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app (3).py

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+import streamlit as st
+from io import StringIO
+import pandas as pd
+from transformers import pipeline
+
+classifier = pipeline("object-detection", model="chayanee/Detected_img")
+def main():
+    st.title("Detection Img")
+
+    uploaded_file = st.file_uploader("Choose a file")
+    if uploaded_file is not None:
+    # To read file as bytes:
+        bytes_data = uploaded_file.getvalue()
+        st.write(bytes_data)
+
+    # To convert to a string based IO:
+        stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
+        st.write(stringio)
+
+    # To read file as string:
+        string_data = stringio.read()
+        st.write(string_data)
+
+    # Can be used wherever a "file-like" object is accepted:
+        dataframe = pd.read_csv(uploaded_file)
+        st.write(dataframe)
+        
+    st.button("click", type="primary")
+
+if __name__ == "__main__":
+    main()

requirements (1).txt

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+torch
+transformers
+altair<5