Update app.py

app.py

@@ -1,64 +1,158 @@
+import os
 import gradio as gr
 from huggingface_hub import InferenceClient
+from noaa_incidents import NOAAIncidentDB, NOAAIncidentScraper
+import json
+from datetime import datetime
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
+# Initialize Hugging Face client
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+class NOAAIncidentApp:
+    def __init__(self):
+        """Initialize the NOAA Incident App with database and chatbot components."""
+        self.db = NOAAIncidentDB(persist_directory="noaa_db")
+        self.last_update = None
+        self._load_last_update_time()
 
+    def _load_last_update_time(self):
+        """Load the last update time from metadata file."""
+        try:
+            if os.path.exists("metadata.json"):
+                with open("metadata.json", "r") as f:
+                    metadata = json.load(f)
+                    self.last_update = metadata.get("last_update")
+        except Exception as e:
+            print(f"Error loading metadata: {e}")
+
+    def _save_last_update_time(self):
+        """Save the last update time to metadata file."""
+        try:
+            with open("metadata.json", "w") as f:
+                json.dump({"last_update": self.last_update}, f)
+        except Exception as e:
+            print(f"Error saving metadata: {e}")
+
+    def search_incidents(self, query, min_date=None, max_date=None, location_filter=None, num_results=5):
+        """Search incidents with optional filters and return results."""
+        results = self.db.search(query, n_results=num_results)
+        filtered_results = []
+
+        for result in results:
+            if min_date and result['date'] < min_date:
+                continue
+            if max_date and result['date'] > max_date:
+                continue
+            if location_filter and location_filter.lower() not in result['location'].lower():
+                continue
+            filtered_results.append(result)
+
+        if not filtered_results:
+            return "No matching incidents found."
+
+        output = []
+        for i, result in enumerate(filtered_results, 1):
+            output.append(f"## Result {i}: {result['title']}")
+            output.append(f"**Date:** {result['date']}")
+            output.append(f"**Location:** {result['location']}")
+            output.append(f"**Details:** {result['details']}")
+            output.append("---\n")
+        return "\n".join(output)
+
+    def respond(self, message, history, system_message, max_tokens, temperature, top_p):
+        """Generate chatbot responses or query the NOAA database based on user input."""
+        # Check if the message is a NOAA query
+        if "search noaa" in message.lower():
+            # Extract filters (basic implementation, can be expanded)
+            query = message.replace("search noaa", "").strip()
+            response = self.search_incidents(query=query, num_results=5)
+            return response
+
+        # Generate chatbot response
+        messages = [{"role": "system", "content": system_message}]
+        for val in history:
+            if val[0]:
+                messages.append({"role": "user", "content": val[0]})
+            if val[1]:
+                messages.append({"role": "assistant", "content": val[1]})
+        messages.append({"role": "user", "content": message})
+
+        response = ""
+        for message in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            token = message.choices[0].delta.content
+            response += token
+            yield response
+
+    def refresh_database(self, progress=gr.Progress()):
+        """Refresh the database with new incidents."""
+        try:
+            progress(0, desc="Initializing scraper...")
+            scraper = NOAAIncidentScraper(max_workers=5)
+            progress(0.2, desc="Scraping new incidents...")
+            csv_file, _ = scraper.run(validate_first=True)
+            if not csv_file:
+                return "Error: Failed to scrape new incidents."
+            progress(0.6, desc="Loading new data into database...")
+            num_loaded = self.db.load_incidents(csv_file)
+            self.last_update = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            self._save_last_update_time()
+            progress(1.0, desc="Complete!")
+            return f"Successfully refreshed database with {num_loaded} incidents."
+        except Exception as e:
+            return f"Error refreshing database: {str(e)}"
+
+    def create_interface(self):
+        """Create the Gradio interface."""
+        with gr.Blocks(title="NOAA Incident & Chatbot App") as interface:
+            gr.Markdown("# NOAA Incident & Chatbot Application")
+            with gr.Row():
+                with gr.Column(scale=2):
+                    gr.Markdown("### Chatbot Interaction")
+                    system_message = gr.Textbox(
+                        label="System Message", value="You are a friendly assistant."
+                    )
+                    chat_history = gr.State([])
+                    message = gr.Textbox(label="Message")
+                    max_tokens = gr.Slider(1, 2048, 512, step=1, label="Max Tokens")
+                    temperature = gr.Slider(0.1, 4.0, 0.7, step=0.1, label="Temperature")
+                    top_p = gr.Slider(0.1, 1.0, 0.95, step=0.05, label="Top-p")
+                    chat_btn = gr.Button("Send")
+                    chat_md = gr.Markdown()
+
+                with gr.Column(scale=1):
+                    refresh_btn = gr.Button("Refresh Database")
+                    last_update_md = gr.Markdown(
+                        f"*Last database update: {self.last_update or 'Never'}*"
+                    )
+
+            chat_btn.click(
+                self.respond,
+                inputs=[
+                    message,
+                    chat_history,
+                    system_message,
+                    max_tokens,
+                    temperature,
+                    top_p,
+                ],
+                outputs=chat_md,
+            )
+
+            refresh_btn.click(self.refresh_database, inputs=[], outputs=last_update_md)
+
+        return interface
+
+
+# Run the app
+app = NOAAIncidentApp()
+demo = app.create_interface()
 
 if __name__ == "__main__":
     demo.launch()