try example

app.py

@@ -1,38 +1,62 @@
 import streamlit as st
+from transformers import pipeline
+from PIL import Image
 
-st.set_page_config(page_title="Resume Refinement Tool", layout="wide")
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-st.title("ResumeTailor")
-st.write("Optimize your resume for specific job descriptions")
+st.title("Hot Dog? Or Not?")
 
-col1, col2 = st.columns(2)
+file_name = st.file_uploader("Upload a hot dog candidate image")
 
-with col1:
-    st.header("Inputs")
-    resume_text = st.text_area(
-        "Paste your resume work experience here",
-        height=300,
-        placeholder="Describe your work experience..."
-    )
+if file_name is not None:
+    col1, col2 = st.columns(2)
+
+    image = Image.open(file_name)
+    col1.image(image, use_column_width=True)
+    predictions = pipeline(image)
+
+    col2.header("Probabilities")
+    for p in predictions:
+        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
+
+
+
+
+# import streamlit as st
+
+# st.set_page_config(page_title="Resume Refinement Tool", layout="wide")
+
+# st.title("ResumeTailor")
+# st.write("Optimize your resume for specific job descriptions")
+
+# col1, col2 = st.columns(2)
+
+# with col1:
+#     st.header("Inputs")
+#     resume_text = st.text_area(
+#         "Paste your resume work experience here",
+#         height=300,
+#         placeholder="Describe your work experience..."
+#     )
     
-    job_description = st.text_area(
-        "Paste the job description here",
-        height=300,
-        placeholder="Paste the job requirements..."
-    )
+#     job_description = st.text_area(
+#         "Paste the job description here",
+#         height=300,
+#         placeholder="Paste the job requirements..."
+#     )
     
-    if st.button("Refine Resume", type="primary"):
-        # Here you would call your model
-        refined_resume = "This would be the refined resume after model processing"
-        similarity_score = 0.85  # Example score
+#     if st.button("Refine Resume", type="primary"):
+#         # Here you would call your model
+#         refined_resume = "This would be the refined resume after model processing"
+#         similarity_score = 0.85  # Example score
         
-        with col2:
-            st.header("Results")
-            st.text_area("Refined Work Experience", value=refined_resume, height=300)
-            st.metric("JD Similarity Score", f"{similarity_score:.2f}")
-
-            # st.download_button(
-            #     "Download Refined Resume",
-            #     refined_resume,
-            #     file_name="refined_resume.txt"
-            # )
+#         with col2:
+#             st.header("Results")
+#             st.text_area("Refined Work Experience", value=refined_resume, height=300)
+#             st.metric("JD Similarity Score", f"{similarity_score:.2f}")
+
+#             # st.download_button(
+#             #     "Download Refined Resume",
+#             #     refined_resume,
+#             #     file_name="refined_resume.txt"
+#             # )