 254 |
+
2. Click "Check" to determine if it's a Disarium number
|
| 255 |
+
|
| 256 |
+
**Examples:**
|
| 257 |
+
- 135 (Disarium number)
|
| 258 |
+
- 89 (Disarium number: 8^1 + 9^2 = 8 + 81 = 89)
|
| 259 |
+
- 175 (Not a Disarium number)
|
| 260 |
+
""")
|
| 261 |
+
|
| 262 |
+
# Fake Data Generator Tab
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| 263 |
+
with gr.Tab("Fake Data Generator"):
|
| 264 |
+
gr.Markdown("### Generate Fake Data")
|
| 265 |
+
|
| 266 |
+
with gr.Row():
|
| 267 |
+
fake_count = gr.Number(label="Number of entries", value=1, min=1, step=1)
|
| 268 |
+
fake_profile = gr.Checkbox(label="Generate detailed profiles")
|
| 269 |
+
|
| 270 |
+
fake_btn = gr.Button("Generate")
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| 271 |
+
fake_output = gr.Textbox(label="Generated Data", lines=10)
|
| 272 |
+
|
| 273 |
+
fake_btn.click(fn=generate_fake_data, inputs=[fake_count, fake_profile], outputs=fake_output)
|
| 274 |
+
|
| 275 |
+
gr.Markdown("""
|
| 276 |
+
**How to use:**
|
| 277 |
+
1. Enter the number of fake data entries to generate
|
| 278 |
+
2. Choose whether to generate detailed profiles
|
| 279 |
+
3. Click "Generate" to create fake data
|
| 280 |
+
|
| 281 |
+
**Example:** Generate 5 entries with detailed profiles
|
| 282 |
+
""")
|
| 283 |
+
|
| 284 |
+
# Text Similarity Tab
|
| 285 |
+
with gr.Tab("Text Similarity"):
|
| 286 |
+
gr.Markdown("### Compare Text Similarity")
|
| 287 |
+
|
| 288 |
+
text1_input = gr.Textbox(label="First Text")
|
| 289 |
+
text2_input = gr.Textbox(label="Second Text")
|
| 290 |
+
compare_btn = gr.Button("Compare")
|
| 291 |
+
similarity_output = gr.Textbox(label="Similarity Result")
|
| 292 |
+
|
| 293 |
+
compare_btn.click(fn=compare_texts, inputs=[text1_input, text2_input], outputs=similarity_output)
|
| 294 |
+
|
| 295 |
+
gr.Markdown("""
|
| 296 |
+
**How to use:**
|
| 297 |
+
1. Enter the first text for comparison
|
| 298 |
+
2. Enter the second text for comparison
|
| 299 |
+
3. Click "Compare" to calculate similarity percentage
|
| 300 |
+
|
| 301 |
+
**Example:**
|
| 302 |
+
- Text 1: "Hello, how are you today?"
|
| 303 |
+
- Text 2: "Hello, how are you doing today?"
|
| 304 |
+
""")
|
| 305 |
+
|
| 306 |
+
if __name__ == "__main__":
|
| 307 |
+
app.launch()
|