Add application file

Dockerfile

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+## Use the official Python 3.9 image
+FROM python:3.9
+
+## set the working directory to /code
+WORKDIR /code
+
+## Copy the current directory contents in the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+## Install the requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" 
+RUN useradd user
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+## Start the FASTAPI App on port 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI, Body
+from crewai import Crew, Process
+from agents import SneakerAgents
+from tasks import SneakerTasks
+from tools.search_tools import SearchTools
+from dotenv import load_dotenv
+import os
+
+# Load environment variables
+dotenv_path = os.path.join(os.path.dirname(__file__), '.env')
+load_dotenv(dotenv_path)
+
+# Initialize the SearchTools, SneakerAgents, and SneakerTasks once
+search_tools = SearchTools()
+agents = SneakerAgents(search_tools)
+tasks = SneakerTasks()
+
+
+class SneakerCrew:
+    def __init__(self, brand, gender):
+        self.brand = brand
+        self.gender = gender
+
+    def run(self):
+        # Sequential initialization of agents
+        sneaker_expert = agents.sneaker_expert()
+        resale_expert = agents.resale_expert()
+
+        # Sequential creation of tasks
+        combined_task = tasks.suggest_and_fetch_upcoming_shoes(sneaker_expert, self.brand, self.gender)
+        estimate_resale_value_task = tasks.estimate_resale_value(resale_expert, self.brand)
+
+        # Initialize the crew sequentially
+        crew = Crew(
+            agents=[sneaker_expert, resale_expert],
+            tasks=[combined_task, estimate_resale_value_task],
+            verbose=True,
+            process=Process.sequential
+        )
+
+        result = crew.kickoff()
+        return result
+
+
+app = FastAPI()
+
+
+@app.post("/sneaker_worth_finder")
+def sneaker_worth_finder(brand: str = Body(...), gender: str = Body(...)):
+    sneaker_crew = SneakerCrew(brand, gender)
+    result = sneaker_crew.run()
+    return result
+
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8002)

requirements.txt

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+unstructured==0.10.25
+pyowm==3.3.0
+python-dotenv==1.0.0
+crewai>=0.1.24,<0.2.0 
+langchain-google-genai<1.1.0,>=1.0.4
+langchain-core<0.3.0,>=0.1.45
+langsmith<0.2.0,>=0.1.0
+asyncio
+fastapi>=0.74
+requests==2.27.*
+uvicorn[standard]==0.17.*