update

app.py

@@ -16,6 +16,7 @@ from reportlab.lib.pagesizes import letter
 from reportlab.pdfgen import canvas
 from PyPDF2 import PdfReader
 import docx
+
 # Load dataset
 @st.cache_data
 def load_dataset():
@@ -45,7 +46,7 @@ def generate_question_embeddings():
 question_embeddings = generate_question_embeddings()
 
 # Initialize translator
-translator = Translator()
+translator = GoogleTranslator(source="auto", target="en")
 
 # Suggested Questions
 suggested_questions = ["What is AI?", "Tell me a joke!", "How does machine learning work?"]
@@ -111,19 +112,6 @@ def text_to_speech(text):
     audio_file.seek(0)
     return audio_file
 
-def transcribe_audio():
-    """Allows user to speak input instead of typing."""
-    recognizer = sr.Recognizer()
-    with sr.Microphone() as source:
-        st.write("🎤 Listening... Speak now!")
-        audio = recognizer.listen(source)
-    try:
-        return recognizer.recognize_google(audio)
-    except sr.UnknownValueError:
-        return "Sorry, I couldn't understand that."
-    except sr.RequestError:
-        return "Speech recognition service error."
-
 def generate_chat_pdf():
     """Creates a PDF of the chat history and returns it as a downloadable file."""
     buffer = BytesIO()
@@ -180,32 +168,21 @@ for i, q in enumerate(suggested_questions):
 # Voice Input
 st.subheader("🎤 Speak instead of typing!")
 if st.button("🎙️ Use Voice Input"):
-    user_input = transcribe_audio()
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.write("🎤 Listening... Speak now!")
+        audio = recognizer.listen(source)
+    try:
+        user_input = recognizer.recognize_google(audio)
+    except sr.UnknownValueError:
+        user_input = "Sorry, I couldn't understand that."
+    except sr.RequestError:
+        user_input = "Speech recognition service error."
 
 # Video Call Feature
 st.subheader("📹 Video Call")
-
-# Initialize session state for video call
-if "video_call_active" not in st.session_state:
-    st.session_state.video_call_active = False
-
-# Button to start/stop video call
 if st.button("📞 Start Video Call"):
-    st.session_state.video_call_active = True
-
-if st.button("❌ End Video Call"):
-    st.session_state.video_call_active = False
-
-# Run video call if active
-if st.session_state.video_call_active:
-    webrtc_streamer(
-        key="video-call",
-        mode=WebRtcMode.SENDRECV,
-        rtc_configuration=RTCConfiguration(
-            {"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]}
-        ),
-        media_stream_constraints={"video": True, "audio": True},
-    )
+    webrtc_streamer(key="video-call", mode=WebRtcMode.SENDRECV)
 
 if user_input is None:
     user_input = st.chat_input("Type your message here...")
@@ -214,21 +191,10 @@ if user_input is None:
 if "messages" not in st.session_state:
     st.session_state.messages = []
 
-# Clear Chat Button
-if st.button("🗑️ Clear Chat"):
-    st.session_state.messages.clear()
-    st.rerun()
-
-
-# Display chat history
-for message in st.session_state.messages:
-    with st.chat_message(message["role"]):
-        st.write(message["content"])
-
 if user_input:
-    detected_lang = translator.detect(user_input).lang
-    if detected_lang != "en":
-        user_input = translator.translate(user_input, dest="en").text
+    translated_text = translator.translate(user_input)
+    if translated_text != user_input:
+        user_input = translated_text
 
     response = get_best_response(user_input)
     log_chat(user_input, response)
@@ -244,6 +210,5 @@ if user_input:
         st.write(f"{response}\n\n**Sentiment Analysis:** {sentiment_result}")
         st.audio(audio_file, format="audio/mp3")
 
-    # Download Chat as PDF
     pdf_file = generate_chat_pdf()
     st.download_button("📥 Download Chat as PDF", pdf_file, "chat_history.pdf", "application/pdf")