app.py

import os
import streamlit as st
from googleapiclient.discovery import build
import speech_recognition as sr
import wikipediaapi
import datetime
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
import tempfile
from gtts import gTTS
import requests
import json
import pandas as pd
import altair as alt
from datetime import date
import pickle

# Set up YouTube API
API_KEY_YOUTUBE = os.getenv("YT")  # Replace with your YouTube Data API v3 key
youtube = build('youtube', 'v3', developerKey=API_KEY_YOUTUBE)

# Hugging Face Setup
HF_API_KEY = os.getenv("HF_API")
HF_MISTRAL_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"

def chat_with_mistral_hf(prompt):
    if not HF_API_KEY:
        return "Error: API key not found. Please set it in Hugging Face Secrets."
    
    headers = {"Authorization": f"Bearer {HF_API_KEY}"}
    payload = {"inputs": prompt, "parameters": {"max_length": 200, "temperature": 0.7}}
    
    response = requests.post(HF_MISTRAL_URL, json=payload, headers=headers)
    
    if response.status_code == 200:
        return response.json()[0]["generated_text"]
    else:
        return f"Error: {response.json()}"

# Function to search YouTube videos
def search_youtube(query, max_results=5):
    try:
        request = youtube.search().list(
            q=query,
            part='id,snippet',
            maxResults=max_results,
            type='video'
        )
        response = request.execute()
        
        videos = []
        for item in response['items']:
            video_id = item['id']['videoId']
            title = item['snippet']['title']
            thumbnail = item['snippet']['thumbnails']['default']['url']
            url = f'https://www.youtube.com/watch?v={video_id}'
            videos.append({'title': title, 'url': url, 'video_id': video_id, 'thumbnail': thumbnail})
        return videos
    except Exception as e:
        st.write(f"Error fetching videos: {e}")
        return []

# # Function for voice recognition
# # This feature is available only , when running locally 
# def voice_search():
#     recognizer = sr.Recognizer()
#     with sr.Microphone() as source:
#         st.write("Listening...")
#         audio = recognizer.listen(source)
#         try:
#             query = recognizer.recognize_google(audio)
#             st.success(f"You said: {query}")
#             return query
#         except sr.UnknownValueError:
#             st.error("Could not understand audio")
#             return ""
#         except sr.RequestError as e:
#             st.error(f"Could not request results from Google Speech Recognition service; {e}")
#             return ""

# Wikipedia summary function with character limit and summary levels
def get_wikipedia_summary(query, lang_code, char_limit, summary_level):
    user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
    wiki = wikipediaapi.Wikipedia(language=lang_code, extract_format=wikipediaapi.ExtractFormat.WIKI, user_agent=user_agent)
    page = wiki.page(query)
    if not page.exists():
        return "Page not found."
    if summary_level == "Brief":
        return page.summary[:char_limit]
    elif summary_level == "Detailed":
        return page.summary  # Full summary
    elif summary_level == "Bullet Points":
        points = page.summary.split('. ')
        return '\n'.join(f"- {p.strip()}" for p in points if p)[:char_limit]

# Save chat history as PDF with a user-defined filename
def save_chat_history_as_pdf(chat_history, file_name):
    timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
        pdf = canvas.Canvas(tmp_file.name, pagesize=letter)
        pdf.setTitle(file_name)
        pdf.drawString(30, 750, f"{file_name} - Saved on {timestamp}")
        y_position = 720
        for query, response in chat_history:
            pdf.drawString(30, y_position, f"User: {query}")
            y_position -= 20
            pdf.drawString(30, y_position, f"Bot: {response}")
            y_position -= 40
            if y_position < 40:
                pdf.showPage()
                y_position = 750
        pdf.save()
    return tmp_file.name

# Text-to-speech using gTTS
def text_to_speech(text, filename, lang="en"):
    tts = gTTS(text=text, lang=lang)
    tts.save(filename)
    return filename

# Function to perform Google Search
def google_search(api_key, cse_id, query, num_results=10):
    url = "https://www.googleapis.com/customsearch/v1"
    params = {'key': api_key, 'cx': cse_id, 'q': query, 'num': num_results}
    response = requests.get(url, params=params)
    return response.json()

# Display Google Search Results
def display_google_results(results):
    if "items" in results:
        for item in results['items']:
            st.write(f"**{item['title']}**")
            st.write(item['snippet'])
            st.write(f"[Read more]({item['link']})")
            st.write("---")
    else:
        st.error("No results found.")

# News Search Function
def search_news(query, from_date=None, to_date=None):
    api_key = os.getenv("NEWS_API")  # Replace with your News API key
    url = f"https://newsapi.org/v2/everything?q={query}&apiKey={api_key}"
    if from_date and to_date:
        url += f"&from={from_date}&to={to_date}"
    response = requests.get(url)
    return response.json()

# Display News Results
def display_news(articles):
    if "articles" in articles:
        for article in articles['articles']:
            st.write(f"**{article['title']}**")
            st.write(article['description'])
            st.write(f"[Read more]({article['url']})")
            st.write("---")
    else:
        st.error("No news articles found.")

# File to store shortcut data
DATA_FILE = "shortcuts_data.pkl"

def load_shortcuts():
    if os.path.exists(DATA_FILE):
        with open(DATA_FILE, "rb") as f:
            return pickle.load(f)
    return []

def save_shortcuts(shortcuts):
    with open(DATA_FILE, "wb") as f:
        pickle.dump(shortcuts, f)

if "shortcuts" not in st.session_state:
    st.session_state["shortcuts"] = load_shortcuts()


def main():
    st.set_page_config(page_title="Multi-Search Application", layout="wide")

        # **Show Saved Shortcuts**
    st.header("Multimodal Query Processing & Knowledge Retrieval Sys")
    with st.expander("Click to View Shortcuts"):
        if st.session_state.shortcuts:
            num_columns = 4
            cols = st.columns(num_columns)
            for i, (name, link, icon_data, user_password) in enumerate(st.session_state.shortcuts):
                col = cols[i % num_columns]
                with col:
                    st.image(icon_data, width=100)
                    st.markdown(f"[{name}]({link})", unsafe_allow_html=True)

                    password_input_delete = st.text_input("Enter Password to Delete", type="password", key=f"delete_password_{i}")

                    if password_input_delete == user_password:  
                        if st.button(f"Delete {name}", key=f"delete_{i}"):
                            st.session_state.shortcuts.pop(i)
                            save_shortcuts(st.session_state.shortcuts)
                            st.experimental_rerun()
                    elif password_input_delete:
                        st.warning("Incorrect password. You cannot delete this shortcut.")
        else:
            st.write("No shortcuts added yet.")

    st.markdown("Note: Add best web links for student education purposes.")

    # Initialize chat history if not present
    if "chat_history" not in st.session_state:
        st.session_state.chat_history = []

    # Sidebar options
    st.sidebar.title("Options")
    search_type = st.sidebar.radio("Select Search Type", ("Wikipedia", "Google", "YouTube", "News", "Chat"))

    # **Add this block after st.sidebar.title("Options")**
    st.sidebar.header("Only Add Best Web Links")
    name = st.sidebar.text_input("Shortcut Name")
    link = st.sidebar.text_input("Website Link (https://...)")
    icon_file = st.sidebar.file_uploader("Upload an Icon", type=["png", "jpg", "jpeg"])
    password_input_add = st.sidebar.text_input("Enter Password to Add Shortcut", type="password")

    if st.sidebar.button("Add Shortcut"):
        if password_input_add: 
            if name and link and icon_file:
                existing_links = [shortcut[1] for shortcut in st.session_state.shortcuts]
                if link in existing_links:
                    st.sidebar.warning("This website already exists.")
                else:
                    st.session_state.shortcuts.append((name, link, icon_file.getvalue(), password_input_add))
                    save_shortcuts(st.session_state.shortcuts)
                    st.sidebar.success(f"Shortcut '{name}' added!")
            else:
                st.sidebar.warning("Please enter all details including an icon.")
        else:
            st.sidebar.warning("Please enter a password to add the shortcut.")

            
    
    # if st.sidebar.button("Voice Search"):
    #     query = voice_search()
    #     if query:
    #         st.session_state.query = query
    # else:
    #     st.session_state.query = ""

    # Chat-specific sidebar settings
    chat_title = "Temporary Chat"
    if search_type == "Chat":
        chat_title = st.sidebar.text_input("Rename Chat:", "Temporary Chat")

    # Last seen timestamp
    st.sidebar.write(f"Last seen: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")

    if search_type == "Wikipedia":
        lang_map = {"English": "en", "Spanish": "es", "Chinese": "zh", "Hindi": "hi", "Telugu": "te"}
        selected_lang = st.sidebar.selectbox("Wikipedia Language", list(lang_map.keys()))
        summary_levels = ["Brief", "Detailed", "Bullet Points"]
        summary_level = st.sidebar.selectbox("Summarization Level", summary_levels)
        char_limit = st.sidebar.slider("Character Limit", min_value=100, max_value=2000, value=500, step=100)

        st.title("Wikipedia Summary & Text-to-Speech")
        query = st.text_input("Enter a topic to search on Wikipedia:", value=st.session_state.query)

        if query:
            lang_code = lang_map[selected_lang]
            summary = get_wikipedia_summary(query, lang_code, char_limit, summary_level)
            st.markdown(f"### Summary for: {query}")
            st.write(summary)

            tts_filename = f"{query}_speech.mp3"
            if st.button("Play Text-to-Speech"):
                text_to_speech(summary, tts_filename, lang=lang_code)
                st.audio(tts_filename, format="audio/mp3")

        st.write("---")
        st.write("### Footer")
        st.write("This is a Wikipedia search section. You can find detailed information and summaries here.")

    elif search_type == "Google":
        st.title("Google Search")
        query = st.text_input("Enter a search query for Google:", value=st.session_state.query)
        if query and st.button("Search"):
            results = google_search("AIzaSyBvnTpjwspsYBMlHN4nMEvybEmZL8mwAQ4", "464947c4e602c4ee8", query)
            display_google_results(results)

        st.write("---")
        st.write("### Footer")
        st.write("This is a Google search section. Use it to find websites and online resources.")

    elif search_type == "YouTube":
        st.title("YouTube Search")
        query = st.text_input("Enter a topic to search on YouTube:", value=st.session_state.query)
        if query and st.button("Search"):
            videos = search_youtube(query)
            if videos:
                for video in videos:
                    st.write(f"[{video['title']}]({video['url']})")
                    st.image(video['thumbnail'])
                    st.video(video['url'])
                    st.write("---")

        st.write("---")
        st.write("### Footer")
        st.write("This is a YouTube search section. Watch videos directly from your search results.")

    elif search_type == "News":
        st.subheader("Select Date Range")
        start_date = st.date_input("From", datetime.date.today() - datetime.timedelta(days=7))
        end_date = st.date_input("To", datetime.date.today())
        
        st.title("News Search")
        query = st.text_input("Enter a news topic to search:", value=st.session_state.query)
        if query and st.button("Search"):
            articles = search_news(query, start_date, end_date)
            display_news(articles)

        st.write("---")
        st.write("### Footer")
        st.write("This is a news search section. Find the latest news articles here.")

    elif search_type == "Chat":
        st.title(chat_title)
        
        for chat in st.session_state.chat_history:
            with st.chat_message(chat["role"]):
                st.write(chat["content"])

        user_input = st.text_input("Ask AI:")
        st.session_state.query = user_input  # Explicitly store the input


        if st.button("Generate Response"):
            if st.session_state.query and st.session_state.query.strip():
                with st.spinner("Generating response..."):
                    response = chat_with_mistral_hf(user_input)
                    
                    st.session_state.chat_history.append({"role": "user", "content": user_input})
                    st.session_state.chat_history.append({"role": "assistant", "content": response})
                    st.rerun()
            else:
                st.warning("Please enter a prompt before clicking Generate Response.")

    # Save chat history as PDF
    if st.button("Save Chat History as PDF"):
        chat_history = []
        if st.session_state.query:
            chat_history.append((st.session_state.query, "Your response here"))
        file_name = st.text_input("Enter filename for PDF:", "chat_history.pdf")
        pdf_file = save_chat_history_as_pdf(chat_history, file_name)
        st.success(f"Chat history saved as PDF: {pdf_file}")

if __name__ == "__main__":
    main()