Update app.py

app.py

@@ -1,66 +1,60 @@
-#[secrets]
-SANITY_API_TOKEN = "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"
-import requests
-import pandas as pd
 import streamlit as st
+import matplotlib.pyplot as plt
+from PIL import Image, ImageDraw
+import plotly.graph_objects as go
+import numpy as np
 
-# Sanity project details
-project_id = "your-sanity-project-id"  # Replace with your Sanity project ID
-dataset = "your-sanity-dataset-name"  # Replace with your dataset name
-
-# Try to fetch the SANITY_API_TOKEN from secrets
-try:
-    token = st.secrets["SANITY_API_TOKEN"]  # Fetch API token from Streamlit secrets
-except KeyError:
-    st.error("SANITY_API_TOKEN not found in secrets! Please check the secrets.toml file.")
-    token = None
-
-# Proceed only if the token is valid
-if token:
-    # Sanity API URL for querying tasks
-    url = f'https://{project_id}.api.sanity.io/v1/data/query/{dataset}'
-
-    # GROQ query to get tasks
-    groq_query = """
-    *[_type == "task"]{
-      _id,
-      title,
-      description,
-      status,
-      dueDate
-    }
-    """
-
-    # Prepare headers with authorization token
-    headers = {
-        'Authorization': f'Bearer {token}'  # Add the API token for authentication
-    }
-
-    # Streamlit title and description
-    st.title('Sanity Task List')
-    st.write("This app displays tasks fetched from a Sanity CMS project.")
-
-    # Initialize tasks_df to an empty DataFrame in case of error
-    tasks_df = pd.DataFrame()
-
-    # Make the GET request to Sanity API
-    response = requests.get(url, headers=headers, params={'query': groq_query})
-
-    # Check if the request was successful
-    if response.status_code == 200:
-        # Parse the JSON response into a DataFrame if successful
-        tasks = response.json()['result']
-        tasks_df = pd.DataFrame(tasks)
-
-        # Convert 'dueDate' field to datetime if it exists in the response
-        if 'dueDate' in tasks_df.columns:
-            tasks_df['dueDate'] = pd.to_datetime(tasks_df['dueDate'])
-
-        # Display the tasks in the DataFrame as a table
-        st.write("### Your Task List:")
-        st.dataframe(tasks_df)
-    else:
-        # Handle errors by displaying a message
-        st.error(f"Error fetching tasks: {response.status_code} - {response.text}")
-else:
-    st.error("API token not found. Please ensure the secrets.toml file is configured correctly.")
+# --- Wireframe Design ---
+st.title("My Design Prototype")
+
+# Create a simple wireframe design for a UI mockup
+fig, ax = plt.subplots()
+
+# Drawing a simple mockup of a webpage (a box representing a webpage layout)
+rect = plt.Rectangle((0.1, 0.1), 0.8, 0.8, linewidth=2, edgecolor='blue', facecolor='lightblue')
+ax.add_patch(rect)
+
+# Add title and buttons as placeholders
+plt.text(0.5, 0.9, "My Webpage", horizontalalignment='center', fontsize=12, weight='bold')
+
+# Adding a button
+plt.text(0.5, 0.5, "Submit", horizontalalignment='center', fontsize=10, weight='bold', color='white', bbox=dict(facecolor='blue', alpha=0.5))
+
+# Adjust axis and show the design
+plt.xlim(0, 1)
+plt.ylim(0, 1)
+plt.axis('off')  # Hide axes
+st.pyplot(fig)
+
+# --- Image Generation ---
+img = Image.new('RGB', (300, 150), color = (255, 255, 255))
+d = ImageDraw.Draw(img)
+
+# Add text or simple design elements
+d.text((10,10), "Design Prototype", fill=(0, 0, 0))
+
+# Show image
+st.image(img, caption="Prototype Image")
+
+# --- Plotly Chart ---
+fig_plotly = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6], mode='lines'))
+
+fig_plotly.update_layout(title='Data Prototype',
+                         xaxis_title='X Axis',
+                         yaxis_title='Y Axis')
+
+# Display Plotly chart
+st.plotly_chart(fig_plotly)
+
+# --- Figma API (If needed) ---
+# This is a placeholder for your Figma integration
+st.write("Figma integration can be added here.")
+
+# --- Gradio UI (If needed) ---
+import gradio as gr
+
+def greet(name):
+    return f"Hello {name}!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch(inline=True)