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import requests
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import json
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def fetch_ai_response():
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url = "https://api.deepinfra.com/v1/openai/chat/completions"
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headers = {
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"Accept-Language": "fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7",
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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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"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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"User-Agent": "Mozilla/5.0 (Linux; Android 11.0; Surface Duo) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Mobile Safari/537.36",
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"X-Deepinfra-Source": "model-embed",
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"accept": "text/event-stream",
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"sec-ch-ua": "\"Chromium\";v=\"128\", \"Not;A=Brand\";v=\"24\", \"Google Chrome\";v=\"128\"",
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"sec-ch-ua-mobile": "?1",
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"sec-ch-ua-platform": "\"Android\""
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}
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data = {
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"model": "meta-llama/Meta-Llama-3.1-405B-Instruct",
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"messages": [{"role": "user", "content": "c'est quoi un trou noir ?"}],
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"temperature": 0.1,
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"max_tokens": 100000,
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"stream": True
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}
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response = requests.post(url, headers=headers, json=data, stream=True)
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if response.status_code != 200:
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print(f"Erreur lors de la requête : {response.status_code}")
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return
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full_text = []
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output_size = 0
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for line in response.iter_lines():
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if line:
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try:
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decoded_line = line.decode('utf-8')
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if decoded_line.startswith('data:'):
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json_data = decoded_line[5:].strip()
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if json_data == '[DONE]':
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break
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parsed_data = json.loads(json_data)
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choices = parsed_data.get("choices", [])
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for choice in choices:
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delta = choice.get("delta", {})
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content = delta.get("content", "")
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if content:
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full_text.append(content)
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output_size += len(content)
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except json.JSONDecodeError:
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continue
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complete_text = ''.join(full_text)
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print(complete_text)
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if __name__ == "__main__":
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fetch_ai_response() |
