Create app.py

app.py

@@ -0,0 +1,52 @@
+from flask import Flask, jsonify, request
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+def format_prompt(message, history):
+  prompt = "<s>"
+  for user_prompt, bot_response in history:
+    prompt += f"[INST] {user_prompt} [/INST]"
+    prompt += f" {bot_response}</s> "
+  prompt += f"[INST] {message} [/INST]"
+  return prompt
+
+def generate(
+    prompt, history, temperature=0.2, max_new_tokens=2000, top_p=0.95, repetition_penalty=1.0,
+):
+    temperature = float(temperature)
+    if temperature < 1e-2:
+        temperature = 1e-2
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = format_prompt(prompt, history)
+
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        yield response.token.text
+
+app = Flask(__name__)
+
+@app.route('/health', methods=['GET'])
+def health():
+    return jsonify({"status": "ok"})
+
+@app.route('/completion', methods=['POST'])
+def search_route():
+    data = request.get_json()
+    prompt = data.get('prompt', '')
+    
+
+if __name__ == '__main__':
+    app.run(debug=False, host='0.0.0.0', port=7860, threaded=False)