Remove all project files

.gitignore

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-__pycache__/
-*.py[cod]
-*$py.class
-.env
-.venv/
-venv/
-.env.local
-.DS_Store
-.idea/
-.vscode/

README.md

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----
-title: Technical Description Assistant
-emoji: 📝
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 5.0.0
-app_file: app.py
-pinned: false
----
-
-# Technical Description Assistant
-
-A zero-shot Hugging Face Space that helps developers turn rough project descriptions
-into clean, professional technical text.
-
-## What it does
-
-- Takes an informal project description as input
-- Uses a large language model (zero-shot, no fine-tuning) to rewrite it
-- Produces a clear, concise, and professional technical description
-
-## Tech stack
-
-- **UI**: Gradio
-- **Model**: `mistralai/Mistral-7B-Instruct-v0.2` via Hugging Face Inference API
-- **Hosting**: Hugging Face Spaces
-
-## Running locally
-
-```bash
-pip install -r requirements.txt
-python app.py
-```
-
-## Usage tips
-
-- Mention key technologies (e.g., Docker, Kubernetes, FastAPI, PostgreSQL)
-- Describe the main problem your project solves
-- Include how users or systems interact with it
-
-Example rough input:
-
-> This project uses docker and cloud stuff to run machines.
-
-Example improved output (approximate):
-
-> This project provides a containerized infrastructure, using Docker and cloud
-> services to orchestrate and run compute workloads reliably across machines.

app.py

@@ -1,139 +0,0 @@
-import huggingface_hub as _hf
-
-# Backwards-compat shim: some Gradio versions still import `HfFolder`
-# from `huggingface_hub`, but newer `huggingface_hub` removed it.
-# We recreate a minimal version so `from huggingface_hub import HfFolder` works.
-if not hasattr(_hf, "HfFolder"):
-    class HfFolder:  # type: ignore
-        """Minimal stand-in for deprecated huggingface_hub.HfFolder.
-
-        Only the token-related methods used by Gradio are implemented.
-        """
-
-        @staticmethod
-        def get_token() -> str | None:
-            try:
-                return _hf.get_token()
-            except Exception:
-                return None
-
-        @staticmethod
-        def save_token(token: str, *args, **kwargs) -> None:
-            try:
-                _hf.login(token=token)
-            except TypeError:
-                # Fallback for older/newer login signatures
-                _hf.login(token)
-
-        @staticmethod
-        def delete_token() -> None:  # Not strictly needed for Spaces
-            return None
-
-    _hf.HfFolder = HfFolder
-
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-# Zero-shot model hosted on Hugging Face Inference API
-MODEL_ID = "mistralai/Mistral-7B-Instruct-v0.2"
-client = InferenceClient(MODEL_ID)
-
-SYSTEM_PROMPT = """
-You are an AI assistant that rewrites software project descriptions.
-Your goal is to turn short, rough developer text into a clear, concise,
-and professional technical description.
-
-Guidelines:
-- Preserve all technical details and technologies mentioned.
-- Use neutral, professional tone (no marketing hype).
-- Improve grammar, clarity, and structure.
-- Prefer 2–5 sentences.
-- Do NOT repeat the original text verbatim.
-""".strip()
-
-
-def improve_description(user_input: str) -> str:
-    """Rewrite a rough project description in a professional, technical style."""
-    if not user_input or not user_input.strip():
-        return "Please enter a description to improve."
-
-    user_text = user_input.strip()
-    if len(user_text) < 10:
-        return "Please provide a bit more detail about your project."
-
-    messages = [
-        {"role": "system", "content": SYSTEM_PROMPT},
-        {
-            "role": "user",
-            "content": (
-                "Here is a rough project description written by a developer. "
-                "Rewrite it as a clear, concise, and professional technical description, "
-                "preserving all the technical meaning and technologies used.\n\n"
-                f"Original description:\n{user_text}"
-            ),
-        },
-    ]
-
-    try:
-        completion = client.chat_completion(
-            model=MODEL_ID,
-            messages=messages,
-            max_tokens=256,
-            temperature=0.3,
-            top_p=0.9,
-        )
-        improved = completion.choices[0].message["content"].strip()
-
-        # Simple safety check: avoid returning the exact same text
-        if improved.lower() == user_text.lower():
-            return "I couldn't improve this further. Please add more detail or context."
-
-        return improved
-    except Exception as e:
-        # Fallback message if the remote API fails for any reason
-        return (
-            "There was an issue contacting the language model service. "
-            "Please try again in a moment or simplify your description."
-        )
-
-
-with gr.Blocks(title="Technical Description Assistant") as demo:
-    gr.Markdown(
-        """
-        # 📝 Technical Description Assistant
-
-        Paste a rough project description, and this assistant will rewrite it
-        into a clear, professional technical description using a zero-shot
-        large language model hosted on Hugging Face.
-        """
-    )
-
-    with gr.Row():
-        with gr.Column():
-            input_text = gr.Textbox(
-                label="Your Description",
-                placeholder="Describe your project in your own words...",
-                lines=8,
-            )
-            submit_btn = gr.Button("✨ Improve Description", variant="primary")
-
-        with gr.Column():
-            output_text = gr.Textbox(
-                label="Professional Version",
-                lines=8,
-            )
-
-    gr.Markdown(
-        """
-        ### Example inputs
-        - "This is a web app that lets users upload pics and it uses AI to make them look better. Built with Python and some ML stuff."
-        - "Made a tool that checks code for bugs. It's really fast and works with multiple languages. Uses AST parsing."
-        - "API for weather data. Gets info from multiple sources and combines them. Has caching so it's faster."
-        """
-    )
-
-    submit_btn.click(improve_description, inputs=input_text, outputs=output_text)
-
-
-if __name__ == "__main__":
-    demo.launch()

requirements.txt

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-gradio==4.44.0
-huggingface_hub==0.20.3