Update app.py
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app.py
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import
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from typing import Optional
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from flask import Flask, jsonify, request
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from webscout import WEBS
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import requests
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app = Flask(__name__)
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def search_maps():
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query = request.args.get('q', '')
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place = request.args.get('place', None)
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max_results = request.args.get('max_results', 10, type=int)
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WEBS_instance = WEBS()
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results = []
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with WEBS() as webs:
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for result in enumerate(WEBS_instance.maps(query, place=place, max_results=max_results)):
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results.append(result)
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return jsonify({'results': results})
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@app.route('/api/translate', methods=['GET'])
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def translate_text():
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query = request.args.get('q', '')
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to_lang = request.args.get('to', 'en')
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WEBS_instance = WEBS()
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with WEBS() as webs:
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translation = enumerate(WEBS_instance.translate(query, to=to_lang))
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return jsonify({'translation': translation})
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@app.route('/api/suggestions', methods=['GET'])
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def search_suggestions():
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query = request.args.get('q', '')
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if not query:
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return jsonify({'error': 'Query parameter missing'})
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results = []
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try:
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with WEBS() as webs:
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for result in webs.suggestions(query):
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results.append(result)
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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return jsonify({'results': results})
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@app.route('/api/health', methods=['GET'])
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def health_check():
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return jsonify({'status': 'working'})
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if __name__ == '__main__':
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app.run()
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from flask import Flask, request, jsonify
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import requests
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from typing import List, Dict, Union
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import json
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app = Flask(__name__)
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models = ['cognitivecomputations/dolphin-2.6-mixtral-8x7b', 'databricks/dbrx-instruct', 'google/gemma-1.1-7b-it', 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1', 'lizpreciatior/lzlv_70b_fp16_hf', 'meta-llama/Meta-Llama-3-70B-Instruct', 'meta-llama/Meta-Llama-3-8B-Instruct', 'microsoft/WizardLM-2-7B', 'microsoft/WizardLM-2-8x22B', 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mixtral-8x22B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'openchat/openchat-3.6-8b']
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class LLM:
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def __init__(self, model: str):
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self.model = model
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self.conversation_history = [{"role": "system", "content": "You are a Helpful AI."}]
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def chat(self, messages: List[Dict[str, str]], system_message: str = None) -> Union[str, None]:
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if system_message is not None:
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self.conversation_history.insert(0, {"role": "system", "content": system_message})
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all_messages = self.conversation_history + messages
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url = "https://api.deepinfra.com/v1/openai/chat/completions"
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
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'Accept-Language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'Cache-Control': 'no-cache',
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'Connection': 'keep-alive',
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'Content-Type': 'application/json',
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'Origin': 'https://deepinfra.com',
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'Pragma': 'no-cache',
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'Referer': 'https://deepinfra.com/',
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'Sec-Fetch-Dest': 'empty',
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'Sec-Fetch-Mode': 'cors',
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'Sec-Fetch-Site': 'same-site',
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'X-Deepinfra-Source': 'web-embed',
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'accept': 'text/event-stream',
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'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"'
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}
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data = json.dumps(
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{
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'model': self.model,
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'messages': all_messages,
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'temperature': 0.7,
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'max_tokens': 8028,
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'stop': [],
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'stream': False
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}, separators=(',', ':')
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)
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try:
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result = requests.post(url=url, data=data, headers=headers)
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return result.json()['choices'][0]['message']['content']
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except:
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return None
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def GenerativeIO(text, Model, System_Prompt):
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llm = LLM(model=Model)
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messages = [
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{"role": "system", "content": text},
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{"role": "user", "content": System_Prompt}
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]
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response = llm.chat(messages)
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return response
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@app.route('/generate', methods=['POST'])
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def generate():
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data = request.get_json()
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text = data.get('text')
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Model = data.get('Model')
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System_Prompt = data.get('System_Prompt')
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response = GenerativeIO(text, Model, System_Prompt)
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return jsonify({'response': response})
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@app.route('/models', methods=['GET'])
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def get_models():
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return jsonify(models)
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if __name__ == '__main__':
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app.run(debug=True)
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