| from transformers import AutoModelForCausalLM, AutoTokenizer |
| from flask import Flask, request, jsonify |
|
|
| app = Flask(__name__) |
|
|
| model_name = "vilm/vinallama-7b-chat" |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto") |
|
|
| @app.route("/generate", methods=["POST"]) |
| def generate(): |
| data = request.get_json() |
| prompt = data.get("prompt", "") |
| inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=1024) |
| outputs = model.generate(inputs.input_ids, max_length=512, pad_token_id=tokenizer.eos_token_id) |
| response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
| return jsonify({"response": response}) |
|
|
| if __name__ == "__main__": |
| app.run(host="0.0.0.0", port=7860) |
|
|
