Fixing Errors - WIP - Making improvements, content workflows

lib/gpt_providers/text_generation/gemini_pro_text.py

@@ -52,3 +52,47 @@ def gemini_text_response(prompt, temperature, top_p, n, max_tokens, system_promp
         return response.text
     except Exception as err:
         logger.error(f"Failed to get response from Gemini: {err}. Retrying.")
+
+
+#@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
+#def gemini_blog_metadata_json(blog_content):
+#    """ Common functiont to get response from gemini pro Text. """
+#    prompt =  f"I will provide you with the content of a blog post. Based on this content, you need to generate the following elements in JSON format:\n\n1. **Blog Title**: A compelling and relevant title that summarizes the blog content.\n2. **Meta Description**: A concise meta description (up to 160 characters) that captures the essence of the blog post and encourages clicks.\n3. **Tags**: A list of 5-10 relevant tags that represent the key topics covered in the blog post.\n4. **Categories**: A list of 1-3 appropriate categories that best describe the blog post's main themes.\n\nOutput your response in the following JSON format:\n\n```json\n{\n  \"type\": \"object\",\n  \"properties\": {\n    \"blog_title\": {\n      \"type\": \"string\"\n    },\n    \"meta_description\": {\n      \"type\": \"string\"\n    },\n    \"tags\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"categories\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    }\n  }\n}\n\n. The Blog Content is given below: \n\n{blog_content}\n\n"
+#    
+#    try:
+#        genai.configure(api_key=os.getenv('GEMINI_API_KEY'))
+#    except Exception as err:
+#        logger.error(f"Failed to configure Gemini: {err}")
+#
+#    # Create the model
+#    generation_config = {
+#        "temperature": 1,
+#        "top_p": 0.95,
+#        "top_k": 64,
+#        "max_output_tokens": 8192,
+#        "response_schema": content.Schema(
+#        type = content.Type.OBJECT,
+#            properties = {
+#                "response": content.Schema(
+#                    type = content.Type.STRING,
+#                    ),
+#            },
+#        ),
+#        "response_mime_type": "application/json",
+#    }
+#
+#    model = genai.GenerativeModel(
+#        model_name="gemini-1.5-flash",
+#        generation_config=generation_config,
+#        # safety_settings = Adjust safety settings
+#        # See https://ai.google.dev/gemini-api/docs/safety-settings
+#        )
+#
+#        try:
+#        # text_response = []
+#        response = model.generate_content(prompt)
+#        if response:
+#            logger.info(f"Number of Token in Prompt Sent: {model.count_tokens(prompt)}")
+#            return response.text
+#    except Exception as err:
+#        logger.error(f"Failed to get SEO METADATA from Gemini: {err}. Retrying.")