Adding initial application, which will change significantly

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/waste.iml" filepath="$PROJECT_DIR$/.idea/waste.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

.idea/waste.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="WEB_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.tmp" />
+      <excludeFolder url="file://$MODULE_DIR$/temp" />
+      <excludeFolder url="file://$MODULE_DIR$/tmp" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

Dockerfile

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+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user
+ENV PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+COPY --chown=user . $HOME/app
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI
+from transformers import pipeline
+
+
+# NOTE - we configure docs_url to serve the interactive Docs at the root path
+# of the app. This way, we can use the docs as a landing page for the app on Spaces.
+app = FastAPI(docs_url="/")
+
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+
+@app.get("/generate")
+def generate(text: str):
+    """
+    Using the text2text-generation pipeline from `transformers`, generate text
+    from the given input text. The model used is `google/flan-t5-small`, which
+    can be found [here](https://huggingface.co/google/flan-t5-small).
+    """
+    output = pipe(text)
+    return {"output": output[0]["generated_text"]}

requirements.txt

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+annotated-types==0.6.0
+anyio==3.7.1
+certifi==2023.7.22
+charset-normalizer==3.3.2
+click==8.1.7
+exceptiongroup==1.1.3
+fastapi==0.104.1
+filelock==3.13.1
+fsspec==2023.10.0
+h11==0.14.0
+huggingface-hub==0.17.3
+idna==3.4
+Jinja2==3.1.2
+MarkupSafe==2.1.3
+mpmath==1.3.0
+networkx==3.2.1
+numpy==1.26.1
+nvidia-cublas-cu12==12.1.3.1
+nvidia-cuda-cupti-cu12==12.1.105
+nvidia-cuda-nvrtc-cu12==12.1.105
+nvidia-cuda-runtime-cu12==12.1.105
+nvidia-cudnn-cu12==8.9.2.26
+nvidia-cufft-cu12==11.0.2.54
+nvidia-curand-cu12==10.3.2.106
+nvidia-cusolver-cu12==11.4.5.107
+nvidia-cusparse-cu12==12.1.0.106
+nvidia-nccl-cu12==2.18.1
+nvidia-nvjitlink-cu12==12.3.52
+nvidia-nvtx-cu12==12.1.105
+packaging==23.2
+pydantic==2.4.2
+pydantic_core==2.10.1
+PyYAML==6.0.1
+regex==2023.10.3
+requests==2.31.0
+safetensors==0.4.0
+sentencepiece==0.1.99
+sniffio==1.3.0
+starlette==0.27.0
+sympy==1.12
+tokenizers==0.14.1
+torch==2.1.0
+tqdm==4.66.1
+transformers==4.35.0
+triton==2.1.0
+typing_extensions==4.8.0
+urllib3==2.0.7
+uvicorn==0.24.0.post1