Merge branch 'master' of https://gitlab.mynisum.com/lsingh/cv_filter_tool

src/api.py

+from fastapi import APIRouter, HTTPException
+from fastapi.responses import FileResponse
+from pydantic import BaseModel
+import os
+
+router = APIRouter()
+
+# Define a Pydantic model for the data we expect in the POST request
+class InputData(BaseModel):
+    jobTitle: str
+    department: str
+    jobDescription: str
+
+# POST endpoint
+@router.post("/submit/")
+async def submit_data(data: InputData):
+    # Here, you can process the data (e.g., save it to a database)
+    return {"message": "Data received successfully!", "data": data.dict()}
+
+@router.get("/read-file")
+async def read_file(file_path: str):
+    # Define the base directory for public files
+    base_dir = "/path/to/public/drive"
+
+    # Construct the full file path
+    full_path = os.path.join(base_dir, file_path)
+
+    # Check if the file exists
+    if not os.path.isfile(full_path):
+        raise HTTPException(status_code=404, detail="File not found")
+
+    # Return the file as a response
+    return FileResponse(full_path)
+
+@router.get("/hello")
+async def hello_world():
+    return {"message": "Hello, World!"}
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src/dashboard.py

 import streamlit as st
+import requests
+
+# FastAPI URL (assuming it is running locally on port 8000)
+API_URL = "http://127.0.0.1:8000/submit/"
 
 # Title of the app
 st.title("Enter JD to fetch resumes!")
@@ -11,9 +15,17 @@ job_description = st.text_area("Job Description", height=200)
 # Add a submit button
 if st.button("Submit"):
     if job_title and department and job_description:
-        st.success("Job Description Submitted Successfully!")
-        st.write(f"**Job Title:** {job_title}")
-        st.write(f"**Department:** {department}")
-        st.write(f"**Job Description:** {job_description}")
-    else:
-        st.error("Please fill in all the fields.")
+        data = {
+            "jobTitle": job_title,
+            "department": department,
+            "jobDescription": job_description
+        }
+        response = requests.post(API_URL, json=data)
+        # If the request is successful, display the response
+        if response.status_code == 200:
+            result = response.json()
+            st.success(result['message'])
+            st.write("Received Data:", result['data'])
+        else:
+            st.error(f"Error: {response.status_code}")
+    else:
\ No newline at end of file

src/main.py

+from fastapi import FastAPI
+from src.api import router
+
+app = FastAPI()
+
+app.include_router(router)
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)
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src/requirements.txt

@@ -3,4 +3,7 @@ PyPDF2
 scikit-learn
 transformers
 streamlit
-
+fastapi
+uvicorn
+requests
+router
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