Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+from scraper import scrape_website
+from googletrans import Translator
+from gtts import gTTS
+import speech_recognition as sr
+from langdetect import detect
+from io import BytesIO
+from pydub import AudioSegment
+import os
+
+# Initialize components
+translator = Translator()
+qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased")
+
+# Function to process text-based interaction
+def process_text(user_input, context, lang):
+    try:
+        # Translate to English for the model
+        translated_input = translator.translate(user_input, src=lang, dest='en').text
+        answer = qa_pipeline({'question': translated_input, 'context': context})['answer']
+        # Translate answer back to user's language
+        translated_answer = translator.translate(answer, src='en', dest=lang).text
+        return translated_answer
+    except Exception as e:
+        return f"Error: {e}"
+
+# Function to process voice input
+def process_voice(file, context):
+    recognizer = sr.Recognizer()
+    audio = sr.AudioFile(file)
+    with audio as source:
+        audio_data = recognizer.record(source)
+    user_input = recognizer.recognize_google(audio_data)
+    lang = detect(user_input)
+    return process_text(user_input, context, lang)
+
+# Streamlit UI
+st.title("Multilingual Chatbot with Web Scraping")
+st.sidebar.title("Options")
+
+# Scraping options
+url = st.sidebar.text_input("Enter a website URL to scrape:")
+if st.sidebar.button("Scrape Website"):
+    context = scrape_website(url)
+    st.sidebar.success("Website content scraped successfully!")
+else:
+    context = "No content available. Please scrape a website first."
+
+# Interaction options
+st.subheader("Chat with the Bot")
+mode = st.radio("Choose interaction mode:", ["Text", "Voice"])
+
+if mode == "Text":
+    user_input = st.text_input("Enter your query:")
+    if st.button("Ask"):
+        lang = detect(user_input)
+        response = process_text(user_input, context, lang)
+        st.write(f"Bot: {response}")
+
+elif mode == "Voice":
+    uploaded_file = st.file_uploader("Upload a voice file (WAV format):", type="wav")
+    if uploaded_file and st.button("Ask"):
+        response = process_voice(uploaded_file, context)
+        st.write(f"Bot: {response}")
+
+# Voice Output
+if st.button("Play Response as Voice"):
+    if response:
+        tts = gTTS(text=response, lang=lang)
+        audio_file = BytesIO()
+        tts.write_to_fp(audio_file)
+        st.audio(audio_file.getvalue(), format="audio/mp3")
+    else:
+        st.warning("No response to play!")
+