Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,68 +1,70 @@
 import streamlit as st
 import os
-import uuid
+import geocoder
+import pandas as pd
 from datetime import datetime
-from huggingface_hub import upload_file
-from streamlit_js_eval import streamlit_js_eval
 
-# Dataset repo details
-REPO_ID = "your-username/temple-submissions"  # change to your repo
-HF_TOKEN = st.secrets["HF_TOKEN"]  # must add in Hugging Face secrets
-
-st.set_page_config(page_title="Temple Submission", layout="centered")
-
-st.title("🛕 Temple History Submission")
-
-with st.form("temple_form", clear_on_submit=False):
-    name = st.text_input("Temple Name")
-    lang = st.text_input("Language")
-    location = st.text_input("📍 Location")
-    latitude = st.text_input("Latitude")
-    longitude = st.text_input("Longitude")
-
-    st.markdown("#### 📎 Upload Media")
-
-    image = st.file_uploader("Upload Image", type=["jpg", "jpeg", "png"])
-    media = st.file_uploader("Upload Audio or Video", type=["mp3", "wav", "m4a", "mp4", "mov", "mpeg4"])
-
-    if st.form_submit_button("📩 Submit"):
-        uid = str(uuid.uuid4())[:8]
-        folder = f"{uid}_{datetime.now().strftime('%Y%m%d%H%M%S')}"
-
-        os.makedirs("/tmp/" + folder, exist_ok=True)
-
-        # Save info text
-        info_file = f"/tmp/{folder}/info.txt"
-        with open(info_file, "w", encoding="utf-8") as f:
-            f.write(f"Temple Name: {name}\nLanguage: {lang}\nLocation: {location}\nLatitude: {latitude}\nLongitude: {longitude}")
-
-        upload_file(info_file, f"{folder}/info.txt", repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN)
-
-        if image:
-            image_path = f"/tmp/{folder}/{image.name}"
-            with open(image_path, "wb") as f:
-                f.write(image.getbuffer())
-            upload_file(image_path, f"{folder}/{image.name}", repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN)
-
-        if media:
-            media_path = f"/tmp/{folder}/{media.name}"
-            with open(media_path, "wb") as f:
-                f.write(media.getbuffer())
-            upload_file(media_path, f"{folder}/{media.name}", repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN)
-
-        st.success("✅ Submission uploaded successfully!")
-
-# Auto location button
-js = streamlit_js_eval(js_expressions="navigator.geolocation.getCurrentPosition((loc) => { window.streamlitLatitude = loc.coords.latitude; window.streamlitLongitude = loc.coords.longitude; }, console.error)", key="geo")
-if js and js.get("window.streamlitLatitude"):
-    st.session_state["latitude"] = js["window.streamlitLatitude"]
-    st.session_state["longitude"] = js["window.streamlitLongitude"]
-    st.experimental_rerun()
-
-if "latitude" in st.session_state:
-    st.text_input("Latitude", value=str(st.session_state["latitude"]), key="lat_input")
-if "longitude" in st.session_state:
-    st.text_input("Longitude", value=str(st.session_state["longitude"]), key="lon_input")
-
-if st.button("📍 Auto Detect Location"):
-    pass  # triggers JS above
+# Create submissions folder if not exists
+UPLOAD_FOLDER = "submissions"
+os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+
+# CSV to track uploads
+CSV_LOG = "submissions_log.csv"
+
+# Title
+st.title("📸 Upload Image with Geo Coordinates")
+
+# File uploader
+uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+
+# Detect location on button click
+if st.button("📍 Detect Location"):
+    g = geocoder.ip('me')
+    if g.ok:
+        lat, lon = g.latlng
+        st.session_state['location'] = {'lat': lat, 'lon': lon}
+        st.success(f"📍 Location Detected: ({lat}, {lon})")
+    else:
+        st.error("❌ Failed to detect location")
+
+# Show current detected coordinates
+if 'location' in st.session_state:
+    st.write("**Latitude:**", st.session_state['location']['lat'])
+    st.write("**Longitude:**", st.session_state['location']['lon'])
+
+# Save file with timestamp and location
+if uploaded_file and 'location' in st.session_state:
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    filename = f"{timestamp}_{uploaded_file.name}"
+    file_path = os.path.join(UPLOAD_FOLDER, filename)
+    
+    # Save image
+    with open(file_path, "wb") as f:
+        f.write(uploaded_file.getbuffer())
+    
+    st.success(f"✅ Saved file as {filename}")
+
+    # Log to CSV
+    entry = {
+        "timestamp": timestamp,
+        "filename": filename,
+        "latitude": st.session_state['location']['lat'],
+        "longitude": st.session_state['location']['lon']
+    }
+
+    # Append to log
+    if os.path.exists(CSV_LOG):
+        df = pd.read_csv(CSV_LOG)
+        df = pd.concat([df, pd.DataFrame([entry])], ignore_index=True)
+    else:
+        df = pd.DataFrame([entry])
+    df.to_csv(CSV_LOG, index=False)
+
+    # Show the saved log
+    st.subheader("📄 Upload History")
+    st.dataframe(df)
+else:
+    if not uploaded_file:
+        st.info("📁 Please upload an image.")
+    elif 'location' not in st.session_state:
+        st.info("📍 Click 'Detect Location' first.")