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awacke1 commited on Nov 27

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Create app.py

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+import streamlit as st
+import anthropic
+import openai
+import base64
+from datetime import datetime
+import plotly.graph_objects as go
+import cv2
+import glob
+import json
+import math
+import os
+import pytz
+import random
+import re
+import requests
+import streamlit.components.v1 as components
+import textract
+import time
+import zipfile
+from audio_recorder_streamlit import audio_recorder
+from bs4 import BeautifulSoup
+from collections import deque
+from dotenv import load_dotenv
+from gradio_client import Client, handle_file
+from huggingface_hub import InferenceClient
+from io import BytesIO
+from moviepy.editor import VideoFileClip
+from PIL import Image
+from PyPDF2 import PdfReader
+from urllib.parse import quote
+from xml.etree import ElementTree as ET
+from openai import OpenAI
+# Configuration and Setup
+Site_Name = '🚲BikeAI🏆 Claude and GPT Multi-Agent Research AI'
+title = "🚲BikeAI🏆 Claude and GPT Multi-Agent Research AI"
+helpURL = 'https://huggingface.co/awacke1'
+bugURL = 'https://huggingface.co/spaces/awacke1'
+icons = '🚲🏆'
+st.set_page_config(
+    page_title=title,
+    page_icon=icons,
+    layout="wide",
+    initial_sidebar_state="auto",
+    menu_items={
+        'Get Help': helpURL,
+        'Report a bug': bugURL,
+        'About': title
+    }
+)
+# Load environment variables and initialize clients
+load_dotenv()
+# OpenAI setup
+openai.api_key = os.getenv('OPENAI_API_KEY')
+if openai.api_key == None:
+    openai.api_key = st.secrets['OPENAI_API_KEY']
+openai_client = OpenAI(
+    api_key=os.getenv('OPENAI_API_KEY'),
+    organization=os.getenv('OPENAI_ORG_ID')
+)
+# Claude setup
+anthropic_key = os.getenv("ANTHROPIC_API_KEY_3")
+if anthropic_key == None:
+    anthropic_key = st.secrets["ANTHROPIC_API_KEY"]
+claude_client = anthropic.Anthropic(api_key=anthropic_key)
+# Initialize session states
+if 'transcript_history' not in st.session_state:
+    st.session_state.transcript_history = []
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-4o-2024-05-13"
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+if 'last_voice_input' not in st.session_state:
+    st.session_state.last_voice_input = ""
+# Speech Recognition HTML Component
+speech_recognition_html = """
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Continuous Speech Demo</title>
+    <style>
+        body {
+            font-family: sans-serif;
+            padding: 20px;
+            max-width: 800px;
+            margin: 0 auto;
+        }
+        button {
+            padding: 10px 20px;
+            margin: 10px 5px;
+            font-size: 16px;
+        }
+        #status {
+            margin: 10px 0;
+            padding: 10px;
+            background: #e8f5e9;
+            border-radius: 4px;
+        }
+        #output {
+            white-space: pre-wrap;
+            padding: 15px;
+            background: #f5f5f5;
+            border-radius: 4px;
+            margin: 10px 0;
+            min-height: 100px;
+            max-height: 400px;
+            overflow-y: auto;
+        }
+        .controls {
+            margin: 10px 0;
+        }
+    </style>
+</head>
+<body>
+    <div class="controls">
+        <button id="start">Start Listening</button>
+        <button id="stop" disabled>Stop Listening</button>
+        <button id="clear">Clear Text</button>
+    </div>
+    <div id="status">Ready</div>
+    <div id="output"></div>
+    <script>
+        if (!('webkitSpeechRecognition' in window)) {
+            alert('Speech recognition not supported');
+        } else {
+            const recognition = new webkitSpeechRecognition();
+            const startButton = document.getElementById('start');
+            const stopButton = document.getElementById('stop');
+            const clearButton = document.getElementById('clear');
+            const status = document.getElementById('status');
+            const output = document.getElementById('output');
+            let fullTranscript = '';
+            let lastUpdateTime = Date.now();
+            // Configure recognition
+            recognition.continuous = true;
+            recognition.interimResults = true;
+            // Function to start recognition
+            const startRecognition = () => {
+                try {
+                    recognition.start();
+                    status.textContent = 'Listening...';
+                    startButton.disabled = true;
+                    stopButton.disabled = false;
+                } catch (e) {
+                    console.error(e);
+                    status.textContent = 'Error: ' + e.message;
+                }
+            };
+            // Auto-start on load
+            window.addEventListener('load', () => {
+                setTimeout(startRecognition, 1000);
+            });
+            startButton.onclick = startRecognition;
+            stopButton.onclick = () => {
+                recognition.stop();
+                status.textContent = 'Stopped';
+                startButton.disabled = false;
+                stopButton.disabled = true;
+            };
+            clearButton.onclick = () => {
+                fullTranscript = '';
+                output.textContent = '';
+                window.parent.postMessage({
+                    type: 'clear_transcript',
+                }, '*');
+            };
+            recognition.onresult = (event) => {
+                let interimTranscript = '';
+                let finalTranscript = '';
+                for (let i = event.resultIndex; i < event.results.length; i++) {
+                    const transcript = event.results[i][0].transcript;
+                    if (event.results[i].isFinal) {
+                        finalTranscript += transcript + '\\n';
+                    } else {
+                        interimTranscript += transcript;
+                    }
+                }
+                if (finalTranscript || (Date.now() - lastUpdateTime > 5000)) {
+                    if (finalTranscript) {
+                        fullTranscript += finalTranscript;
+                        // Send to Streamlit
+                        window.parent.postMessage({
+                            type: 'final_transcript',
+                            text: finalTranscript
+                        }, '*');
+                    }
+                    lastUpdateTime = Date.now();
+                }
+                output.textContent = fullTranscript + (interimTranscript ? '... ' + interimTranscript : '');
+                output.scrollTop = output.scrollHeight;
+            };
+            recognition.onend = () => {
+                if (!stopButton.disabled) {
+                    try {
+                        recognition.start();
+                        console.log('Restarted recognition');
+                    } catch (e) {
+                        console.error('Failed to restart recognition:', e);
+                        status.textContent = 'Error restarting: ' + e.message;
+                        startButton.disabled = false;
+                        stopButton.disabled = true;
+                    }
+                }
+            };
+            recognition.onerror = (event) => {
+                console.error('Recognition error:', event.error);
+                status.textContent = 'Error: ' + event.error;
+                if (event.error === 'not-allowed' || event.error === 'service-not-allowed') {
+                    startButton.disabled = false;
+                    stopButton.disabled = true;
+                }
+            };
+        }
+    </script>
+</body>
+</html>
+"""
+# Helper Functions
+def generate_filename(prompt, file_type):
+    central = pytz.timezone('US/Central')
+    safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
+    replaced_prompt = re.sub(r'[<>:"/\\|?*\n]', ' ', prompt)
+    safe_prompt = re.sub(r'\s+', ' ', replaced_prompt).strip()[:230]
+    return f"{safe_date_time}_{safe_prompt}.{file_type}"
+# [Previous helper functions remain the same]
+# ... [Include all the helper functions from the second file]
+def main():
+    st.sidebar.markdown("### 🚲BikeAI🏆 Claude and GPT Multi-Agent Research AI")
+    # Main navigation
+    tab_main = st.radio("Choose Action:",
+                        ["🎤 Voice Input", "💬 Chat", "📸 Media Gallery", "🔍 Search ArXiv", "📝 File Editor"],
+                        horizontal=True)
+    if tab_main == "🎤 Voice Input":
+        st.subheader("Voice Recognition")
+        # Display speech recognition component
+        speech_component = st.components.v1.html(speech_recognition_html, height=400)
+        # Handle speech recognition output
+        if speech_component:
+            try:
+                data = speech_component
+                if isinstance(data, dict):
+                    if data.get('type') == 'final_transcript':
+                        text = data.get('text', '').strip()
+                        if text:
+                            st.session_state.last_voice_input = text
+                            # Process voice input with AI
+                            st.subheader("AI Response to Voice Input:")
+                            col1, col2, col3 = st.columns(3)
+                            with col2:
+                                st.write("Claude-3.5 Sonnet:")
+                                try:
+                                    claude_response = process_with_claude(text)
+                                except:
+                                    st.write('Claude 3.5 Sonnet out of tokens.')
+                            with col1:
+                                st.write("GPT-4o Omni:")
+                                try:
+                                    gpt_response = process_with_gpt(text)
+                                except:
+                                    st.write('GPT 4o out of tokens')
+                            with col3:
+                                st.write("Arxiv and Mistral Research:")
+                                with st.spinner("Searching ArXiv..."):
+                                    results = perform_ai_lookup(text)
+                                    st.markdown(results)
+                    elif data.get('type') == 'clear_transcript':
+                        st.session_state.last_voice_input = ""
+                        st.experimental_rerun()
+            except Exception as e:
+                st.error(f"Error processing voice input: {e}")
+        # Display last voice input
+        if st.session_state.last_voice_input:
+            st.text_area("Last Voice Input:", st.session_state.last_voice_input, height=100)
+    # [Rest of the main function remains the same]
+    elif tab_main == "💬 Chat":
+        # [Previous chat interface code]
+        pass
+    elif tab_main == "📸 Media Gallery":
+        create_media_gallery()
+    elif tab_main == "🔍 Search ArXiv":
+        query = st.text_input("Enter your research query:")
+        if query:
+            with st.spinner("Searching ArXiv..."):
+                results = search_arxiv(query)
+                st.markdown(results)
+    elif tab_main == "📝 File Editor":
+        if hasattr(st.session_state, 'current_file'):
+            st.subheader(f"Editing: {st.session_state.current_file}")
+            new_content = st.text_area("Content:", st.session_state.file_content, height=300)
+            if st.button("Save Changes"):
+                with open(st.session_state.current_file, 'w', encoding='utf-8') as file:
+                    file.write(new_content)
+                st.success("File updated successfully!")
+    # Always show file manager in sidebar
+    display_file_manager()
+if __name__ == "__main__":
+    main()