Spaces:
Running
on
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Running
on
Zero
fda
Browse files- chat_history.db +0 -0
- controllers/gpt_enginner20240624105436/.gpteng/memory/logs/gen_entrypoint_chat.txt +181 -0
- controllers/gpt_enginner20240624105436/Code.gs +8 -0
- controllers/gpt_enginner20240624105436/app/models.py +18 -0
- controllers/gpt_enginner20240624105436/app/views.py +15 -0
- controllers/gpt_enginner20240624105436/gradio_app.py +31 -0
- controllers/gpt_enginner20240624105436/program_description.md +18 -0
- controllers/gpt_enginner20240624105436/requirements.txt +4 -0
- controllers/gpt_enginner20240624105436/router.py +12 -0
- controllers/gpt_enginner20240624105436/run.sh +13 -0
- controllers/gpt_enginner20240624105436/sequence_diagram.puml +14 -0
chat_history.db
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controllers/gpt_enginner20240624105436/.gpteng/memory/logs/gen_entrypoint_chat.txt
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1 |
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2024-06-24T10:54:49.207524
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================================ System Message ================================
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You will get information about a codebase that is currently on disk in the current folder.
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The user will ask you to write a script that runs the code in a specific way.
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You will answer with code blocks that include all the necessary terminal commands.
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Do not install globally. Do not use sudo.
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Do not explain the code, just give the commands.
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Do not use placeholders, use example values (like . for a folder argument) if necessary.
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================================ Human Message =================================
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Make a unix script that
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a) installs dependencies
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b) runs all necessary parts of the codebase (in parallel if necessary)
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Information about the codebase:
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```
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File: requirements.txt
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1 django
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2 fastapi
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3 gradio
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4 google-api-python-client
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File: app/models.py
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1 from django.db import models
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2
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3 class Diamond(models.Model):
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4 carat = models.DecimalField(max_digits=5, decimal_places=2)
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5 cut = models.CharField(max_length=50)
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6 color = models.CharField(max_length=50)
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7 clarity = models.CharField(max_length=50)
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8 depth = models.DecimalField(max_digits=5, decimal_places=2)
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9
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10 class BrandProduct(models.Model):
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11 brand_name = models.CharField(max_length=50)
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12 model_name = models.CharField(max_length=50)
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13 type_number = models.CharField(max_length=50)
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14 purchase_store = models.CharField(max_length=50)
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15 purchase_date = models.DateField()
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16 purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
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17 accessories = models.TextField()
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18 condition = models.CharField(max_length=50)
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File: app/views.py
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1 from django.shortcuts import render
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2 from .models import Diamond, BrandProduct
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3 from fastapi import FastAPI
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4
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5 app = FastAPI()
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6
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7 @app.get("/diamonds/")
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8 def get_diamonds():
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9 diamonds = Diamond.objects.all()
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10 return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
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11
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12 @app.get("/brand_products/")
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13 def get_brand_products():
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14 brand_products = BrandProduct.objects.all()
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15 return {"brand_products": [{"id": bp.id, "brand_name": bp.brand_name, "model_name": bp.model_name, "type_number": bp.type_number, "purchase_store": bp.purchase_store, "purchase_date": bp.purchase_date, "purchase_price": bp.purchase_price, "accessories": bp.accessories, "condition": bp.condition} for bp in brand_products]}
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File: router.py
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1 from fastapi import FastAPI, APIRouter
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2 from app.views import app as django_app
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3
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4 router = APIRouter()
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5
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6 @router.get("/api/diamonds/")
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7 def get_diamonds():
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8 return django_app.get_diamonds()
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9
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10 @router.get("/api/brand_products/")
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11 def get_brand_products():
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12 return django_app.get_brand_products()
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File: gradio_app.py
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1 import gradio as gr
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2
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3 def get_diamond_form():
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4 with gr.Row():
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5 carat = gr.Number(value=1.0, label="Carat")
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6 cut = gr.Textbox(label="Cut")
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7 color = gr.Textbox(label="Color")
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8 clarity = gr.Textbox(label="Clarity")
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9 depth = gr.Number(value=1.0, label="Depth")
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10 return [carat, cut, color, clarity, depth]
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11
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12 def get_brand_product_form():
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13 with gr.Row():
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14 brand_name = gr.Textbox(label="Brand Name")
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15 model_name = gr.Textbox(label="Model Name")
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16 type_number = gr.Textbox(label="Type Number")
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17 purchase_store = gr.Textbox(label="Purchase Store")
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18 purchase_date = gr.DatePicker(label="Purchase Date")
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19 purchase_price = gr.Number(value=1000.0, label="Purchase Price")
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20 accessories = gr.Textbox(label="Accessories")
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21 condition = gr.Textbox(label="Condition")
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22 return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
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23
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24 gr_interface = gr.Interface(
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25 fn=None,
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26 inputs=[get_diamond_form(), get_brand_product_form()],
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27 outputs="text",
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28 title="Diamond and Brand Product Appraisal",
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29 description="Please fill in the required information for appraisal."
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30 )
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31 gr_interface.launch()
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File: Code.gs
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1 function doPost(e) {
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2 var data = e.postData.contents;
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3 var diamond = JSON.parse(data).diamond;
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4 var brandProduct = JSON.parse(data).brandProduct;
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5 // Process appraisal logic here
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6 var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
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7 return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
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8 }
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123 |
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File: sequence_diagram.puml
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124 |
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1 @startuml
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125 |
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2 participant User as U
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126 |
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3 participant GradioApp as GA
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127 |
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4 participant GoogleAppsScript as GAS
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128 |
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5 participant BackendScript as BS
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6
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7 U -> GA: Fill in appraisal form
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8 GA -> GAS: Submit form data
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9 GAS -> BS: POST request with form data
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10 BS -> BS: Process appraisal logic
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11 BS -> GAS: Return appraisal result
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12 GAS -> GA: Display appraisal result
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13 GA -> U: Show appraisal result
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14 @enduml
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139 |
+
File: program_description.md
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+
1 # Diamond and Brand Product Appraisal System
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141 |
+
2
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142 |
+
3 This system allows users to fill in a form with information about a diamond or brand product, and then submits the form data to a backend script for appraisal. The appraisal result is then displayed to the user.
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143 |
+
4
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144 |
+
5 The system consists of the following components:
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145 |
+
6
|
146 |
+
7 * A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
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147 |
+
8 * A Google Apps Script frontend that handles the form submission and communicates with the backend script
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148 |
+
9 * A backend script that processes the appraisal logic and returns the result
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149 |
+
10 * A Django app that provides the API for the backend script to interact with
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150 |
+
11
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151 |
+
12 The system uses the following technologies:
|
152 |
+
13
|
153 |
+
14 * Gradio for the frontend
|
154 |
+
15 * Google Apps Script for the frontend and backend communication
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155 |
+
16 * Django for the backend API
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156 |
+
17 * FastAPI for the router
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157 |
+
18 * Python for the backend script
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158 |
+
|
159 |
+
```
|
160 |
+
|
161 |
+
================================== Ai Message ==================================
|
162 |
+
|
163 |
+
Here is a Unix script that installs dependencies and runs the necessary parts of the codebase:
|
164 |
+
|
165 |
+
```bash
|
166 |
+
#!/bin/bash
|
167 |
+
|
168 |
+
# Install dependencies
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169 |
+
pip install -r requirements.txt
|
170 |
+
|
171 |
+
# Run Django migrations
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172 |
+
python manage.py migrate
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173 |
+
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174 |
+
# Run FastAPI app
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175 |
+
uvicorn router:router --host 0.0.0.0 --port 8000 &
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176 |
+
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177 |
+
# Run Gradio app
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178 |
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python gradio_app.py &
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179 |
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```
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180 |
+
|
181 |
+
Note: This script assumes that you have a `manage.py` file in the current directory, which is a standard file in Django projects. It also assumes that you want to run the FastAPI app on host `0.0.0.0` and port `8000`. You can change these settings as needed.
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controllers/gpt_enginner20240624105436/Code.gs
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function doPost(e) {
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2 |
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var data = e.postData.contents;
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3 |
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var diamond = JSON.parse(data).diamond;
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4 |
+
var brandProduct = JSON.parse(data).brandProduct;
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5 |
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// Process appraisal logic here
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+
var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
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return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
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8 |
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}
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controllers/gpt_enginner20240624105436/app/models.py
ADDED
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from django.db import models
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class Diamond(models.Model):
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carat = models.DecimalField(max_digits=5, decimal_places=2)
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5 |
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cut = models.CharField(max_length=50)
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6 |
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color = models.CharField(max_length=50)
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7 |
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clarity = models.CharField(max_length=50)
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8 |
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depth = models.DecimalField(max_digits=5, decimal_places=2)
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9 |
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class BrandProduct(models.Model):
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11 |
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brand_name = models.CharField(max_length=50)
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model_name = models.CharField(max_length=50)
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13 |
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type_number = models.CharField(max_length=50)
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14 |
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purchase_store = models.CharField(max_length=50)
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15 |
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purchase_date = models.DateField()
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16 |
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purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
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17 |
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accessories = models.TextField()
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18 |
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condition = models.CharField(max_length=50)
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controllers/gpt_enginner20240624105436/app/views.py
ADDED
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from django.shortcuts import render
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from .models import Diamond, BrandProduct
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from fastapi import FastAPI
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app = FastAPI()
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6 |
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@app.get("/diamonds/")
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8 |
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def get_diamonds():
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9 |
+
diamonds = Diamond.objects.all()
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10 |
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return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
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11 |
+
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12 |
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@app.get("/brand_products/")
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13 |
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def get_brand_products():
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14 |
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brand_products = BrandProduct.objects.all()
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15 |
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return {"brand_products": [{"id": bp.id, "brand_name": bp.brand_name, "model_name": bp.model_name, "type_number": bp.type_number, "purchase_store": bp.purchase_store, "purchase_date": bp.purchase_date, "purchase_price": bp.purchase_price, "accessories": bp.accessories, "condition": bp.condition} for bp in brand_products]}
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controllers/gpt_enginner20240624105436/gradio_app.py
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1 |
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import gradio as gr
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2 |
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3 |
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def get_diamond_form():
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4 |
+
with gr.Row():
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5 |
+
carat = gr.Number(value=1.0, label="Carat")
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6 |
+
cut = gr.Textbox(label="Cut")
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7 |
+
color = gr.Textbox(label="Color")
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8 |
+
clarity = gr.Textbox(label="Clarity")
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9 |
+
depth = gr.Number(value=1.0, label="Depth")
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10 |
+
return [carat, cut, color, clarity, depth]
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11 |
+
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12 |
+
def get_brand_product_form():
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13 |
+
with gr.Row():
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14 |
+
brand_name = gr.Textbox(label="Brand Name")
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15 |
+
model_name = gr.Textbox(label="Model Name")
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16 |
+
type_number = gr.Textbox(label="Type Number")
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17 |
+
purchase_store = gr.Textbox(label="Purchase Store")
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18 |
+
purchase_date = gr.DatePicker(label="Purchase Date")
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19 |
+
purchase_price = gr.Number(value=1000.0, label="Purchase Price")
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20 |
+
accessories = gr.Textbox(label="Accessories")
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21 |
+
condition = gr.Textbox(label="Condition")
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22 |
+
return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
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23 |
+
|
24 |
+
gr_interface = gr.Interface(
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25 |
+
fn=None,
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26 |
+
inputs=[get_diamond_form(), get_brand_product_form()],
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27 |
+
outputs="text",
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28 |
+
title="Diamond and Brand Product Appraisal",
|
29 |
+
description="Please fill in the required information for appraisal."
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30 |
+
)
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31 |
+
gr_interface.launch()
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controllers/gpt_enginner20240624105436/program_description.md
ADDED
@@ -0,0 +1,18 @@
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1 |
+
# Diamond and Brand Product Appraisal System
|
2 |
+
|
3 |
+
This system allows users to fill in a form with information about a diamond or brand product, and then submits the form data to a backend script for appraisal. The appraisal result is then displayed to the user.
|
4 |
+
|
5 |
+
The system consists of the following components:
|
6 |
+
|
7 |
+
* A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
|
8 |
+
* A Google Apps Script frontend that handles the form submission and communicates with the backend script
|
9 |
+
* A backend script that processes the appraisal logic and returns the result
|
10 |
+
* A Django app that provides the API for the backend script to interact with
|
11 |
+
|
12 |
+
The system uses the following technologies:
|
13 |
+
|
14 |
+
* Gradio for the frontend
|
15 |
+
* Google Apps Script for the frontend and backend communication
|
16 |
+
* Django for the backend API
|
17 |
+
* FastAPI for the router
|
18 |
+
* Python for the backend script
|
controllers/gpt_enginner20240624105436/requirements.txt
ADDED
@@ -0,0 +1,4 @@
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|
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|
1 |
+
django
|
2 |
+
fastapi
|
3 |
+
gradio
|
4 |
+
google-api-python-client
|
controllers/gpt_enginner20240624105436/router.py
ADDED
@@ -0,0 +1,12 @@
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|
1 |
+
from fastapi import FastAPI, APIRouter
|
2 |
+
from app.views import app as django_app
|
3 |
+
|
4 |
+
router = APIRouter()
|
5 |
+
|
6 |
+
@router.get("/api/diamonds/")
|
7 |
+
def get_diamonds():
|
8 |
+
return django_app.get_diamonds()
|
9 |
+
|
10 |
+
@router.get("/api/brand_products/")
|
11 |
+
def get_brand_products():
|
12 |
+
return django_app.get_brand_products()
|
controllers/gpt_enginner20240624105436/run.sh
ADDED
@@ -0,0 +1,13 @@
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|
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|
|
|
1 |
+
#!/bin/bash
|
2 |
+
|
3 |
+
# Install dependencies
|
4 |
+
pip install -r requirements.txt
|
5 |
+
|
6 |
+
# Run Django migrations
|
7 |
+
python manage.py migrate
|
8 |
+
|
9 |
+
# Run FastAPI app
|
10 |
+
uvicorn router:router --host 0.0.0.0 --port 8000 &
|
11 |
+
|
12 |
+
# Run Gradio app
|
13 |
+
python gradio_app.py &
|
controllers/gpt_enginner20240624105436/sequence_diagram.puml
ADDED
@@ -0,0 +1,14 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
@startuml
|
2 |
+
participant User as U
|
3 |
+
participant GradioApp as GA
|
4 |
+
participant GoogleAppsScript as GAS
|
5 |
+
participant BackendScript as BS
|
6 |
+
|
7 |
+
U -> GA: Fill in appraisal form
|
8 |
+
GA -> GAS: Submit form data
|
9 |
+
GAS -> BS: POST request with form data
|
10 |
+
BS -> BS: Process appraisal logic
|
11 |
+
BS -> GAS: Return appraisal result
|
12 |
+
GAS -> GA: Display appraisal result
|
13 |
+
GA -> U: Show appraisal result
|
14 |
+
@enduml
|