Update app.py

app.py

@@ -1,62 +1,25 @@
 import streamlit as st
 from transformers import pipeline
-from gtts import gTTS
-import speech_recognition as sr
-import pyaudio
+from gtts import gTTS  # Google Text-to-Speech library
+import IPython.display as ipd  # For playing audio in the notebook
 
 # Create a translation pipeline
 pipe = pipeline('translation', model='Helsinki-NLP/opus-mt-en-hi')
 
-# Initialize the SpeechRecognition recognizer
-recognizer = sr.Recognizer()
-
-# Find the microphone device index
-def find_microphone_index():
-    p = pyaudio.PyAudio()
-    for i in range(p.get_device_count()):
-        device_info = p.get_device_info_by_index(i)
-        if "microphone" in device_info["name"].lower():
-            return i
-    return None
-
-# Get the microphone device index
-microphone_index = find_microphone_index()
-
-audio_input = st.empty()
-
-# Check if the microphone input is requested
-if st.checkbox("Use Microphone for English Input"):
-    with audio_input:
-        if microphone_index is None:
-            st.warning("No microphone found. Please make sure your microphone is connected.")
-        else:
-            st.warning("Listening for audio input... Speak in English.")
-            try:
-                with sr.Microphone(device_index=microphone_index) as source:
-                    audio = recognizer.listen(source)
-                st.success("Audio input recorded. Translating...")
-
-                # Recognize the English speech
-                english_text = recognizer.recognize_google(audio, language='en')
-
-                # Translate the English text to Hindi
-                out = pipe(english_text, src_lang='en', tgt_lang='hi')
-
-                # Extract the translation
-                translation_text = out[0]['translation_text']
-                st.text(f"English Input: {english_text}")
-                st.text(f"Hindi Translation: {translation_text}")
-
-                # Convert the translated text to speech
-                tts = gTTS(translation_text, lang='hi')
-                tts.save("translated_audio.mp3")
-
-                # Display the audio player for listening to the speech
-                st.audio("translated_audio.mp3", format='audio/mp3')
-
-            except sr.WaitTimeoutError:
-                st.warning("No speech detected. Please speak into the microphone.")
-            except sr.RequestError as e:
-                st.error(f"Could not request results from Google Speech Recognition service: {e}")
-            except sr.UnknownValueError:
-                st.warning("Speech recognition could not understand the audio.")
+text = st.text_area("Enter some English text")
+if text:
+    out = pipe(text, src_lang='en', tgt_lang='hi')
+    st.json(out)
+    
+    # Extract the translated text from the JSON output
+    translation_text = out[0]['translation_text']
+    
+    # Convert the translated text to speech
+    tts = gTTS(translation_text, lang='hi')  # You can specify the desired language ('hi' for Hindi)
+    
+    # Save the generated speech as an audio file (e.g., "translated_audio.mp3")
+    audio_path = "translated_audio.mp3"
+    tts.save(audio_path)
+    
+    # Display the audio player for listening to the speech
+    st.audio(audio_path, format='audio/mp3')