Update app.py

app.py

@@ -1,8 +1,8 @@
 import streamlit as st
-import speech_recognition as sr
+import time
 from transformers import pipeline
 
-st.title("Speech-to-Text and Translation Chatbot")
+st.title("Enhanced Multilingual Translator Chatbot")
 
 # Choose the translation models from Hugging Face
 translation_models = {
@@ -12,6 +12,10 @@ translation_models = {
     "French to English": "Helsinki-NLP/opus-mt-fr-en",
     "English to Urdu": "Helsinki-NLP/opus-mt-en-ur",
     "Urdu to English": "Helsinki-NLP/opus-mt-ur-en",
+    "English to Spanish": "Helsinki-NLP/opus-mt-en-es",
+    "Spanish to English": "Helsinki-NLP/opus-mt-es-en",
+    "English to Chinese": "Helsinki-NLP/opus-mt-en-zh",
+    "Chinese to English": "Helsinki-NLP/opus-mt-zh-en",
     # Add more language pairs as needed
 }
 
@@ -20,28 +24,33 @@ selected_translation = st.selectbox("Select translation model", list(translation
 # Load the translation pipeline
 translator = pipeline(task="translation", model=translation_models[selected_translation])
 
-# Function to perform speech-to-text and translation
-def speech_to_text_and_translate():
-    recognizer = sr.Recognizer()
-
-    st.info("Speak into your microphone...")
-
-    with sr.Microphone() as source:
-        audio_data = recognizer.listen(source, timeout=10)
-
-    try:
-        text = recognizer.recognize_google(audio_data)
-        st.success(f"Speech-to-Text Result: {text}")
-
-        # Perform translation
-        translated_text = translator(text, max_length=500)[0]['translation_text']
-        st.success(f"Translated Text: {translated_text}")
-
-    except sr.UnknownValueError:
-        st.warning("Speech recognition could not understand audio.")
-    except sr.RequestError as e:
-        st.error(f"Error with the speech recognition service: {e}")
-
-# Use speech-to-text and translation
-if st.button("Start Speech-to-Text and Translation"):
-    speech_to_text_and_translate()
+# User input for translation
+user_input = st.text_area("Enter text for translation:", "")
+
+# Display loading indicator
+if st.button("Translate"):
+    with st.spinner("Translating..."):
+        # Simulate translation delay for demonstration
+        time.sleep(2)
+        if user_input:
+            # Perform translation
+            translated_text = translator(user_input, max_length=500)[0]['translation_text']
+            st.success(f"Translated Text: {translated_text}")
+        else:
+            st.warning("Please enter text for translation.")
+
+# Clear button to reset input and result
+if st.button("Clear"):
+    user_input = ""
+    st.success("Input cleared.")
+    st.empty()  # Clear previous results if any
+
+st.markdown("---")
+
+st.subheader("About")
+st.write(
+    "This is an enhanced Multilingual Translator chatbot that uses the Hugging Face Transformers library."
+)
+st.write(
+    "Select a translation model from the dropdown, enter text, and click 'Translate' to see the translation."
+)