add api_key as parameter instead of .env file

Author: VinciGit00

README.md

@@ -16,11 +16,19 @@ The reference page for Scrapegraph-ai is avaible on the official page of pypy: [
 pip install scrapegraphai
 ```
 ## 🔍 Demo
+Official streamlit demo:
 
-Try out ScrapeGraphAI in your browser:
+[![My Skills](https://skillicons.dev/icons?i=react)](https://scrapegraphaimockup.streamlit.app/)
+
+Is it possible to try also the colab version
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)
 
+Try out ScrapeGraphAI in your browser:
+
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/VinciGit00/Scrapegraph-ai)
+
+
 ## 📖 Documentation
 
 The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/).
@@ -78,10 +86,13 @@ For more information, please see the [contributing guidelines](https://github.co
 
 Join our Discord server to discuss with us improvements and give us suggestions!
 
-[![Join Discord Server](https://img.shields.io/badge/Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/DujC7HG8)
- 
+[![My Skills](https://skillicons.dev/icons?i=discord)](https://discord.gg/DujC7HG8)
+
+
 You can also follow all the updates on linkedin!
-[![Linkedin Badge](https://img.shields.io/badge/-Linkedin-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/company/scrapegraphai/)
+
+[![My Skills](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/company/scrapegraphai/)
+
 
 ## Contributors
 [![Contributors](https://contrib.rocks/image?repo=VinciGit00/Scrapegraph-ai)](https://github.com/VinciGit00/Scrapegraph-ai/graphs/contributors)

scrapegraphai/evaluetor/trulens_evaluetor.py

@@ -1,7 +1,8 @@
-import os
-from scrapegraphai.graphs import SmartScraperGraph
-from openai import OpenAI
+"""Module for making the RAG"""
 from trulens_eval import Feedback, OpenAI as fOpenAI, Tru, Provider, Select, TruBasicApp
+from openai import OpenAI
+from scrapegraphai.graphs import SmartScraperGraph
+
 
 class TrulensEvaluator:
     """
@@ -16,20 +17,27 @@ class TrulensEvaluator:
         llm_standalone: Standalone function for Trulens evaluation.
     """
 
-    def __init__(self):
+    def __init__(self, key: str):
+        """ 
+            Initialization of the class
+            Arguments:
+            -  key (str): openai key
+        """
         standalone = StandAlone()
         f_custom_function = Feedback(standalone.json_complaint).on(
             my_text_field=Select.RecordOutput
         )
-        os.environ["OPENAI_API_KEY"] = os.environ["OPENAI_APIKEY"]
-        client = OpenAI()
+        client = OpenAI(api_key=key)
         tru = Tru()
         tru.reset_database()
         fopenai = fOpenAI()
         f_relevance = Feedback(self.fopenai.relevance).on_input_output()
-        tru_llm_standalone_recorder = TruBasicApp(self.llm_standalone, app_id="smart_scraper_evaluator", feedbacks=[self.f_relevance, self.f_custom_function])
+        tru_llm_standalone_recorder = TruBasicApp(self.llm_standalone,
+                                                  app_id="smart_scraper_evaluator",
+                                                  feedbacks=[self.f_relevance,
+                                                             self.f_custom_function])
 
-    def evaluate(self, graph_params : list[tuple[str, str, dict]]):
+    def evaluate(self, graph_params: list[tuple[str, str, dict]]):
         """
         Evaluates Trulens using SmartScraperGraph and starts the dashboard.
 
@@ -59,13 +67,18 @@ def llm_standalone(self, prompt, response):
         print(f"Prompt: {prompt}")
         return str(response)
 
-"""
-Class for standalone Trulens evaluation. Personalise
-"""
+
 class StandAlone(Provider):
+    """
+    Class for standalone Trulens evaluation. 
+    """
+
     def json_complaint(self, my_text_field: str) -> float:
+        """ 
+        Args:
+            - my_text_field (str): textfield
+        """
         if '{' in my_text_field and '}' in my_text_field and ':' in my_text_field:
             return 1.0
         else:
             return 0.0
-