Update app.py

app.py

@@ -1,12 +1,163 @@
-from flask import Flask, render_template
-
+import requests
+from flask import Flask, render_template, request, send_from_directory
+from datetime import datetime
+from bs4 import BeautifulSoup
+from googletrans import Translator
 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()
+
+conversation_history = []
+
+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 display_info():
-    with open('info.txt', 'r') as file:
-        info = file.read().replace('\n', '<br>')
-    return render_template('index.html', info=info)
+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)
+    
+    # Translate the response to Arabic
+    translator = Translator()
+    translated_response = translator.translate(response_text, dest='ar').text
+    
+    conversation_history.append({"User": user_input, "AI": response_text})
+    
+    # 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)