Upload with huggingface_hub

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:3.8
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 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
+RUN pip install --no-cache-dir --upgrade -r $HOME/app/requirements.txt
+
+CMD ["workcell", "serve", "--config", "workcell.yaml", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+import os
+import openai
+from typing import Dict, List, Optional
+from pydantic import BaseModel, Field, SecretStr
+from utils.summarizer import get_analyze_result
+from workcell.integrations.types import MarkdownMixin
+
+
+class Input(BaseModel):
+    keywords: List[str] = Field(default=["name: weanalyze", "MIT", 'computer science', 'google'], max_items=20, 
+                                description="List of keyword to describe your education or work experience.")
+    openai_api_key: Optional[SecretStr] = Field(
+        ..., description="OpenAI API key, provide if you have, or use our default key (may reach tier limit)."
+    )
+
+def generate_resume(input: Input) -> MarkdownMixin:
+    """Returns a resume by several keywords, generated by OpenAI GPT3 API."""
+    openai.api_key = os.getenv('SECRET_OPENAI_WORKCELL_WEBPAGE_QA')
+    # return summarization
+    text = input.keywords
+    analyze = get_analyze_result(text)
+    output = MarkdownMixin(
+        data = analyze
+    )
+    return output

requirements.txt

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+workcell
+openai

utils/summarizer.py

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+import ast
+import openai
+
+# Prompt engineering
+def get_prompt(text):
+    prompt_prefix = """Generate a markdown format resume for me by those keywords: {}""" 
+    prompt = prompt_prefix.format(text)
+    return prompt
+
+# Chat completion
+def get_openai_chatcompletion(keywords):
+    """Get OpenAI Chat Completion result.
+    """
+    messages = []
+    processed_text = keywords
+    augmented_prompt = get_prompt(processed_text)
+    messages.append({"role":"user","content": augmented_prompt})
+    
+    try:
+        result = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=messages,
+            temperature=0.7
+        )
+    except:
+        raise
+    return result
+
+# Process result
+def get_analyze(result):
+    try:
+        analyze = result["choices"][0]["message"]["content"]
+    except:
+        raise    
+    return analyze
+
+def get_analyze_result(keywords):
+    result = get_openai_chatcompletion(keywords)
+    analyze = get_analyze(result)
+    return analyze
+    

workcell.yaml

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+workcell_name: generate_resume
+workcell_provider: huggingface
+workcell_id: weanalyze/generate_resume
+workcell_version: latest
+workcell_runtime: python3.8
+workcell_entrypoint: app:generate_resume
+workcell_code:
+  ImageUri: ''
+workcell_tags: {}
+workcell_envs: {}