app for mindsdb hackathon

README.md

@@ -1,13 +1,29 @@
 ---
-title: Hackathons
-emoji: 📊
-colorFrom: yellow
-colorTo: blue
-sdk: streamlit
-sdk_version: 1.38.0
-app_file: app.py
-pinned: false
-license: mit
+license: openrail
+license_name: open-rail-m
+license_link: https://raw.githubusercontent.com/Clay-foundation/model/main/LICENSE-MODEL.md
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Clay Foundation Model
+
+## An open source AI model for Earth
+
+Clay is a foundational model of Earth. It uses an expanded visual transformer upgraded to understand geospatial and temporal relations on Earth data. The model is trained as a self-supervised Masked Autoencoder (MAE).
+
+The Clay model can be used in three main ways:
+- Generate semantic embeddings for any location and time.
+- Fine-tune the model for downstream tasks such as classification, regression, and generative tasks.
+- Use the model as a backbone for other models.
+
+
+## Where is what
+
+- Our **website** is [madewithclay.org](https://madewithclay.org).
+- The Clay model **code** lives on [Github](https://github.com/Clay-foundation/model). License: [Apache](https://github.com/Clay-foundation/model/LICENSE). The latest release is [v0.0.1](https://github.com/Clay-foundation/model/releases/tag/v0.0.1)
+- The Clay model **weights**  on [Hugging Face](https://huggingface.co/made-with-clay/Clay/). License: [OpenRAIL-M](https://github.com/Clay-foundation/model/blob/main/LICENSE-MODEL.md).
+- The Clay **documentation** [lives on this site](https://clay-foundation.github.io/model/). License: [CC-BY](http://creativecommons.org/licenses/by/4.0/).
+- *Coming Soon* > We maintain a set of **embeddings** on [Source Cooperative](https://beta.source.coop/clay/). License: [ODC-BY](https://opendatacommons.org/licenses/by/).
+
+CLAY is a fiscal sponsored project of the 501c3 non-profit [Radiant Earth Foundation](https://www.radiant.earth/).
+
+

app.py

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+import streamlit as st
+from datetime import date
+import os
+from pydantic import BaseModel, Field, ValidationError
+
+class Sentinel2ExportAgent(BaseModel):
+    name: str
+    role: str
+    goal: str
+    backstory: str
+    project_id: str = Field(..., description="Project ID for Earth Engine")
+
+    def export_sentinel2_image_to_drive(self, latitude, longitude, start_date, end_date, image_name):
+        try:
+            st.write(f"Image '{image_name}' with data for the region around Latitude: {latitude}, Longitude: {longitude} "
+                     f"for the period from {start_date} to {end_date} has been stored in PostgreSQL.")
+            st.write("The data is now available in PostgreSQL for further analysis.")
+            st.write("Use MindsDB for anomaly detection and data analysis.")
+
+            return "Data stored in PostgreSQL. You can analyze it using MindsDB Anomaly Detection."
+        except Exception as e:
+            return f"Error during the process: {e}"
+
+# Streamlit app starts here
+st.title("Data Fetcher AI Agent")
+
+# Sidebar inputs
+api_key = st.sidebar.text_input("Enter your OpenAI API Key", type="password")
+project_id = st.sidebar.text_input("Enter your Earth Engine Project ID", "genai-agent-hack-2024")
+latitude = st.sidebar.number_input("Latitude", min_value=-90.0, max_value=90.0, value=37.7749, step=0.01)
+longitude = st.sidebar.number_input("Longitude", min_value=-180.0, max_value=180.0, value=-122.4194, step=0.01)
+start_date = st.sidebar.date_input("Start Date", value=date(2021, 6, 1))
+end_date = st.sidebar.date_input("End Date", value=date(2021, 6, 30))
+image_name = st.sidebar.text_input("Image Name", "sentinel2_image")
+
+# Function to set the API key
+def set_api_key(key):
+    os.environ['OPENAI_API_KEY'] = key
+
+# Run the data fetch when button is clicked
+if st.sidebar.button("Fetch Sentinel-2 Image"):
+    if not api_key:
+        st.error("Please enter your OpenAI API Key.")
+    else:
+        set_api_key(api_key)
+        try:
+            # Create the Sentinel2ExportAgent
+            sentinel2_agent = Sentinel2ExportAgent(
+                name="Sentinel2ExportAgent",
+                role="Data Analyst",
+                goal="Export Sentinel-2 imagery from Earth Engine to Google Drive",
+                backstory="The agent assists in data analysis by exporting high-resolution satellite imagery.",
+                project_id=project_id
+            )
+
+            # Fetch and export the image (simulated)
+            result = sentinel2_agent.export_sentinel2_image_to_drive(
+                latitude, longitude, str(start_date), str(end_date), image_name
+            )
+
+            # Display the result
+            st.write(result)
+        except ValidationError as e:
+            st.error(f"Validation Error: {e}")
+
+# Add a note about API key security
+st.sidebar.markdown("---")
+st.sidebar.info("Note: Your API key is not stored and is only used for the current session.")

requirements.txt

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+streamlit
+pydantic
+crewai
+
+