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app.py

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+
+# from dotenv import load_dotenv
+# # from crewai import Agent,Task,Crew
+# # from crewai_tools import SerperDevTool
+# # from langchain_google_genai import ChatGoogleGenerativeAI
+# # from langchain_fireworks import Fireworks
+# import os 
+# from typing import List
+# # from pydantic import BaseModel
+# from langchain_groq import ChatGroq
+# load_dotenv()
+
+
+# # search_internet=SerperDevTool()
+
+# # model_id="mixtral-8x7b-instruct"
+# # url=f"accounts/fireworks/models/{model_id}"
+
+# # llm=Fireworks(
+# #     model=url,
+# #     temperature=0.1
+    
+# # )
+
+
+# # class NamedUrl(BaseModel):
+# #     title: str
+# #     url: str
+
+
+# # class ArticlesUrlList(BaseModel):
+# #     articles: List[NamedUrl]
+
+
+
+# # research_agent=Agent(
+# #             role="Company Research Manager",
+# #             goal="""Look up the web and find urls and titles for 3 recent blog articles about agents powered by llm's models. It is your job to return this collected 
+# #                 information in a JSON object.
+# #                 """,
+# #             backstory="""As a Company Research Manager, you are responsible for aggregating all the researched information.""",
+# #             llm=llm,
+# #             tools=[search_internet],
+# #             verbose=True,
+# #             allow_delegation=True
+# # )
+# # research_task=Task(
+# #      description="""Research for 3 recent blog articles about agents powered by llm's models.
+# #                 Return this collected information in a JSON object.
+                                            
+# #                 Important:
+# #                 - Once you've found the information, immediately stop searching for additional information.
+# #                 - Only return the requested information. NOTHING ELSE!
+# #                 - Do not generate fake information. Only return the information you find. Nothing else!
+# #                 - Do not stop researching until you find the requested information for each position in the company.
+# #                 """,
+# #             agent=research_agent,
+# #             expected_output="""A JSON object containing the researched information such as title of the article and url.""",
+# #             output_json=NamedUrl,
+# #             async_execution=True
+# # )
+
+# # writer_agent=Agent(
+# #              role="Company Writer Agent",
+# #             goal="""Look up the specific information provided and return a list of JSON object, each json object must contain a title and url field""",
+# #             backstory="""As a Company Research Agent, you are responsible for looking up especific information about articles.
+                
+# #                 Important:
+# #                 - Once you've found the information, immediately stop searching for additional information.
+# #                 - Only return the requested information. NOTHING ELSE!
+# #                 - Do not generate fake information. Only return the information you find. Nothing else!
+# #                 """,
+# #             tools=[search_internet],
+# #             llm=llm,
+# #             verbose=True
+# # )
+# # writer_task=Task(
+# #                 description="""Look up the specific information provided and return a list of JSON object, each json object must contain a title and url field.
+                                      
+# #                 Important:
+# #                 - Once you've found the information, immediately stop searching for additional information.
+# #                 - Only return the requested information. NOTHING ELSE!
+# #                 - Do not generate fake information. Only return the information you find. Nothing else!
+# #                 - Do not stop researching until you find the requested information .
+# #                 """,
+# #             agent=writer_agent,
+# #             expected_output="""A List of JSON objects containing the researched information .""",
+# #             output_json=ArticlesUrlList,
+# #             async_execution=True
+# # )
+
+# # crew=Crew(
+# #     agents=[research_agent,writer_agent],
+# #     tasks=[research_task,writer_task],
+# #     manager_llm=ChatGoogleGenerativeAI(
+# #         model="gemini-pro",
+# #         google_api_key=os.getenv("GOOGLE_API_KEY"),
+# #         temperature=0.1,
+# #     ),
+# #     verbose=2
+# # )
+
+
+# # crew.kickoff()
+
+# from typing import List
+# from langchain_core.output_parsers import JsonOutputParser
+
+# search_internet=SerperDevTool()
+
+# model_mistral="mixtral-8x7b-32768"
+# model_llama="Llama3-8b-8192"
+# llm=ChatGroq(
+#             api_key=os.environ["GROQ_API_KEY"],
+#             model=model_llama,
+#         )
+
+
+
+# class Article(BaseModel):
+#     title:str
+#     date:str
+#     url:str
+
+# class ListArticles(BaseModel):
+#     articles: List[Article]
+
+
+# research_agent=Agent(
+#     role="Assistant",
+#     goal="Your work is to search for 2 new articles about agents powered by lenguaje large models and return each of them as a json object",
+#     backstory="""As an assistant you need to search the web and find 2 articles about llm agents.""",
+#     llm=llm,
+#     tools=[search_internet],
+#     verbose=True
+            
+# )
+# research_task=Task(
+#     description="Search the web and return 2 articles, each article must be contain its url, title and date. If the date is not available then the default value is MISSING",
+#     agent=research_agent,
+#     expected_output="A list of json objects , where each object must be contain title, date and url. Only return the list of json objects nothing else",
+#     output_json=ListArticles,
+#     llm=llm
+          
+# )
+
+# crew=Crew(
+#     agents=[research_agent],
+#     tasks=[research_task],
+#     verbose=True,
+#     manager_llm=ChatGoogleGenerativeAI(model="gemini-pro",google_api_key=os.getenv("GOOGLE_API_KEY"),temperature=0.1)
+# )
+
+
+# from flask import Flask,jsonify,abort
+# from flask_cors import CORS
+# from langchain_core.output_parsers import StrOutputParser
+# app=Flask(__name__)
+
+# CORS(app, resources={r"/api/*": {"origins": "*"}})
+
+# @app.route("/",methods=["GET"])
+# def fetch_news():
+#     chain=llm|StrOutputParser()
+#     response=chain.invoke(input="Tell me a joke about bears")
+#     if not response:
+#         abort(404,"Something were wrong durion teh petition")
+#     print(response)
+#     return jsonify(response)
+
+# if __name__ == '__main__':
+#     app.run(debug=True, port=3001)
+from crewai import Agent, Task, Crew, Process
+from langchain_google_genai import ChatGoogleGenerativeAI
+import gradio as gr
+from crewai_tools import SerperDevTool
+from langchain_groq import ChatGroq
+
+import os
+
+search_internet=SerperDevTool()
+
+model_mistral="mixtral-8x7b-32768"
+model_llama="Llama3-8b-8192"
+llm=ChatGroq(
+            api_key=os.environ["GROQ_API_KEY"],
+            model=model_llama,
+        )
+
+
+# Set gemini pro as llm
+llm = ChatGoogleGenerativeAI(model="gemini-pro",
+                             verbose=True,
+                             temperature=0.5,
+                             google_api_key=os.environ["GOOGLE_API_KEY"])
+
+
+def create_crewai_setup(topic):
+    # Define Agents
+    search_agent = Agent(
+        role="Expert Researcher",
+        goal=f"""A list of urls article about the {topic}. The articlesare suposed to be from a recent date""",
+        backstory=f"""You are an expert at searching the web and find the latest news related with AI.""",
+        verbose=True,
+        llm=llm,
+        allow_delegation=True,
+        tools=[search_internet],
+    )
+    
+
+    # Check if the person has a disease
+    search_task = Task(
+            description=f"""Return a 3 urls from articles in teh web related the topic of {topic}
+                The urls articles need to be recent""",
+            expected_output="A list of 3 url from articles about the espcified topic",
+            agent=search_agent,
+            llm=llm
+    )
+ 
+        
+    health_crew = Crew(
+            agents=[search_agent],
+            tasks=[search_task],
+            verbose=2,
+            process=Process.sequential,
+    )
+
+    # Create and Run the Crew
+    crew_result = health_crew.kickoff()
+
+    return crew_result
+
+# Gradio interface
+def run_crewai_app(age, gender, disease):
+    crew_result = create_crewai_setup(age, gender, disease)
+    return crew_result
+
+iface = gr.Interface(
+    fn=run_crewai_app, 
+    inputs=["text"], 
+    outputs=["text"],
+    title="CrewAI Basic App",
+    description="Enter The Topic|"
+)
+
+iface.launch()

requirements.txt

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+python-dotenv 
+langchain-google-genai
+# langchain-fireworks 
+# langchain
+pydantic 
+crewai
+crewai[tools]
+langchain-groq 
+# flask
+# flask-cors
+# gunicorn
+gradio
+#langchain-community