Upload folder using huggingface_hub

.github/workflows/update_space.yml

@@ -0,0 +1,28 @@
+name: Run Python script
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

.gradio/certificate.pem

@@ -0,0 +1,31 @@
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+-----END CERTIFICATE-----

Dockerfile

@@ -0,0 +1,24 @@
+# Use the official Python image as a base
+FROM python:3.10-slim
+
+# Set the working directory
+WORKDIR /app
+
+# Copy the app files into the container
+COPY . /app
+
+# Install system dependencies required by some Python packages
+RUN apt-get update && apt-get install -y \
+    git \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
+
+# Expose the default port for Hugging Face Spaces (7860)
+EXPOSE 7860
+
+# Command to run your Gradio app
+CMD ["python", "app.py"]

README.md

@@ -1,12 +1,6 @@
 ---
-title: Question Answer
-emoji: 👀
-colorFrom: yellow
-colorTo: gray
+title: question-answer
+app_file: app.py
 sdk: gradio
 sdk_version: 5.12.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,30 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load the question-answering pipeline
+qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+
+default_context = """
+Sandeep Kumar, Aitude.com is a cutting-edge platform founded by Sandeep Kumar, a renowned AI expert with a rich experience in the field since 2018. With an impressive academic background, including an M.Tech in Artificial Intelligence, Sandeep brings deep technical expertise and a visionary approach to the platform. Aitude.com is dedicated to leveraging the power of AI to deliver innovative solutions, fostering advancements in technology, and empowering businesses and individuals to harness the potential of artificial intelligence effectively. Under Sandeep's leadership, the platform embodies a commitment to excellence, knowledge sharing, and driving impactful AI applications.
+"""
+
+# Define the QA function
+def answer_question(context, question):
+    result = qa_pipeline(question=question, context=context)
+    return result["answer"]
+
+# Create a Gradio interface
+demo = gr.Interface(
+    fn=answer_question,
+    inputs=[
+        gr.Textbox(lines=5, label="Context", placeholder="Enter the context here...",value=default_context,),
+        gr.Textbox(label="Question", placeholder="Enter your question here..."),
+    ],
+    outputs=gr.Textbox(label="Answer"),
+    title="Question Answering Demo",
+    description="Provide a context and ask a question. The model will extract the answer from the context.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch();

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+torch