Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import speech_recognition as sr
+import soundfile as sf
+
+# Load translation models
+models = {
+    "Urdu": "Helsinki-NLP/opus-mt-en-ur",
+    "Punjabi": "Helsinki-NLP/opus-mt-en-pu",
+    "Sindhi": "Helsinki-NLP/opus-mt-en-sd",
+    "Bihari": "Helsinki-NLP/opus-mt-en-hi",  # Bihari is dialectically close to Hindi
+    "Arabic": "Helsinki-NLP/opus-mt-en-ar",
+    "Chinese": "Helsinki-NLP/opus-mt-en-zh",
+    "French": "Helsinki-NLP/opus-mt-en-fr",
+    "German": "Helsinki-NLP/opus-mt-en-de"
+}
+
+# Streamlit UI
+st.title("Language Translator App")
+st.write("Convert voice and text from English to various languages.")
+
+# Input method selection
+input_method = st.radio("Select input method:", ["Text", "Voice"])
+
+# Select target language
+target_language = st.selectbox("Select target language:", list(models.keys()))
+
+# Load translation pipeline
+translation_pipeline = pipeline("translation_en_to_" + target_language.lower(), model=models[target_language])
+
+def translate_text(text):
+    translation = translation_pipeline(text)[0]['translation_text']
+    return translation
+
+def translate_voice(audio_file):
+    recognizer = sr.Recognizer()
+    with sr.AudioFile(audio_file) as source:
+        audio_data = recognizer.record(source)
+        text = recognizer.recognize_google(audio_data)
+        return translate_text(text)
+
+# Text translation
+if input_method == "Text":
+    text_input = st.text_area("Enter English text here:")
+    if st.button("Translate Text"):
+        if text_input:
+            translated_text = translate_text(text_input)
+            st.write(f"**Translated Text ({target_language}):** {translated_text}")
+        else:
+            st.write("Please enter some text to translate.")
+
+# Voice translation
+elif input_method == "Voice":
+    st.write("Upload an English voice file (WAV format).")
+    voice_input = st.file_uploader("Upload Voice File", type=["wav"])
+    if st.button("Translate Voice"):
+        if voice_input:
+            translated_voice = translate_voice(voice_input)
+            st.write(f"**Translated Text ({target_language}):** {translated_voice}")
+        else:
+            st.write("Please upload a voice file to translate.")