Update app.py

app.py

@@ -1,98 +1,47 @@
-import hvplot.pandas
-import numpy as np
 import panel as pn
-import pandas as pd
-import openai
-from llama_index import VectorStoreIndex, download_loader
-from langchain.agents import initialize_agent, Tool
-from langchain.llms import OpenAI
-from langchain.chains.conversation.memory import ConversationBufferMemory
-from panel.chat import ChatInterface
-import time
-pn.extension("perspective")
+import hvplot.pandas
 
-def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
-    message = f"Echoing {user}: {contents}"
-    return message
-chat_interface = pn.chat.ChatInterface(callback=callback)
-msg_panel = chat_interface.send(
-    "Enter a WEB link and ask anything!-\nNote: images in the link will be ignored!!!",
-    user="assistant",
-    respond=False,
+# Load Data
+from bokeh.sampledata.autompg import autompg_clean as df
+
+# Make DataFrame Pipeline Interactive
+idf = df.interactive()
+
+# Define Panel widgets
+cylinders = pn.widgets.IntSlider(name='Cylinders', start=4, end=8, step=2)
+mfr = pn.widgets.ToggleGroup(
+    name='MFR',
+    options=['ford', 'chevrolet', 'honda', 'toyota', 'audi'], 
+    value=['ford', 'chevrolet', 'honda', 'toyota', 'audi'],
+    button_type='success')
+yaxis = pn.widgets.RadioButtonGroup(
+    name='Y axis', 
+    options=['hp', 'weight'],
+    button_type='success'
 )
-website_url_input = pn.widgets.TextInput(name='Website URL', placeholder="https://www.google.com/")
-submit = pn.widgets.Button(name='Submit', button_type='primary')
-
-
-def on_submit(event, contents, ):
-
-    try:
-        SimpleWebPageReader = download_loader("SimpleWebPageReader")
-
-        # Set OpenAI API key
-        openai.api_key = "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"  # Replace with your actual API key
-
-        # Get the entered website URL
-        website_url = website_url_input.value
-
-        if website_url:
-            # Initialize SimpleWebPageReader with the provided website URL
-            loader = SimpleWebPageReader()
-            documents = loader.load_data(urls=[website_url])
-
-            # Create VectorStoreIndex from documents
-            index = VectorStoreIndex.from_documents(documents)
-
-            # Initialize LangChain OpenAI
-            index = VectorStoreIndex.from_documents(documents)
-            llm = OpenAI(openai_api_key="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", temperature=0, streaming = True
-                         )
-
-            # Initialize ConversationBufferMemory
-            memory = ConversationBufferMemory(memory_key="chat_history")
-
-            # Initialize agent chain
-            tools = [
-                Tool(
-                    name="Website Index",
-                    func=lambda q: index.as_query_engine(),
-                    description="Useful when you want to answer questions about the text on websites.",
-                ),
-            ]
-
-
-            query_engine = index.as_query_engine()
-            response = query_engine.query(contents)
-
-            return str(response),
-
-    except Exception as e:
-        print(f"Error: {e}")
-def even_or_odd(contents, user, instance):
-    response_tuple = on_submit(event='', contents=contents)
-
-    # Extracting the first element of the tuple and converting it to a string
-    response_string = str(response_tuple)
-
-    return response_string
-# Set the callback function for the button click event
-submit.on_click(on_submit)
-
-# Instantiate the template with widgets displayed in the sidebar
-template = pn.template.BootstrapTemplate(
-    title='Chat with Web',
-    sidebar=[website_url_input, submit,
-             msg_panel],
-    header=[],
 
+# Combine pipeline and widgets
+ipipeline = (
+    idf[
+        (idf.cyl == cylinders) & 
+        (idf.mfr.isin(mfr))
+    ]
+    .groupby(['origin', 'mpg'])[yaxis].mean()
+    .to_frame()
+    .reset_index()
+    .sort_values(by='mpg')  
+    .reset_index(drop=True)
 )
 
-ChatInterface(callback=even_or_odd)
-def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
-    message = query_engine.query(contents)
-    return message
-
+# Pipe to hvplot
+ihvplot = ipipeline.hvplot(x='mpg', y=yaxis, by='origin', color=["#ff6f69", "#ffcc5c", "#88d8b0"], line_width=6, height=400)
 
-
-# Display the app
-template.servable()
+# Layout using Template
+template = pn.template.FastListTemplate(
+    title='Interactive DataFrame Dashboards with hvplot .interactive', 
+    sidebar=[cylinders, 'Manufacturers', mfr, 'Y axis' , yaxis],
+    main=[ihvplot.panel()],
+    accent_base_color="#88d8b0",
+    header_background="#88d8b0",
+)
+template.servable()