Change to Gradio

Dockerfile

@@ -13,5 +13,18 @@ RUN pip install -r requirements.txt
 # 公开 Gradio 默认的端口 7860
 EXPOSE 7860
 
-# 使用 Uvicorn 启动应用，并监听 0.0.0.0:7860
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -3,6 +3,9 @@ from fastapi import FastAPI
 from pydantic import BaseModel
 from fastapi.middleware.wsgi import WSGIMiddleware
 
+
+from transformers import pipeline
+
 app = FastAPI()  # 创建 FastAPI 应用
 
 # 定义请求模型
@@ -11,7 +14,20 @@ class TextRequest(BaseModel):
 
 # 定义两个 API 路由处理函数
 @app.post("/api/aaa")
-async def api_aaa(request: TextRequest):
+async def api_aaa_post(request: TextRequest):
+    result = request.text + 'aaa'
+    return {"result": result}
+
+# 定义两个 API 路由处理函数
+@app.post("/aaa")
+async def aaa(request: TextRequest):
+    result = request.text + 'aaa'
+    return {"result": result}
+
+
+# 定义两个 API 路由处理函数
+@app.get("/aaa")
+async def api_aaa_get(request: TextRequest):
     result = request.text + 'aaa'
     return {"result": result}
 
@@ -20,12 +36,21 @@ async def api_bbb(request: TextRequest):
     result = request.text + 'bbb'
     return {"result": result}
 
+
+pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/infer_t5")
+def t5_get(input):
+    output = pipe_flan(input)
+    return {"output": output[0]["generated_text"]}
+
+
+@app.post("/infer_t5")
+def t5_post(input):
+    output = pipe_flan(input)
+    return {"output": output[0]["generated_text"]}
+
 @app.get("/")
 async def root():
     return {"message": "Welcome to the API. Use /api/aaa or /api/bbb for processing."}
 
-# 启动应用，使用环境变量指定的端口
-if __name__ == "__main__":
-    import uvicorn
-    port = int(os.getenv("PORT", 7860))  # 获取 PORT 环境变量
-    uvicorn.run(app, host="0.0.0.0", port=port)

requirements.txt

@@ -1,4 +1,3 @@
-gradio
 transformers
 akshare
 blis==0.7.11
@@ -6,5 +5,9 @@ spacy==3.7.5
 gensim
 numpy
 gensim
-fastapi
-uvicorn
+fastapi==0.74.*
+requests==2.27.*
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*
+uvicorn[standard]==0.17.*