initial commit

.gitignore

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+# Eclipse
+.classpath
+.project
+.settings/
+
+# Intellij
+.idea/
+*.iml
+*.iws
+
+# Mac
+.DS_Store
+
+# Maven
+log/
+target/
+src/main/resources/application-local.properties
+
+# Flask
+venv
+__pycache__

ChatController.py

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+from flask import Flask, request
+from flask_cors import CORS, cross_origin
+from ChatService import ChatService
+import torch
+
+app = Flask(__name__)
+CORS(app)
+
+gpu_count = torch.cuda.device_count()
+print('gpu_count', gpu_count)
+
+# chatService = ChatService()
+# chatService.load_model("ophycare/llama-2-7b-chat-ophycare-2")
+
+# @app.route("/chat", methods=['POST'])
+# @cross_origin(origin='*')
+# def hello_world():
+#     return chatService.generate_message(request.get_json())

ChatService.py

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+import os
+import torch
+import transformers
+
+os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+
+
+class ChatService:
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def load_model(model_name=""):
+        global tokenizer, pipeline
+
+        print("Loading " + model_name + "...")
+
+        # config
+        gpu_count = torch.cuda.device_count()
+        print('gpu_count', gpu_count)
+
+        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+        pipeline = transformers.pipeline(
+            task="text-generation",
+            model=model_name,
+            torch_dtype=torch.float16,
+            device_map="auto",
+        )
+
+    @staticmethod
+    def generate_message(req):
+        history = req["chat"]
+        assistant_name = req["assistant_name"] + ": "
+        system_message = req.get("system_message") if req.get("system_message") is not None else ""
+        temperature = req.get("temperature") if req.get("temperature") is not None else 1
+        top_p = req.get("top_p") if req.get("top_p") is not None else 1
+        top_k = req.get("top_k") if req.get("top_k") is not None else 10
+        max_length = req.get("max_length") if req.get("max_length") is not None else 1000
+        ending_tag = "[/INST]"
+
+        fulltext = "[INST] <<SYS>>" + system_message + "<</SYS>>" + "\n\n".join(
+            history) + "\n\n" + assistant_name + ending_tag
+
+        sequences = pipeline(
+            fulltext,
+            do_sample=True,
+            temperature=temperature,
+            top_k=top_k,
+            top_p=top_p,
+            num_return_sequences=1,
+            eos_token_id=tokenizer.eos_token_id,
+            max_length=max_length,
+        )
+
+        response = sequences[0]['generated_text'].split(ending_tag)[1].split(assistant_name)
+
+        response = response[1] if len(response) > 1 else response[0]
+
+        response = response.strip()
+
+        return response

Dockerfile

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+FROM nvidia/cuda:12.2.0-runtime-ubuntu20.04
+FROM nvcr.io/nvidia/pytorch:22.08-py3
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD gunicorn -b 0.0.0.0:7860 ChatController:app --timeout 700 && export HF_HOME="/path/.cache/huggingface" && export HF_DATASETS_CACHE="/path/.cache/huggingface/datasets" && export TRANSFORMERS_CACHE="/path/.cache/huggingface/models"
+
+# FROM python:3
+
+# RUN apt update
+# RUN apt-get -y install pciutils
+# RUN lspci -vnn | egrep 'VGA|3D'
+
+# # # RUN cat /etc/os-release
+
+# RUN useradd -ms /bin/bash admin
+# COPY . /app
+# WORKDIR /app
+# RUN chown -R admin:admin /app
+# RUN chmod 755 /app
+# USER admin
+# RUN pip install -r requirements.txt
+# CMD python train.py

LICENSE

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requirements.txt

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+numpy
+rouge_score
+transformers
+--extra-index-url https://download.pytorch.org/whl/cu113
+torch
+sentencepiece
+tokenizers
+accelerate
+flask
+flask_cors
+gunicorn
+urllib3==1.26.6