Updated pips. Updated README.

.github/workflows/docker-image.yml

@@ -37,5 +37,5 @@ jobs:
           push: true
           tags: |
             yaleh/meta-prompt:${{ github.sha }}
-            yaleh/meta-prompt:latest
+            ${{ github.ref == 'refs/heads/main' && 'yaleh/meta-prompt:latest' || '' }}
     

README.md

@@ -8,6 +8,8 @@ This project is a demonstration of the concept of Meta Prompt, which involves ge
 
 The demo utilizes OpenAI's language models and provides a user interface for interacting with the chatbot. It allows users to input prompts, execute model calls, compare outputs, and optimize prompts based on desired criteria.
 
+**New Update (2023/10/15):** A new working mode called `Other User Prompts` has been added. In the prompt optimization process, similar compatible prompts to the original user prompt are referenced to significantly reduce iteration cycles.
+
 ## Try it out!
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yaleh/meta-prompt/blob/main/meta_prompt.ipynb)
@@ -151,6 +153,69 @@ Year,Germany,France,United Kingdom,Italy,Spain
 2019-2018,-2.56%,-2.59%,0.01%,-4.11%,0.30%
 ```
 
+#### Other User Prompts
+
+```
+Here is the GDP data in billions of US dollars (USD) for these years:
+
+1. China:
+   - 2010: $6,101.18 billion
+   - 2011: $7,572.80 billion
+   - 2012: $8,560.59 billion
+   - 2013: $9,607.23 billion
+   - 2014: $10,482.65 billion
+
+2. India:
+   - 2010: $1,675.62 billion
+   - 2011: $1,823.05 billion
+   - 2012: $1,827.64 billion
+   - 2013: $1,856.72 billion
+   - 2014: $2,046.88 billion
+
+3. Japan:
+   - 2010: $5,700.35 billion
+   - 2011: $6,157.47 billion
+   - 2012: $6,203.21 billion
+   - 2013: $5,155.72 billion
+   - 2014: $4,616.52 billion
+
+4. South Korea:
+   - 2010: $1,464.26 billion
+   - 2011: $1,622.03 billion
+   - 2012: $1,624.76 billion
+   - 2013: $1,305.76 billion
+   - 2014: $1,411.25 billion
+
+5. Indonesia:
+   - 2010: $706.39 billion
+   - 2011: $846.48 billion
+   - 2012: $878.47 billion
+   - 2013: $868.36 billion
+   - 2014: $891.77 billion
+```
+
+#### Prompt After 1 Interation
+
+```
+ROLE
+
+You are an economic analyst.
+
+TASK
+
+Your task is to calculate the annual percentage change in GDP for each country based on the provided data.
+
+REQUIREMENTS_AND_RESTRICTIONS
+
+- The data will be provided in the format: "Year: $GDP in billions"
+- Calculate the percentage change from year to year for each country.
+- Present the results in a table format, with each row representing the change from one year to the next, and each column representing a different country.
+- The table should be formatted as "Year-Year,Country1,Country2,..."
+- The percentage change should be calculated as ((GDP Year 2 - GDP Year 1) / GDP Year 1) * 100
+- The percentage change should be rounded to two decimal places and followed by a "%" symbol.
+- If data for a year is missing for a country, leave that cell blank in the table.
+```
+
 ## License
 
 This project is licensed under the MIT License. Please see the [LICENSE](LICENSE) file for more information.

requirements.txt

@@ -35,8 +35,8 @@ jsonpointer==2.4
 jsonschema==4.19.1
 jsonschema-specifications==2023.7.1
 kiwisolver==1.4.5
-langchain==0.0.300
-langsmith==0.0.40
+langchain==0.0.312
+langsmith==0.0.43
 MarkupSafe==2.1.3
 marshmallow==3.20.1
 matplotlib==3.8.0
@@ -74,7 +74,7 @@ tqdm==4.66.1
 typing-inspect==0.9.0
 typing_extensions==4.8.0
 tzdata==2023.3
-urllib3==2.0.5
+urllib3==2.0.6
 uvicorn==0.23.2
 websockets==11.0.3
 yarl==1.9.2