Update app.py
Browse files
app.py
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@@ -2,25 +2,33 @@
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from flask import Flask, send_file, request, jsonify
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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from flask_cors import CORS # إضافة دعم CORS
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app = Flask(__name__)
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CORS(app) # تفعيل CORS للسماح بالاتصال
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# تحميل النموذج
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tokenizer =
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)
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def generate_response(prompt):
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"""Generate response from the model"""
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try:
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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@@ -40,14 +48,10 @@ def generate_response(prompt):
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@app.route('/')
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def home():
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return send_file('index.html')
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except Exception as e:
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print(f"خطأ في تحميل الصفحة: {str(e)}")
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return "خطأ في تحميل الصفحة"
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@app.route('/
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def
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try:
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data = request.json
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if not data:
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@@ -67,5 +71,6 @@ def message():
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print(f"خطأ في معالجة الرسالة: {str(e)}")
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return jsonify({"response": "عذراً، حدث خطأ في معالجة رسالتك"}), 500
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if __name__ ==
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from flask import Flask, send_file, request, jsonify
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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import gradio as gr
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app = Flask(__name__)
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# تحميل النموذج
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model = None
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tokenizer = None
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def load_model():
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global model, tokenizer
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if model is None:
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print("جاري تحميل النموذج...")
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tokenizer = AutoTokenizer.from_pretrained("amd/AMD-OLMo-1B")
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model = AutoModelForCausalLM.from_pretrained(
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"amd/AMD-OLMo-1B",
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torch_dtype=torch.float16,
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device_map="auto"
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)
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print("تم تحميل النموذج بنجاح!")
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def generate_response(prompt):
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"""Generate response from the model"""
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global model, tokenizer
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try:
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if model is None:
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load_model()
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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@app.route('/')
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def home():
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return send_file('index.html')
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@app.route('/api/chat', methods=['POST'])
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def chat():
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try:
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data = request.json
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if not data:
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print(f"خطأ في معالجة الرسالة: {str(e)}")
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return jsonify({"response": "عذراً، حدث خطأ في معالجة رسالتك"}), 500
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if __name__ == "__main__":
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# إذا كنت تريد تشغيل التطبيق محلياً
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app.run()
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