Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,73 +1,68 @@
 import streamlit as st
 import os
-import geocoder
-from huggingface_hub import upload_file
+import uuid
 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")
 
-# App Title
-st.title("🛕 Temple Submission App")
-st.write("Upload temple details, image, audio/video with location")
-
-# Input Fields
-temple_name = st.text_input("Temple Name")
-history = st.text_area("Temple History")
-language = st.selectbox("Language", ["Telugu", "Hindi", "Tamil", "English", "Other"])
-
-# Location Detection
-st.subheader("📍 Location")
-col1, col2 = st.columns([1, 2])
-with col1:
-    detect = st.button("Auto Detect Location")
-with col2:
+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")
 
-if detect:
-    g = geocoder.ip('me')
-    if g.latlng:
-        latitude, longitude = str(g.latlng[0]), str(g.latlng[1])
-        st.success(f"Location Detected: {latitude}, {longitude}")
-        st.experimental_rerun()
-
-# Media Upload
-st.subheader("📎 Upload Media")
-image = st.file_uploader("Upload Image (JPG, PNG)", type=["jpg", "jpeg", "png"])
-media = st.file_uploader("Upload Audio or Video", type=["mp3", "wav", "m4a", "mp4", "mov", "mpeg4"])
-
-# Optional email
-email = st.text_input("Email (optional)")
-
-# Submit Button
-if st.button("Submit"):
-    if not temple_name or not history or not language:
-        st.warning("Please fill in all required fields.")
-    elif not image and not media:
-        st.warning("Please upload at least one file (image or media).")
-    else:
-        st.success("Submitting your data...")
-        # Unique ID
-        uid = f"{temple_name.replace(' ', '_')}_{datetime.now().strftime('%Y%m%d%H%M%S')}"
-        base_path = f"submissions/{uid}"
-        
-        hf_token = st.secrets["HF_TOKEN"]
-        repo_id = "your-username/temple-submissions"  # Replace with your actual username
-
-        # Upload text file
-        info_text = f"Temple: {temple_name}\nLanguage: {language}\nHistory: {history}\nLat: {latitude}\nLong: {longitude}\nEmail: {email}"
-        with open("info.txt", "w", encoding="utf-8") as f:
-            f.write(info_text)
-        upload_file("info.txt", f"{base_path}/info.txt", repo_id=repo_id, repo_type="dataset", token=hf_token)
-
-        # Upload image
+    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:
-            with open(image.name, "wb") as f:
+            image_path = f"/tmp/{folder}/{image.name}"
+            with open(image_path, "wb") as f:
                 f.write(image.getbuffer())
-            upload_file(image.name, f"{base_path}/{image.name}", repo_id=repo_id, repo_type="dataset", token=hf_token)
+            upload_file(image_path, f"{folder}/{image.name}", repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN)
 
-        # Upload media
         if media:
-            with open(media.name, "wb") as f:
+            media_path = f"/tmp/{folder}/{media.name}"
+            with open(media_path, "wb") as f:
                 f.write(media.getbuffer())
-            upload_file(media.name, f"{base_path}/{media.name}", repo_id=repo_id, repo_type="dataset", token=hf_token)
+            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