Added real time translation model

Natural Language Processing/Translator-app/Readme.md

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+# 🌐 Real-Time Language Translator
+
+A real-time language translation app built using Streamlit, Google Translate, and speech-to-text technology. This app allows users to speak in one language and get real-time translations in another, along with text-to-speech output for the translated text.
+
+## Features
+- **Speech Recognition:** Capture spoken input using a microphone.
+- **Real-Time Translation:** Translate the captured speech into a chosen language.
+- **Text-to-Speech:** Listen to the translated text in the target language.
+- **Multiple Languages Supported:** Including English, Hindi, Tamil, Telugu, Marathi, Bengali, and more.
+
+## Project Structure
+
+streamlit_translation_app/ │ ├── main.py # Main Streamlit app file ├── translation.py # Core logic for speech capture, translation, and TTS ├── utils.py # Utility functions and language mappings ├── requirements.txt # Python dependencies ├── README.md # Project documentation └── assets/ └── styles.css # Custom CSS for UI
+
+
+## Requirements
+- Python 3.x
+- A microphone for speech input
+
+## Installation
+
+1. Clone the repository:
+
+    ```bash
+    git clone https://github.com/your_username/streamlit_translation_app.git
+    ```
+
+2. Navigate to the project directory:
+
+    ```bash
+    cd streamlit_translation_app
+    ```
+
+3. Install the required dependencies:
+
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+4. Run the app:
+
+    ```bash
+    streamlit run main.py
+    ```
+
+## How to Use
+
+1. Select the source language (the language you will speak).
+2. Select the target language (the language you want to translate to).
+3. Click on **Start Listening** to capture speech.
+4. Listen to the translated speech output and see the text on the screen.
+
+## Customization
+
+- **Language Support:** You can add more languages by updating the `LANGUAGES` dictionary in `utils.py`.
+- **UI Styling:** Modify the `assets/styles.css` file to customize the look and feel of the app.
+
+## Contributing
+
+Feel free to contribute to this project by opening issues or submitting pull requests.
+
+## License
+
+This project is licensed under the MIT License. See `LICENSE` for more details.

Natural Language Processing/Translator-app/assets/styles.css

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+body {background-color: #0d1117; color: #c9d1d9;}
+.main {padding: 20px;}
+h1 {color: #58a6ff;}
+.info {font-size: 18px; color: #58a6ff; animation: glow 1s infinite;}
+.success {font-size: 18px; color: #34d058;}
+.stButton > button {
+    background-color: #238636;
+    color: white;
+    border-radius: 12px;
+    padding: 10px 30px;
+    font-weight: bold;
+    font-size: 16px;
+    cursor: pointer;
+    transition: background-color 0.3s ease;
+}
+.stButton > button:hover {
+    background-color: #2ea043;
+}
+
+@keyframes glow {
+    0% {box-shadow: 0 0 5px #58a6ff;}
+    50% {box-shadow: 0 0 20px #58a6ff;}
+    100% {box-shadow: 0 0 5px #58a6ff;}
+}

Natural Language Processing/Translator-app/main.py

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+import streamlit as st
+from translation import capture_and_translate
+from utils import LANGUAGES
+import time
+import os
+
+# Load custom CSS
+def load_css():
+    with open("assets/styles.css") as f:
+        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
+
+# UI Structure
+def main():
+    st.title("🌐Real-Time Language Translator")
+    st.markdown("Translate spoken language into other languages in real-time with a sleek experience.")
+
+    load_css()  # Load custom styling
+
+    # Language selection
+    source_lang_name = st.selectbox("🌍 Select Source Language", list(LANGUAGES.keys()))
+    target_lang_name = st.selectbox("🔄 Select Target Language", list(LANGUAGES.keys()))
+
+    source_lang = LANGUAGES[source_lang_name]
+    target_lang = LANGUAGES[target_lang_name]
+
+    # Button to start listening
+    if st.button("🎤 Start Listening", key="listen_button"):
+        audio_file = capture_and_translate(source_lang, target_lang)
+        if audio_file:
+            time.sleep(1)  # Ensure pygame cleanup
+            try:
+                os.remove(audio_file)
+            except Exception as e:
+                st.error(f"⚠️ Error while deleting the file: {str(e)}")
+
+if __name__ == "__main__":
+    main()

Natural Language Processing/Translator-app/requirements.txt

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+streamlit
+googletrans==4.0.0rc1
+gtts
+pygame
+SpeechRecognition

Natural Language Processing/Translator-app/translation.py

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+import speech_recognition as sr
+from googletrans import Translator
+from gtts import gTTS
+import pygame
+import streamlit as st
+
+# Initialize recognizer and translator
+recognizer = sr.Recognizer()
+translator = Translator()
+
+# Function to capture and translate speech
+def capture_and_translate(source_lang, target_lang):
+    with sr.Microphone() as source:
+        st.info("🎙️ Listening... Speak now.")
+
+        recognizer.adjust_for_ambient_noise(source, duration=1)
+        recognizer.energy_threshold = 200
+
+        try:
+            # Capture speech
+            audio = recognizer.listen(source, timeout=15, phrase_time_limit=15)
+            st.success("🔄 Processing...")
+
+            # Recognize speech
+            text = recognizer.recognize_google(audio, language=source_lang)
+            st.write(f"🗣️ Original ({source_lang}): {text}")
+
+            # Translate speech
+            translation = translator.translate(text, src=source_lang, dest=target_lang)
+            st.write(f"🔊 Translated ({target_lang}): {translation.text}")
+
+            # Convert translation to speech
+            tts = gTTS(text=translation.text, lang=target_lang)
+            audio_file = "translated_audio.mp3"
+            tts.save(audio_file)
+
+            # Play the audio
+            pygame.mixer.init()
+            pygame.mixer.music.load(audio_file)
+            pygame.mixer.music.play()
+
+            st.audio(audio_file)
+
+            while pygame.mixer.music.get_busy():
+                pygame.time.Clock().tick(10)
+
+            pygame.mixer.music.stop()
+            pygame.mixer.quit()
+
+            return audio_file
+
+        except sr.WaitTimeoutError:
+            st.error("⚠️ No speech detected. Try speaking louder.")
+        except sr.UnknownValueError:
+            st.error("⚠️ Could not recognize speech.")
+        except Exception as e:
+            st.error(f"⚠️ Error: {str(e)}")
+        return None

Natural Language Processing/Translator-app/utils.py

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+# Available languages dictionary
+LANGUAGES = {
+    'English': 'en',
+    'Hindi': 'hi',
+    'Tamil': 'ta',
+    'Telugu': 'te',
+    'Marathi': 'mr',
+    'Bengali': 'bn',
+    'Gujarati': 'gu',
+    'Kannada': 'kn',
+    'Malayalam': 'ml',
+    'Punjabi': 'pa',
+    'Urdu': 'ur'
+}