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| import json | |
| import os | |
| import tempfile | |
| import gradio as gr | |
| from huggingface_hub import HfApi | |
| inputs_description = """This is a description of the inputs that the prompt expects. | |
| {{input_var}}: {{Description}} | |
| ... | |
| """ | |
| usage_description = """Below is a code snippet for how to use the prompt. | |
| ``` | |
| {{Code snippet}} | |
| ``` | |
| """ | |
| input_variables_description = "Comma-separated list of input variables. E.g. question,name" | |
| template_description = "Imagine you're a teacher called {name}. A student asks the following question: {question}. What do you answer?" | |
| api = HfApi() | |
| def submit(name, description, inputs_description, usage_description, input_variables, template, token): | |
| variables = input_variables.split(",") | |
| card = f""" | |
| --- | |
| tags: | |
| - langchain | |
| - prompt | |
| --- | |
| # Description of {name} | |
| {description} | |
| ## Inputs | |
| {inputs_description} | |
| ## Usage | |
| {usage_description} | |
| """ | |
| with tempfile.TemporaryDirectory() as tmpdir: | |
| with open(os.path.join(tmpdir, "prompt.json"), "w") as f: | |
| data = { | |
| 'input_variables': variables, | |
| 'output_parser': None, | |
| "template": template, | |
| "template_format": "f-string" | |
| } | |
| json.dump(data, f) | |
| with open(os.path.join(tmpdir, "README.md"), "w") as f: | |
| f.write(card) | |
| name = name.replace(" ", "_") | |
| res = api.upload_folder( | |
| repo_id="osanseviero/langchain_hub_test", | |
| folder_path=tmpdir, | |
| path_in_repo=f"prompts/{name}", | |
| token=token, | |
| repo_type="dataset", | |
| create_pr=True | |
| ) | |
| return "Success! Check out https://huggingface.co/datasets/osanseviero/langchain_hub_test/discussions" | |
| with gr.Blocks() as form: | |
| gr.Markdown("# LangChain Hub Form") | |
| gr.Markdown("## Submit a prompt") | |
| name = gr.Textbox(lines=1, placeholder="Name for the prompt", label="Name") | |
| high_level_description = gr.Textbox(lines=2, placeholder="High level text description of the prompt, including use cases.", interactive=True, label="Description") | |
| inputs_description = gr.Textbox(lines=3, value=inputs_description, interactive=True, label="Inputs Description") | |
| usage_description = gr.Textbox(lines=3, value=usage_description, interactive=True, label="Usage Description") | |
| input_variables = gr.Textbox(value=input_variables_description, interactive=True, label="Input Variables") | |
| template = gr.Textbox(lines=3, value=template_description, interactive=True, label="Template (use the input variables with {})") | |
| token = gr.Textbox(label="Write Token (from https://hf.co/settings/tokens)", type="password") | |
| btn = gr.Button(value="Open PR") | |
| inputs = [name, high_level_description, inputs_description, usage_description, input_variables, template, token] | |
| output = gr.Textbox() | |
| btn.click(submit, inputs=inputs, outputs=[output]) | |
| form.launch(debug=True) |