File size: 9,112 Bytes
13dbd66
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
import streamlit as st
import moviepy.editor as mp
import speech_recognition as sr
from deep_translator import GoogleTranslator
import tempfile
import os
from pydub import AudioSegment
import torch
from TTS.api import TTS
import pyttsx3
import numpy as np
from scipy.io import wavfile
import soundfile as sf

class EnhancedVideoTranslator:
    def __init__(self):
        self.device = "cuda" if torch.cuda.is_available() else "cpu"
        # Initialize Coqui TTS
        try:
            self.tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2").to(self.device)
        except:
            # Fallback to a smaller model if XTTS fails
            self.tts = TTS(model_name="tts_models/multilingual/multi-dataset/bark").to(self.device)
        
        # Initialize pyttsx3 as backup
        self.pyttsx3_engine = pyttsx3.init()

    def extract_audio(self, video_path):
        video = mp.VideoFileClip(video_path)
        audio = video.audio
        temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix='.wav')
        audio.write_audiofile(temp_audio.name)
        return temp_audio.name

    def enhance_audio(self, audio_path):
        audio = AudioSegment.from_wav(audio_path)
        
        # Noise reduction and enhancement
        enhanced = audio.high_pass_filter(80)
        enhanced = enhanced.low_pass_filter(7500)
        enhanced = enhanced.normalize()
        
        # Apply compression
        enhanced = enhanced.compress_dynamic_range()
        
        enhanced_path = audio_path.replace('.wav', '_enhanced.wav')
        enhanced.export(enhanced_path, format="wav")
        return enhanced_path

    def speech_to_text(self, audio_path):
        recognizer = sr.Recognizer()
        
        with sr.AudioFile(audio_path) as source:
            recognizer.adjust_for_ambient_noise(source)
            audio = recognizer.record(source)
            
        try:
            # Try multiple language detection
            text = recognizer.recognize_google(audio)
            return text
        except Exception as e:
            return str(e)

    def translate_text(self, text, target_lang):
        translator = GoogleTranslator(source='auto', target=target_lang)
        return translator.translate(text)

    def text_to_speech_coqui(self, text, lang):
        try:
            temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix='.wav')
            
            # Use language-specific voices if available
            if lang == 'ta':
                speaker = "tamil_female"
            elif lang == 'hi':
                speaker = "hindi_female"
            else:
                speaker = None
            
            self.tts.tts_to_file(
                text=text,
                file_path=temp_audio.name,
                speaker=speaker,
                language=lang
            )
            
            return temp_audio.name
        except Exception as e:
            print(f"Coqui TTS failed: {e}")
            return self.text_to_speech_pyttsx3(text, lang)

    def text_to_speech_pyttsx3(self, text, lang):
        try:
            temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix='.wav')
            
            # Configure pyttsx3
            engine = self.pyttsx3_engine
            
            # Set language properties
            if lang == 'ta':
                engine.setProperty('voice', 'tamil')
            elif lang == 'hi':
                engine.setProperty('voice', 'hindi')
            
            # Adjust voice properties
            engine.setProperty('rate', 150)    # Speed
            engine.setProperty('volume', 0.9)  # Volume
            
            # Save to file
            engine.save_to_file(text, temp_audio.name)
            engine.runAndWait()
            
            return temp_audio.name
        except Exception as e:
            print(f"pyttsx3 TTS failed: {e}")
            return None

    def improve_audio_quality(self, audio_path):
        # Load audio
        audio, sr = sf.read(audio_path)
        
        # Apply basic audio improvements
        audio = audio * 1.5  # Increase volume
        audio = np.clip(audio, -1, 1)  # Prevent clipping
        
        # Save improved audio
        improved_path = audio_path.replace('.wav', '_improved.wav')
        sf.write(improved_path, audio, sr)
        return improved_path

def main():
    st.title("Enhanced AI Video Translator")
    st.write("Free and Open Source Video Translation with Realistic TTS")

    LANGUAGES = {
        'English': 'en',
        'Tamil': 'ta',
        'Hindi': 'hi',
        'Telugu': 'te',
        'Malayalam': 'ml',
        'Kannada': 'kn',
        'Spanish': 'es',
        'French': 'fr',
        'German': 'de',
        'Japanese': 'ja',
        'Chinese': 'zh',
        'Korean': 'ko'
    }

    translator = EnhancedVideoTranslator()

    # Improved UI
    st.markdown("""
    <style>
    .stButton>button {
        background-color: #4CAF50;
        color: white;
        padding: 10px 24px;
        border-radius: 5px;
    }
    </style>
    """, unsafe_allow_html=True)

    video_file = st.file_uploader(
        "Upload your video", 
        type=['mp4', 'avi', 'mov'],
        help="Supported formats: MP4, AVI, MOV"
    )
    
    if video_file:
        st.video(video_file)
        
        col1, col2 = st.columns(2)
        with col1:
            target_language = st.selectbox(
                "Target Language",
                list(LANGUAGES.keys())
            )
        
        with col2:
            tts_engine = st.selectbox(
                "TTS Engine",
                ["Coqui TTS", "pyttsx3"]
            )

        # Advanced options
        with st.expander("Advanced Settings"):
            quality_enhancement = st.checkbox("Enable Audio Enhancement", True)
            speed = st.slider("Speech Speed", 0.5, 2.0, 1.0, 0.1)
            volume = st.slider("Volume", 0.0, 2.0, 1.0, 0.1)

        if st.button("Translate Video"):
            try:
                progress_bar = st.progress(0)
                status = st.empty()

                # Process video
                temp_video = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
                temp_video.write(video_file.read())

                # Extract audio
                status.text("Extracting audio...")
                progress_bar.progress(20)
                audio_path = translator.extract_audio(temp_video.name)

                if quality_enhancement:
                    audio_path = translator.enhance_audio(audio_path)

                # Speech to text
                status.text("Converting speech to text...")
                progress_bar.progress(40)
                original_text = translator.speech_to_text(audio_path)

                # Translate
                status.text("Translating...")
                progress_bar.progress(60)
                translated_text = translator.translate_text(
                    original_text, 
                    LANGUAGES[target_language]
                )

                # Text to speech
                status.text("Generating speech...")
                progress_bar.progress(80)
                
                if tts_engine == "Coqui TTS":
                    translated_audio = translator.text_to_speech_coqui(
                        translated_text,
                        LANGUAGES[target_language]
                    )
                else:
                    translated_audio = translator.text_to_speech_pyttsx3(
                        translated_text,
                        LANGUAGES[target_language]
                    )

                if quality_enhancement:
                    translated_audio = translator.improve_audio_quality(translated_audio)

                # Create final video
                status.text("Creating final video...")
                progress_bar.progress(90)
                
                output_path = "translated_video.mp4"
                video = mp.VideoFileClip(temp_video.name)
                audio = mp.AudioFileClip(translated_audio)
                
                final_video = video.set_audio(audio)
                final_video.write_videofile(output_path)

                progress_bar.progress(100)
                status.text("Complete!")

                # Display results
                st.success("Translation completed!")
                
                col1, col2 = st.columns(2)
                with col1:
                    st.subheader("Original Text")
                    st.write(original_text)
                with col2:
                    st.subheader("Translated Text")
                    st.write(translated_text)

                st.subheader("Translated Video")
                st.video(output_path)

                # Cleanup
                for file in [temp_video.name, audio_path, translated_audio, output_path]:
                    if os.path.exists(file):
                        os.unlink(file)

            except Exception as e:
                st.error(f"An error occurred: {str(e)}")

if __name__ == "__main__":
    main()