First Commit

.gitignore

@@ -0,0 +1,6 @@
+__pycache__
+.env
+*.png
+*.csv
+*.jpeg
+*.jpg

app.py

@@ -0,0 +1,87 @@
+import gradio as gr
+from utils import add_result
+#import dotenv
+
+HF_TOKEN = ''
+
+
+def submit_result(user_answer):
+    add_result({"user_answer": user_answer})
+    return
+
+
+def get_user_prompt():
+    return {
+        "images": [
+            "images/1.jpeg",
+            "images/1.jpeg",
+            "images/1.jpeg",
+        ],
+        "labels": [
+            "A pencil",
+            "A camera",
+            "A sheet of paper",
+        ],
+    }
+
+hf_writer = gr.HuggingFaceDatasetSaver(hf_token=HF_TOKEN, dataset_name='maker-faire-bot', private=True)
+csv_writer = gr.CSVLogger()
+
+theme = gr.themes.Default(primary_hue="cyan", secondary_hue="fuchsia")
+
+with gr.Blocks(theme=theme) as demo:
+    with gr.Row() as header:
+        gr.Image(
+            "maker-faire-logo.png",
+            show_download_button=False,
+            show_label=False,
+            show_share_button=False,
+            container=False,
+            #height=100,
+            scale=0.2
+        )
+        gr.Markdown(
+            """
+            # Maker Faire Bot
+            """,
+            visible=False
+        )
+
+    # user_prompt = gr.State(get_user_prompt())
+    user_prompt = get_user_prompt()
+
+    gr.Markdown("""# Think about these objects...""")
+    gr.Markdown("""We want to teach the Maker Faire Bot some creativity. Help us get ideas on what you'd build!""")
+    with gr.Row(variant="panel") as row:
+        for i in range(len(user_prompt["images"])):
+            print(i)
+            with gr.Column(variant="default") as col:
+                gr.Image(
+                    user_prompt["images"][i],
+                    label=user_prompt["labels"][i],
+                    interactive=False,
+                    show_download_button=False,
+                    show_share_button=False,
+                )
+                # gr.Text(user_prompt['labels'][i])
+
+    user_answer = gr.Textbox(
+        autofocus=True,
+        placeholder="(example): An electronic guitar",
+        label="What would you build?",
+    )
+    user_answer = gr.TextArea(
+        autofocus=True, label="How would you build it?", placeholder="""I'd use the camera to detect when the user touches the strings and make a sound using the loudspeakers when that happens."""
+    )
+
+    submit_btn = gr.Button("Submit", variant="primary")
+    #submit_btn.click()
+
+    gr.Markdown(
+        """
+        This is an experimental project. Your data is anonymous and will be used to train an AI model. By using this tool, you agree to our [policy](https://makerfaire.com/privacy).
+        """
+    )
+
+if __name__ == "__main__":
+    demo.launch()

utils.py

@@ -0,0 +1,13 @@
+from typing import Dict
+import logging
+
+logger = logging.getLogger(__file__)
+
+
+
+def add_result(result: Dict):
+    """
+    Adds the result to the dataset and stores it to disk
+    """
+    logger.info(f"Logging result: {result}")
+    return