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Browse files- .env +2 -0
- README.md +2 -8
- app.py +33 -0
- linkedin.pdf +0 -0
- summary.txt +2 -0
.env
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OPENAI_API_KEY=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
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DEEPSEEK_API_KEY=sk-108af85cd4d747dd88e3d445ddcad8cc
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README.md
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---
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title:
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version: 5.33.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: homepage
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app_file: app.py
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sdk: gradio
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sdk_version: 5.33.0
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---
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app.py
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from dotenv import load_dotenv
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from openai import OpenAI
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from pypdf import PdfReader
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import gradio as gr
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client = OpenAI(api_key="sk-108af85cd4d747dd88e3d445ddcad8cc", base_url="https://api.deepseek.com")
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load_dotenv(override=True)
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openai = OpenAI()
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reader = PdfReader("/Users/liang/projects/agents/homepage/linkedin.pdf")
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linkedin = ""
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for page in reader.pages:
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text = page.extract_text()
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if text:
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linkedin += text
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with open("/Users/liang/projects/agents/homepage/summary.txt", "r", encoding="utf-8") as f:
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summary = f.read()
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name = "Ed Donner"
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system_prompt = f"You are acting as {name}. You are answering questions on {name}'s website, \
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particularly questions related to {name}'s career, background, skills and experience. \
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Your responsibility is to represent {name} for interactions on the website as faithfully as possible. \
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You are given a summary of {name}'s background and LinkedIn profile which you can use to answer questions. \
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Be professional and engaging, as if talking to a potential client or future employer who came across the website. \
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If you don't know the answer, say so."
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system_prompt += f"\n\n## Summary:\n{summary}\n\n## LinkedIn Profile:\n{linkedin}\n\n"
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system_prompt += f"With this context, please chat with the user, always staying in character as {name}."
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def chat(message, history):
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messages = [{"role": "system", "content": system_prompt}] + history + [{"role": "user", "content": message}]
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response = client.chat.completions.create(model="deepseek-chat", messages=messages)
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return response.choices[0].message.content
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gr.ChatInterface(chat, type="messages").launch(share=True)
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linkedin.pdf
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Binary file (69.7 kB). View file
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summary.txt
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My name is Ed Donner. I'm an entrepreneur, software engineer and data scientist. I'm originally from London, England, but I moved to NYC in 2000.
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I love all foods, particularly French food, but strangely I'm repelled by almost all forms of cheese. I'm not allergic, I just hate the taste! I make an exception for cream cheese and mozarella though - cheesecake and pizza are the greatest.
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