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Dockerfile

@@ -0,0 +1,31 @@
+## Use the official Python 3.9 image
+FROM python:3.9
+
+## set the working directory to /code
+WORKDIR /code
+
+## Copy the current directory contents in the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+## Install the requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" 
+RUN useradd 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
+
+## Start the FASTAPI App on port 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+

README.md

@@ -1,13 +1,11 @@
 ---
-title: TextGenerator
-emoji: 🏆
-colorFrom: blue
-colorTo: purple
+title: Text2textwithDockers
+emoji: 🏃
+colorFrom: purple
+colorTo: red
 sdk: docker
 pinned: false
-license: apache-2.0
-app_file: app.py
-
+license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,26 +1,26 @@
-
-from fastapi import FastAPI
-from transformers import pipeline
-
-## create a new FASTAPI app instance
-app=FastAPI()
-
-# Initialize the text generation pipeline
-pipe = pipeline("text2text-generation", model="google/flan-t5-small")
-
-
-@app.get("/")
-def home():
-    return {"message":"Hello World"}
-
-# Define a function to handle the GET request at `/generate`
-
-
-@app.get("/generate")
-def generate(text:str):
-    ## use the pipeline to generate text from given input text
-    output=pipe(text)
-
-    ## return the generate text in Json reposne
-    return {"output":output[0]['generated_text']}
-
+from fastapi import FastAPI
+from transformers import pipeline
+
+## create a new FASTAPI app instance
+app=FastAPI()
+
+# Initialize the text generation pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+
+@app.get("/")
+def home():
+    return {"message":"Hello World"}
+
+# Define a function to handle the GET request at `/generate`
+
+
+@app.get("/generate")
+def generate(text:str):
+    ## use the pipeline to generate text from given input text
+    output=pipe(text)
+
+    ## return the generate text in Json reposne
+    return {"output":output[0]['generated_text']}
+
+

requirements.txt

@@ -1,6 +1,6 @@
-fastapi==0.74.*
-requests==2.27.*
-uvicorn[standard]==0.17.*
-sentencepiece==0.1.*
-torch==1.11.*
+fastapi==0.74.*
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
 transformers==4.*