Interesting error for OpenAI function calling example

I got quite intrigued after watching your YouTube video on OpenAI function calling and got your example.py code to play with. I wanted to see what it would do with an interesting ticker like HMNY. So I asked the following question and it barfed on start and end date. I thought I had unintentionally modified the code when I was perusing but a `git diff` and a `git st` both showed nothing had been modified:

```
# python example.py "If I bought 100 shares of HMNY stock on 2004-01-01, how much did I pay for them and how much are they worth today?"

2024-05-11 02:52:22,516 Calling get_price with symbol='HMNY' and date='2004-01-01'
2024-05-11 02:52:25,216 Calling get_price with symbol='HMNY' and date='2024-05-11'
2024-05-11 02:52:29,333
1 Failed download:
2024-05-11 02:52:29,333 ['HMNY']: Exception('%ticker%: Invalid input - start date cannot be after end date. startDate = 1715400000, endDate = 1715395945')
Traceback (most recent call last):
File "/root/source/mildlyoverfitted/mini_tutorials/openai_function_calling/example.py", line 105, in
output = str(get_price(**kwargs))
File "/root/source/mildlyoverfitted/mini_tutorials/openai_function_calling/example.py", line 24, in get_price
return history["Close"].iloc[0].item()
File "/opt/openai-functions/lib/python3.10/site-packages/pandas/core/indexing.py", line 1191, in __getitem__
return self._getitem_axis(maybe_callable, axis=axis)
File "/opt/openai-functions/lib/python3.10/site-packages/pandas/core/indexing.py", line 1752, in _getitem_axis
self._validate_integer(key, axis)
File "/opt/openai-functions/lib/python3.10/site-packages/pandas/core/indexing.py", line 1685, in _validate_integer
raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds
```

So, I asked a different question and this time it didn't crash:

```
# python example.py "If I bought 100 shares of HMNY stock on 2004-01-01, how much did I pay for them and how much were they worth on 2018-07-31?"
2024-05-11 04:13:56,098 Calling get_price with symbol='HMNY' and date='2004-01-01'
2024-05-11 04:14:03,959 Calling get_price with symbol='HMNY' and date='2018-07-31'
2024-05-11 04:14:05,468 Calling calculate with a=2275, b=100 and op='mul'
2024-05-11 04:14:06,388 Calling calculate with a=0.4959999918937683, b=100 and op='mul'
********************************************************************************
['user', 'system', 'assistant', 'function', 'assistant', 'function', 'assistant', 'function', 'assistant', 'function', 'assistant']
********************************************************************************
You paid $2,275 for 100 shares of HMNY stock on January 1, 2004.

On July 31, 2018, each share of HMNY stock was worth $0.496.

Therefore, your 100 shares of HMNY stock were worth $49.60 on July 31, 2018.
```

This rather puzzled me so later on, I asked the same question that failed before but this time no crash:
```
# python example.py "If I bought 100 shares of HMNY stock on 2004-01-01, how much did I pay for them and how much are they worth today?"
2024-05-11 04:14:59,328 Calling get_price with symbol='HMNY' and date='2004-01-01'
2024-05-11 04:15:01,679 Calling get_price with symbol='HMNY' and date='2024-05-11'
2024-05-11 04:15:03,448 Calling calculate with a=2275, b=100 and op='mul'
2024-05-11 04:15:04,363 Calling calculate with a=0.00019999999494757503, b=100 and op='mul'
********************************************************************************
['user', 'system', 'assistant', 'function', 'assistant', 'function', 'assistant', 'function', 'assistant', 'function', 'assistant']
********************************************************************************
If you bought 100 shares of HMNY stock on 2004-01-01, you would have paid $2,275 for them.

As of today (2024-05-11), each share of HMNY stock is worth $0.0002. Therefore, your 100 shares would be worth $0.02.
```

It looks like OpenAI can be unstable at times...

Start with example.py and the get_price calls shown in the traceback. Reproduce both HMNY commands, compare the logged dates and returned history, and determine why the current-date request can become empty or invalid. Done means the failure is understood and the example reports or handles that case without an IndexError.

Written by the indexing model from the issue text.