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Upload folder using huggingface_hub

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Files changed (4) hide show
  1. README.md +6 -6
  2. requirements.txt +2 -0
  3. run.ipynb +1 -0
  4. run.py +34 -0
README.md CHANGED
@@ -1,12 +1,12 @@
 
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  ---
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- title: Chatinterface Options Main
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- emoji: 🐨
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- colorFrom: purple
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  colorTo: indigo
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  sdk: gradio
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  sdk_version: 5.6.0
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- app_file: app.py
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  pinned: false
 
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  ---
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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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+
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  ---
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+ title: chatinterface_options_main
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+ emoji: 🔥
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+ colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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  sdk_version: 5.6.0
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+ app_file: run.py
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  pinned: false
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+ hf_oauth: true
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  ---
 
 
requirements.txt ADDED
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+ gradio-client @ git+https://github.com/gradio-app/gradio@369a44e7f8c829b3c0e21830d3c2e92b89b4c243#subdirectory=client/python
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+ https://gradio-pypi-previews.s3.amazonaws.com/369a44e7f8c829b3c0e21830d3c2e92b89b4c243/gradio-5.6.0-py3-none-any.whl
run.ipynb ADDED
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+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatinterface_options"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "example_code = \"\"\"\n", "Here's the code I generated:\n", "\n", "```python\n", "def greet(x):\n", " return f\"Hello, {x}!\"\n", "```\n", "\n", "Is this correct?\n", "\"\"\"\n", "\n", "def chat(message, history):\n", " if message == \"Yes, that's correct.\":\n", " return \"Great!\"\n", " else:\n", " return {\n", " \"role\": \"assistant\",\n", " \"content\": example_code,\n", " \"options\": [\n", " {\"value\": \"Yes, that's correct.\", \"label\": \"Yes\"},\n", " {\"value\": \"No\"}\n", " ]\n", " }\n", "\n", "demo = gr.ChatInterface(\n", " chat,\n", " type=\"messages\",\n", " examples=[\"Write a Python function that takes a string and returns a greeting.\"]\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py ADDED
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+ import gradio as gr
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+
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+ example_code = """
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+ Here's the code I generated:
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+
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+ ```python
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+ def greet(x):
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+ return f"Hello, {x}!"
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+ ```
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+
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+ Is this correct?
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+ """
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+
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+ def chat(message, history):
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+ if message == "Yes, that's correct.":
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+ return "Great!"
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+ else:
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+ return {
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+ "role": "assistant",
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+ "content": example_code,
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+ "options": [
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+ {"value": "Yes, that's correct.", "label": "Yes"},
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+ {"value": "No"}
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+ ]
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+ }
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+
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+ demo = gr.ChatInterface(
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+ chat,
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+ type="messages",
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+ examples=["Write a Python function that takes a string and returns a greeting."]
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+ )
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+
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+ if __name__ == "__main__":
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+ demo.launch()