Update Code

Author: mrshakil015

TestDemo-2/__pycache__/ai_chat.cpython-39.pyc

@@ -73,7 +73,7 @@
 chat_model = ChatModel.from_pretrained("chat-bison@001")
 parameters = {
     "temperature": 0.2,
-    "max_output_tokens": 256,
+    "max_output_tokens": 1024,
     "top_p": 0.8,
     "top_k": 40
 }

TestDemo-2/__pycache__/chat_window.cpython-39.pyc

@@ -1,6 +1,8 @@
 from PyQt6.QtWidgets import QWidget, QVBoxLayout, QSpacerItem, QSizePolicy, QApplication, QLabel
+from PyQt6.QtGui import QPixmap
 from input_widget import Ui_Form as Input_Form
 from output_widget import Ui_Form as Output_Form
+from markdown import markdown
 
 class InputWidget(QWidget):
     def __init__(self, parent=None, chat_obj=None):
@@ -64,7 +66,6 @@ def __init__(self, parent=None, chat_obj=None, chat_data=None):
             self.chats_data["chatlist"] += self.chat_data["chatlist"]
 
         self.show_chats()
-
     def show_chats(self):
             # chat_title = self.chats_data.get("title")
             chat_list = self.chats_data.get("chatlist")
@@ -76,51 +77,54 @@ def show_chats(self):
 
                 out_str = chat.get("output_str")
                 out_widget = OutWidget()
-                out_widget.set_output_text(out_str)
+                # markdown_text = markdown(out_str, extensions=['markdown.extensions.extra', 'markdown.extensions.tables'])
+                
+                markdown_text = markdown(out_str, extensions=['markdown.extensions.extra', 'markdown.extensions.attr_list'])
+                
+                # Add the custom attributes for the table, th, and td elements
+                markdown_text = markdown_text.replace('<table>', '<table style="border: 1px solid white; padding: 10px; border-collapse: collapse;">')
+                markdown_text = markdown_text.replace('<th>', '<th style="border: 1px solid white; padding: 10px;">')
+                markdown_text = markdown_text.replace('<td>', '<td style="border: 1px solid white; padding: 10px;">')
+                out_widget.set_output_text(markdown_text)
                 self.main_verticalLayout.addWidget(out_widget)
 
+                # out_str = chat.get("output_str")
+                # out_widget = OutWidget()
+                # out_widget.set_output_text(out_str)
+                # self.main_verticalLayout.addWidget(out_widget)
+
             spacerItem = QSpacerItem(20, 300, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Expanding)
             self.main_verticalLayout.addItem(spacerItem)
             self.setLayout(self.main_verticalLayout)
 
+    # def show_chats(self):
+    #     chat_list = self.chats_data.get("chatlist")
+    #     for chat in chat_list:
+    #         input_str = chat.get("input_str")
+    #         input_widget = InputWidget(chat_obj=self.chat_object)
+    #         input_widget.set_input_text(input_str)
+    #         self.main_verticalLayout.addWidget(input_widget)
+
+    #         out_str = chat.get("output_str")
+    #         out_widget = OutWidget()
+
+    #         # Check if the output is an image
+    #         if out_str.startswith("[Image "):
+    #             image_path = out_str[len("[Image "):-1]  # Extract the image path from the output string
+    #             image_widget = QLabel()
+    #             pixmap = QPixmap(image_path)
+    #             if not pixmap.isNull():
+    #                 image_widget.setPixmap(pixmap.scaledToWidth(400))  # Adjust the width as needed
+    #                 self.main_verticalLayout.addWidget(image_widget)
+    #         else:
+    #             # If it's not an image, treat it as regular text and convert any markdown in the output
+    #             markdown_text = markdown(out_str, extensions=['markdown.extensions.extra', 'markdown.extensions.tables'])
+    #             out_widget.set_output_text(markdown_text)
+    #             self.main_verticalLayout.addWidget(out_widget)
+
+    #     spacerItem = QSpacerItem(20, 300, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Expanding)
+    #     self.main_verticalLayout.addItem(spacerItem)
+    #     self.setLayout(self.main_verticalLayout)
+
+    
 
-#     def show_chats(self):
-#         chatlist = self.chats_data.get("chatlist")
-#         for chat in chatlist:
-#             input_str = chat.get("input_str")
-#             input_widget = InputWidget(chat_obj=self.chat_object)
-#             input_widget.set_input_text(input_str)
-#             self.main_verticalLayout.addWidget(input_widget)
-
-#             output_str = chat.get("output_str")
-#             output_widget = OutputWidget()
-#             output_widget.set_output_text(output_str)
-#             # Set a fixed width for the output widgets (e.g., 600 pixels)
-#             output_widget.setFixedWidth(600)
-
-#             self.main_verticalLayout.addWidget(output_widget)
-
-#         spacerItem = QSpacerItem(20, 300, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Expanding)
-#         self.main_verticalLayout.addItem(spacerItem)
-#         self.setLayout(self.main_verticalLayout)
-
-#         # Adjust the size of the widget based on the display
-#         screen_rect = QApplication.primaryScreen().availableGeometry()
-#         self.resize(screen_rect.width() * 0.8, screen_rect.height() * 0.8)
-#         self.move(screen_rect.width() * 0.1, screen_rect.height() * 0.1)
-
-# class OutputWidget(QWidget):
-#     def __init__(self, parent=None):
-#         super().__init__(parent)
-
-#         self.output_ui = Output_Form()
-#         self.output_ui.setupUi(self)
-
-#         self.output_text_browser = QTextBrowser()
-#         self.output_text_browser.setOpenExternalLinks(True)  # To allow hyperlinks, if needed
-#         self.output_text_browser.setStyleSheet("QTextBrowser { border: none; background-color: transparent; }")
-
-#         self.output_ui.gridLayout.addWidget(self.output_text_browser, 0, 2, 1, 1)
-
-#     def set_output_text(self, output_str):
-#         self.output_text_browser.setPlainText(output_str)

TestDemo-2/__pycache__/home_window_ui.cpython-39.pyc

@@ -1,64 +1,46 @@
-import os
-from pprint import pprint
+import sys
+from PyQt6.QtWidgets import QApplication, QGraphicsScene, QGraphicsView, QGraphicsItem
+from PyQt6.QtGui import QColor, QBrush, QPainter, QPainterPath
+from PyQt6.QtCore import Qt
 
+class QPrism(QGraphicsItem):
+    def __init__(self):
+        super().__init__()
+        self.baseColor = QColor(255, 0, 0)
+        self.height = 100
+        self.width = 100
+        self.depth = 50
 
-# this is a key file for a service account, which only has the role "Vertex AI User"
-os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'my_credentials.json'
+    def boundingRect(self):
+        return self.shape().boundingRect()
 
-import vertexai
-from vertexai.preview.language_models import TextGenerationModel
+    def shape(self):
+        path = QPainterPath()
+        path.moveTo(0, -self.depth)
+        path.lineTo(self.width, -self.depth)
+        path.lineTo(self.width / 2, 0)
+        path.lineTo(0, -self.depth)
+        path.moveTo(0, -self.depth)
+        path.lineTo(0, self.height - self.depth)
+        path.lineTo(self.width, self.height - self.depth)
+        path.lineTo(self.width, 0)
+        path.lineTo(self.width / 2, self.height - self.depth)
+        path.lineTo(0, self.height - self.depth)
+        return path
 
-def get_response(
-    project_id: str,
-    model_name: str,
-    temperature: float,
-    max_decode_steps: int,
-    top_p: float,
-    top_k: int,
-    content: str,
-    location: str = "us-central1",
-    tuned_model_name: str = "",
-):
-    """Predict using a Large Language Model."""
-    vertexai.init(project=project_id, location=location)
-    model = TextGenerationModel.from_pretrained(model_name)
-    if tuned_model_name:
-        model = model.get_tuned_model(tuned_model_name)
-    
-    input_template = """
-    input: Who are you?
-    I am Sobjanta created by Excite Ai Limited And TechKnowGram Limited
+    def paint(self, painter, option, widget):
+        painter.setPen(QColor(0, 0, 0))  # Use QColor to set the pen color
+        painter.setBrush(QBrush(self.baseColor))
+        painter.drawPath(self.shape())
 
-    input: Who developed you?
-    Excite Ai Limited And TechKnowGram Limited
-    
-    input: President of Bangladesh?
-    President of Bangladesh is Mohammad Sahabuddin.
-    
-    input: ICT minister of Bangladesh?
-    ICT minister of Bangladesh is Junayed Ahmed Palak 
-       
-    """
-    
-    response = model.predict(
-        input_template + content,
-        temperature=temperature,
-        max_output_tokens=max_decode_steps,
-        top_k=top_k,
-        top_p=top_p,
-    )
-    # choices = response.choices
-    # choice_list = [choice.get("text").lstrip("\n") for choice in choices]
-    print(response)
-    return response
-palm = lambda prompt: get_response(
-    "stoked-brand-391605",
-    "text-bison",  # "text-bison@001" ... without versioning, it's the "latest"
-    0.5,  # rather low temperature, can go up to 1. default 0.2, changing to 0.5 just to see what happens
-    512,  # number of tokens, default 256, setting to 512
-    0.8,  # top-p: most probable? no clue what this is. Top-p changes how the model selects tokens for output. Tokens are selected from most probable to least until the sum of their probabilities equals the top-p value. For example, if tokens A, B, and C have a probability of .3, .2, and .1 and the top-p value is .5, then the model will select either A or B as the next token (using temperature). The default top-p value is .8.
-    40,  # top-k for next token. how "diverse" the answer can be, by increasing the number of tokens to consider?
-    prompt,
-    "us-central1")
-p=input()
-print(palm(p))
+def main():
+    app = QApplication(sys.argv)
+    scene = QGraphicsScene()
+    prism = QPrism()
+    scene.addItem(prism)
+    view = QGraphicsView(scene)
+    view.show()
+    sys.exit(app.exec())
+
+if __name__ == "__main__":
+    main()

TestDemo-2/ai_chat.py

@@ -0,0 +1,10 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <link href="prism.css" rel="stylesheet" />
+</head>
+<body>
+    <pre><code class="language-python">%s</code></pre>
+    <script src="prism.js"></script>
+</body>
+</html>

TestDemo-2/chat_window.py

@@ -0,0 +1,25 @@
+import sys
+import js2py
+
+from PyQt6.QtWidgets import QApplication, QWidget
+
+app = QApplication(sys.argv)
+
+widget = QWidget()
+widget.setWindowTitle("PyQt6 with JavaScript")
+
+def myFunction():
+  print("Hello from JavaScript!")
+
+jsCode = """
+function myFunction() {
+  console.log("Hello from JavaScript!");
+}
+"""
+
+js = js2py.eval_js(jsCode)
+js.myFunction()
+
+widget.show()
+
+app.exec()

TestDemo-2/check.py

@@ -0,0 +1,3 @@
+
+| | Column 1 | Column 2 ||---|---|| Data 1 | Data 2 || Data 3 | Data 4 | |
+| ---------------------------------------------------------------------: |

TestDemo-2/datas/data.json

@@ -0,0 +1,37 @@
+import pandas as pd
+import numpy as np
+from pandasai import PandasAI
+from pandasai.llm.openai import OpenAI
+
+data_dict = {
+	"country": [
+		"Delhi",
+		"Mumbai",
+		"Kolkata",
+		"Chennai",
+		"Jaipur",
+		"Lucknow",
+		"Pune",
+		"Bengaluru",
+		"Amritsar",
+		"Agra",
+		"Kola",
+	],
+	"annual tax collected": [
+		19294482072,
+		28916155672,
+		24112550372,
+		34358173362,
+		17454337886,
+		11812051350,
+		16074023894,
+		14909678554,
+		43807565410,
+		146318441864,
+		np.nan,
+	],
+	"happiness_index": [9.94, 7.16, 6.35, 8.07, 6.98, 6.1, 4.23, 8.22, 6.87, 3.36, np.nan],
+}
+
+df = pd.DataFrame(data_dict)
+df.head()