Add application file

.gitignore

@@ -0,0 +1,40 @@
+# Ignore Python cache files
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+*.pyo
+*.pdb
+*.egg-info/
+*.log
+
+# Ignore virtual environments
+venv/
+env/
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Ignore local Hugging Face cache (to avoid unnecessary large files)
+.huggingface/
+.cache/
+datasets/
+
+# Ignore Docker build artifacts
+*.dockerignore
+*.tar
+*.img
+*.iso
+.DS_Store
+
+# Ignore Hugging Face Space build files
+logs/
+output/
+tmp/
+config.json
+hf-token
+
+# Ignore system files
+Thumbs.db
+.DS_Store
+.idea/
+.vscode/

Dockerfile

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+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -7,4 +7,15 @@ sdk: docker
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🚀 BART Summarization API
+
+This Hugging Face Space runs a FastAPI server with BART (facebook/bart-large-cnn) for text summarization.
+
+## 🛠 How to Use
+
+### 🔹 Make a Request
+
+```sh
+curl -X POST https://your-space-name.hf.space/summarize/ \
+     -H "Content-Type: application/json" \
+     -d '{"inputs": "Your text here"}'

Space.toml

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+[tool.huggingface]
+sdk = "docker"
+port = 7860

app.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import pipeline
+
+app = FastAPI()
+summarizer = pipeline("summarizer", model="facebook/bart-large-cnn")
+
+class SummarizationRequest(BaseModel):
+    inputs: str
+
+@app.post("/summarize")
+async def summarize_text(request: SummarizationRequest):
+    summary = summarizer(request.inputs, max_legth=200, min_length=30, do_sample=False)
+    return summary
+
+@app.get("/")
+def greet_json():
+    return {"message": "BART Summarizer API is running"}

requirements.txt

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+fastapi
+uvicorn[standard]
+torch
+transformers