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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)
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