Deploy new version

.github/workflows/deploy.yml

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+name: Deploy FastAPI to Hugging Face Spaces
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Install Hugging Face CLI
+        run: pip install huggingface_hub
+
+      - name: Authenticate with Hugging Face
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: huggingface-cli login --token "$HF_TOKEN"
+
+      - name: Clone Hugging Face Space
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: |
+          git clone https://user:[email protected]/spaces/Prathamesh1420/fastapi-chatbot
+          mv fastapi-chatbot hf_space
+          rsync -av --exclude=hf_space --exclude=.git ./ hf_space/
+          cd hf_space
+
+          # Set Git User Identity
+          git config --global user.email "[email protected]"
+          git config --global user.name "Prathamesh Khade"
+
+          git add .
+          git commit -m "Deploy new version"
+          git push

Docker

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+# Use Python official image
+FROM python:3.10
+
+# Set the working directory
+WORKDIR /app
+
+# Copy project files
+COPY . /app
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Expose the port FastAPI runs on
+EXPOSE 7860
+
+# Run the FastAPI app with Uvicorn
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,11 +1,2 @@
----
-title: Fastapi Chatbot
-emoji: 📚
-colorFrom: pink
-colorTo: indigo
-sdk: docker
-pinned: false
-short_description: project
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Hugging_face_with_docker
+Project

app/main.py

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+#import libraries 
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from transformers import pipeline
+import uvicorn
+
+# Initialize FastAPI app
+app = FastAPI()
+
+# Load the Hugging Face question-answering model
+qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+
+# Define request and response models
+class ChatRequest(BaseModel):
+    question: str
+    context: str
+
+class ChatResponse(BaseModel):
+    answer: str
+
+# Define the /chat endpoint
+@app.post("/chat", response_model=ChatResponse)
+async def chat(request: ChatRequest):
+    try:
+        result = qa_pipeline(question=request.question, context=request.context)
+        return ChatResponse(answer=result['answer'])
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+# Run the FastAPI server
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)

app/requirements.txt

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+fastapi 
+uvicorn 
+transformers 
+pydantic