Update app.py

app.py

@@ -1,27 +1,3 @@
-import requests
-from flask import Flask, render_template, request, send_from_directory
-from datetime import datetime
-from bs4 import BeautifulSoup
-
-app = Flask(__name__)
-with open('i.txt', 'r') as file:
-    data = file.read()
-
-API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
-headers = {"Authorization": f"Bearer hf{data}"}
-
-
-def query(payload):
-    response = requests.post(API_URL, headers=headers, json=payload)
-    return response.json()
-
-API_URLAR = "https://api-inference.huggingface.co/models/Helsinki-NLP/opus-mt-tc-big-en-ar"
-
-def queryar(ar):
-    response = requests.post(API_URLAR, headers=headers, json=ar)
-    return response.json()
-
-
 import telebot
 import requests
 
@@ -91,156 +67,4 @@ def echo_all(message):
     bot.reply_to(message, response_text)
     print(conversation_history)
 
-bot.polling()
-
-def generate_response(user_input):
-    bitcoin_price, current_time = get_bitcoin_price()
-    result = get_div_content(url)
-    new_query = {
-        "inputs": f"information about yourself: you are helpful assistant and your name is (Niron) , you are trained and proggramed by Mr.omar nuwara he is create you for btc trad and predicition start chat with user with use good Emojeis\n\nBtc Price Now :${bitcoin_price} date and time now: {current_time}\n\n Bitcoin history Tidy is (Date/open/high/low/close/adj close/Volume): {result}\n\nLast news:{news}\n\ntask:complete the reesponse:\n\nconversation history:{conversation_history}\n\nUser message:{user_input}\n\nmake sure to response about it and don't generate alot of words just based on the user message and Use Emojies\n\nresponse:",
-        "parameters": {
-            "top_k": 100,
-            "top_p": 0.9,
-            "temperature": 0.5,
-            "repetition_penalty": 1.2,
-            "max_new_tokens": 512,
-            "max_time": 0,
-            "return_full_text": True,
-            "num_return_sequences": 1,
-            "do_sample": False
-        },
-        "options": {
-            "use_cache": False,
-            "wait_for_model": False
-        }
-    }
-
-    output = query(new_query)
-
-    generated_text = output[0]['generated_text']
-
-    response_start = generated_text.find('response:') + len('response:')
-    response_end = generated_text.find('(end response)')
-
-    response_text = generated_text[response_start:response_end].strip()
-
-    note_index = response_text.find("Note:")
-    if note_index != -1:
-        response_text = response_text[:note_index].strip()
-
-    instruction_index = response_text.find("### Instruction:")
-    if instruction_index != -1:
-        response_text = response_text[:instruction_index].strip()
-    
-    response_text = response_text.strip().replace('\n', '<br>')
-
-    return response_text
-def get_bitcoin_price():
-    current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    url = 'https://api.coindesk.com/v1/bpi/currentprice.json'
-    response = requests.get(url)
-
-    if response.status_code == 200:
-        data = response.json()
-        bitcoin_price = data['bpi']['USD']['rate']
-        return bitcoin_price, current_time
-    
-
-
-@app.route('/assets/<path:path>')
-def send_static(path):
-    return send_from_directory('assets', path)
-
-
-@app.route('/')
-def index():
-    result = get_div_content(url)
-    news = get_news(url)
-    return render_template('admin.html')
-
-@app.route('/chat', methods=['POST'])
-def chat():
-    user_input = request.get_json()['user_input']
-    
-    # Generate AI response based on user input
-    response_text = generate_response(user_input)
-    conversation_history.append({"User": user_input, "NIRON": response_text})
-    
-    # Update bitcoin price and current time
-    bitcoin_price, current_time = get_bitcoin_price()
-
-    return response_text
-
-@app.route('/trans')
-def trans():
-    news = get_news(url)
-    result = get_div_content(url)
-
-    return render_template('arabic.html')
-
-
-@app.route('/arabic', methods=['POST'])
-def arabic():
-    user_input = request.get_json()['user_input']
-    
-    # Generate AI response based on user input
-    response_text = generate_response(user_input)
-    conversation_history.append({"User": user_input, "\nAI": response_text})    
-    # Translate the response to Arabic using the Hugging Face API
-    translation_payload = {
-        "inputs": response_text,
-    }
-    output = queryar(translation_payload)
-    
-    translated_response = output[0]['translation_text']
-    
-    # Append the conversation history
-
-    
-    # Update bitcoin price and current time
-    bitcoin_price, current_time = get_bitcoin_price()
-    
-    return translated_response
-
-def get_div_content(url):
-    response = requests.get(url)
-    soup = BeautifulSoup(response.content, 'html.parser')
-    
-    div_content = soup.find('div', {'id': '45'})
-    if div_content:
-        return div_content
-    else:
-        return None
-
-url = "https://dooratre-info.hf.space/?logs=container&__sign=eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sIm9uQmVoYWxmT2YiOnsia2luZCI6InVzZXIiLCJfaWQiOiI2NWIyYzMyNjJiZTk2NjBmMGIxMjg0MDAiLCJ1c2VyIjoiRG9vcmF0cmUifSwiaWF0IjoxNzEyNjgwNTY4LCJzdWIiOiIvc3BhY2VzL0Rvb3JhdHJlL2luZm8iLCJleHAiOjE3MTI3NjY5NjgsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.R_PX6Hw5SMheYTQWPGe1Qla9q8gVBU0mAFF_u8Iad06jSpZ9sPzZqquSowWn7PGVLRYBW21DnvqSwXIoNZ4CAA"
-
-result = get_div_content(url)
-print(result)
-
-
-
-@app.route('/clear_history')
-def clear_history():
-    global conversation_history
-    conversation_history = []
-    return 'Conversation history cleared successfully'
-
-
-
-def get_news(url):
-    response = requests.get(url)
-    soup = BeautifulSoup(response.content, "html.parser")
-
-    news = []
-    for text in soup.stripped_strings:
-        news.append(text)
-
-    return news
-
-url = "https://www.newsbtc.com/"
-news = get_news(url)
-print(news)
-    
-
-if __name__ == '__main__':
-    app.run(host="0.0.0.0",  port=7860)
+bot.polling()