add ocr example, modify email example

examples/ci/email_summary.py

@@ -4,17 +4,23 @@
 @Author  :   Tuo Zhou
 @File    :   email_summary.py
 """
+import os
 
 from metagpt.roles.ci.code_interpreter import CodeInterpreter
 
 
 async def main():
-    # For email response prompt
     email_account = "your_email_account"
-    # prompt = f"""I will give you your Outlook email account({email_account}) and password(email_password item in the environment variable). You need to find the latest email in my inbox with the sender's suffix @qq.com and reply to him "Thank you! I have received your email~"""""
-    prompt = f"""I will give you your Outlook email account({email_account}) and password(email_password item in the environment variable).
+    # your password will stay only on your device and not go to LLM api
+    os.environ["email_password"] = "your_email_password"
+
+    ### Prompt for automatic email reply, uncomment to try this too ###
+    # prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable). You need to find the latest email in my inbox with the sender's suffix @gmail.com and reply "Thank you! I have received your email~"""""
+
+    ### Prompt for automatic email summary ###
+    prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable).
             Firstly, Please help me fetch the latest 5 senders and full letter contents.
-            Then, summarize each of the 5 emails into one sentence(you can do this by yourself, no need import other models to do this) and output them in a markdown format."""
+            Then, summarize each of the 5 emails into one sentence (you can do this by yourself, no need to import other models to do this) and output them in a markdown format."""
 
     ci = CodeInterpreter(use_tools=True)
 

examples/ci/ocr_receipt.py

@@ -0,0 +1,19 @@
+from metagpt.roles.ci.code_interpreter import CodeInterpreter
+
+
+async def main():
+    # Notice: pip install metagpt[ocr] before using this example
+    image_path = "image.jpg"
+    language = "English"
+    requirement = f"""This is a {language} invoice image.
+    Your goal is to perform OCR on images using PaddleOCR, then extract the total amount from ocr text results, and finally save as table. Image path: {image_path}. 
+    NOTE: The environments for Paddle and PaddleOCR are all ready and has been fully installed."""
+    ci = CodeInterpreter()
+
+    await ci.run(requirement)
+
+
+if __name__ == "__main__":
+    import asyncio
+
+    asyncio.run(main())