update

app.py

@@ -9,7 +9,7 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 import datetime  # Logging
 import json  # Chat history
 from textblob import TextBlob  # Sentiment analysis
-from deep_translator import GoogleTranslator  # Fixed Translator Import
+from googletrans import Translator  # Language translation
 import speech_recognition as sr  # Voice recognition
 from streamlit_webrtc import webrtc_streamer, WebRtcMode, RTCConfiguration  # Video calling
 from reportlab.lib.pagesizes import letter
@@ -46,7 +46,7 @@ def generate_question_embeddings():
 question_embeddings = generate_question_embeddings()
 
 # Initialize translator
-translator = GoogleTranslator(source="auto", target="en")
+translator = Translator()
 
 # Suggested Questions
 suggested_questions = ["What is AI?", "Tell me a joke!", "How does machine learning work?"]
@@ -78,6 +78,7 @@ def get_best_response(user_input):
     if best_match_score > 0.7:
         return answers[best_match_idx]
 
+    # Generate response using BlenderBot
     inputs = chatbot_tokenizer(user_input, return_tensors="pt")
     outputs = chatbot_model.generate(**inputs)
     return chatbot_tokenizer.decode(outputs[0], skip_special_tokens=True)
@@ -124,16 +125,126 @@ def transcribe_audio():
     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()
+    c = canvas.Canvas(buffer, pagesize=letter)
+    width, height = letter
+    
+    y_position = height - 40  # Start at top
+    
+    c.setFont("Helvetica-Bold", 14)
+    c.drawString(30, y_position, "Chat History")
+    y_position -= 20
+    c.setFont("Helvetica", 10)
+    
+    for message in st.session_state.messages:
+        role = "User: " if message["role"] == "user" else "Bot: "
+        text = role + message["content"]
+        
+        for line in text.split("\n"):
+            if y_position < 40:  # New page if reaching bottom
+                c.showPage()
+                c.setFont("Helvetica", 10)
+                y_position = height - 40
+            
+            c.drawString(30, y_position, line)
+            y_position -= 15
+    
+    c.save()
+    buffer.seek(0)
+    return buffer
+
 # Streamlit UI
 st.title("🤖 AI Chatbot with File Upload & Video Calling 🚀")
 
-# User input handling
-user_input = st.text_input("Type your message here...")
+# File Upload Feature
+uploaded_file = st.file_uploader("📄 Upload a document for Q&A", type=["txt", "pdf", "docx"])
+
+if uploaded_file:
+    extracted_text = extract_text_from_file(uploaded_file)
+    if extracted_text:
+        st.subheader("📜 Extracted File Content:")
+        st.text_area("File Content", extracted_text, height=200)
+    else:
+        st.warning("Unsupported file format.")
+
+# Suggested Questions
+st.subheader("💡 Suggested Questions:")
+cols = st.columns(len(suggested_questions))
+
+user_input = None  
+for i, q in enumerate(suggested_questions):
+    if cols[i].button(q):
+        user_input = q
+
+# Voice Input
+st.subheader("🎤 Speak instead of typing!")
+if st.button("🎙️ Use Voice Input"):
+    user_input = transcribe_audio()
+
+# 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},
+    )
+
+if user_input is None:
+    user_input = st.chat_input("Type your message here...")
+
+# Initialize chat history
+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
+
     response = get_best_response(user_input)
     log_chat(user_input, response)
+
     sentiment_result = analyze_sentiment(user_input)
-    
+
+    st.session_state.messages.append({"role": "user", "content": user_input})
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+    audio_file = text_to_speech(response)
+
     with st.chat_message("assistant"):
         st.write(f"{response}\n\n**Sentiment Analysis:** {sentiment_result}")
-        st.audio(text_to_speech(response), format="audio/mp3")
+        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")