Delete app.py

app.py

@@ -1,105 +0,0 @@
-import streamlit as st
-import speech_recognition as sr
-from googletrans import Translator
-from cryptography.fernet import Fernet
-import pyttsx3
-
-# Function to encrypt the spoken words
-def encrypt(text, key):
-    cipher = Fernet(key)
-    encrypted_text = cipher.encrypt(text.encode())
-    return encrypted_text
-
-# Function to translate spoken words and speak the result
-def translate_and_encrypt(source_language, target_language, encrypt_text):
-    # Initialize the speech recognition module
-    recognizer = sr.Recognizer()
-
-    # Use the default microphone as the audio source
-    with sr.Microphone() as source:
-        st.write("Say something:")
-        audio = recognizer.listen(source)
-
-    # Google Web Speech API for speech-to-text conversion
-    try:
-        spoken_text = recognizer.recognize_google(audio, language=source_language)
-        st.write("You said:", spoken_text)
-
-        # Translate spoken words to the selected target language
-        translator = Translator()
-        translated_text = translator.translate(spoken_text, dest=target_language).text
-        st.write("Translated text:", translated_text)
-
-        # Speak the translated text
-        speak(translated_text, target_language)
-
-        # Encryption key for security
-        encryption_key = Fernet.generate_key()
-
-        # Encrypt the translated text if the user chooses encryption
-        if encrypt_text:
-            encrypted_text = encrypt(translated_text, encryption_key)
-            st.write("Encrypted text:", encrypted_text)
-        else:
-            encrypted_text = None
-
-        # Store the translated text and encryption status in session state
-        if 'translation_history' not in st.session_state:
-            st.session_state.translation_history = []
-        
-        st.session_state.translation_history.append({
-            'spoken_text': spoken_text,
-            'translated_text': translated_text,
-            'encrypted_text': encrypted_text
-        })
-
-    except sr.UnknownValueError:
-        st.write("Sorry, could not understand audio.")
-    except sr.RequestError as e:
-        st.write(f"Could not request results from Google Web Speech API; {e}")
-
-def speak(text, language):
-    # Initialize the text-to-speech engine with SAPI5 voices
-    engine = pyttsx3.init()
-    voices = engine.getProperty('voices')
-    
-    if language == "hindi":
-        engine.setProperty('voice', voices[0].id)  # Select Hindi voice
-    elif language == "urdu":
-        engine.setProperty('voice', voices[1].id)  # Select Urdu voice
-
-    engine.say(text)
-    engine.runAndWait()
-
-# Streamlit UI
-st.title("Speech Translation and Encryption")
-
-# Language selection
-language_options = ["en", "es", "fr", "de", "hindi", "urdu"]
-language_names = ["English", "Spanish", "French", "German", "Hindi", "Urdu"]
-
-source_language = st.selectbox("Select Source Language:", language_names, index=0)
-target_language = st.selectbox("Select Target Language:", language_names, index=1)
-
-# Checkbox for encryption
-encrypt_text = st.checkbox("Encrypt Text")
-
-# Button to trigger translation and encryption
-if st.button("Translate and Encrypt"):
-    translate_and_encrypt(source_language, target_language, encrypt_text)
-
-# Navigation to the Translation History tab
-if 'translation_history' in st.session_state and st.session_state.translation_history:
-    st.title("Translation History")
-    st.table(st.session_state.translation_history)
-
-# Organize the UI in tabs
-tabs = ["Translation History"]
-selected_tab = st.sidebar.radio("Select Tab", tabs)
-
-if selected_tab == "Translation History":
-    if 'translation_history' in st.session_state and st.session_state.translation_history:
-        st.title("Translation History")
-        st.table(st.session_state.translation_history)
-    else:
-        st.write("No translation history yet.")