Fixed bugs and changes in Blog generation template and prompts. WIP.

lib/gpt_providers/README.md

@@ -0,0 +1,19 @@
+gpt_providers are companies providing commercial/free GPT pre-trained models as saas.
+These include openai, Azure, Goodle, FB, Anthrophic etc
+
+- If you want to use chatgpt and its models, then use openai as gpt_provider
+- We plan to integrate most the accurate, widely used models as gpt providers.
+- These will also include text to image and video generations as blogging artifacts.
+
+gpt_provider=openai 
+
+------------------------------------
+
+Here are some tips for using LLMs to generate ideas:
+
+- Be as specific as possible in your prompts. The more specific you are, the better the LLM will 
+be able to understand what you are asking for.
+- Use keywords in your prompts. This will help the LLM to generate ideas that are relevant to your topic.
+- Try different temperatures and top_p values. These parameters control the creativity and diversity of the generated ideas.
+- Experiment with different prompts and settings to see what works best for you.
+

lib/gpt_providers/openai_gpt_provider.py

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+########################################################
+#
+# openai chatgpt integration for blog generation.
+# Choosing a model from openai and fine tuning its various paramters. 
+#
+########################################################
+
+from tqdm import tqdm, trange
+import openai
+import time # I wish
+
+
+def openai_chatgpt(prompt, model="text-davinci-003", temperature=0.5, max_tokens=2048, top_p=0.9, n=10):
+    try:
+        # Error in generating topic content: Rate limit reached for default-global-with-image-limits
+        # in free account on requests per min. Limit: 3 / min. Please try again in 20s.
+        for i in trange(21):
+            time.sleep(1)
+        # using OpenAI's Completion module that helps execute
+        # any tasks involving text
+        response = openai.Completion.create(
+            # model name used here is text-davinci-003
+            # there are many other models available under the
+            # umbrella of GPT-3
+            model="text-davinci-003",
+            # passing the user input
+            prompt=prompt,
+            # generated output can have "max_tokens" number of tokens
+            max_tokens=max_tokens,
+            # number of outputs generated in one call
+            n=n,
+            top_p=top_p,
+            #frequency_penalty=0,
+            #presence_penalty=0
+        )
+        return(response)
+    except openai.error.Timeout as e:
+       #Handle timeout error, e.g. retry or log
+       SystemError(f"OpenAI API request timed out: {e}")
+    except openai.error.APIError as e:
+       #Handle API error, e.g. retry or log
+       SystemError(f"OpenAI API returned an API Error: {e}")
+    except openai.error.APIConnectionError as e:
+       #Handle connection error, e.g. check network or log
+       SystemError(f"OpenAI API request failed to connect: {e}")
+    except openai.error.InvalidRequestError as e:
+       #Handle invalid request error, e.g. validate parameters or log
+       SystemError(f"OpenAI API request was invalid: {e}")
+    except openai.error.AuthenticationError as e:
+       #Handle authentication error, e.g. check credentials or log
+       SystemError(f"OpenAI API request was not authorized: {e}")
+    except openai.error.PermissionError as e:
+       #Handle permission error, e.g. check scope or log
+       SystemError(f"OpenAI API request was not permitted: {e}")
+    except openai.error.RateLimitError as e:
+       #Handle rate limit error, e.g. wait or log
+       SystemError(f"OpenAI API request exceeded rate limit: {e}")