Upload 2 files

app.py

@@ -602,7 +602,7 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         )
         single_output = gr.JSON(label="Embedding Result")
         single_btn = gr.Button("Generate Embedding", variant="primary")
-        single_btn.click(fn=get_embedding, inputs=text_input, outputs=single_output)
+        single_btn.click(fn=get_embedding, inputs=text_input, outputs=single_output, api_name="get_embedding")
     
     with gr.Tab("📦 Batch Embedding"):
         gr.Markdown("Generate embeddings untuk multiple teks sekaligus")
@@ -613,7 +613,7 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         )
         batch_output = gr.JSON(label="Embeddings Result")
         batch_btn = gr.Button("Generate Embeddings", variant="primary")
-        batch_btn.click(fn=get_embeddings_batch, inputs=batch_input, outputs=batch_output)
+        batch_btn.click(fn=get_embeddings_batch, inputs=batch_input, outputs=batch_output, api_name="get_embeddings_batch")
     
     with gr.Tab("📊 Similarity Check"):
         gr.Markdown("Hitung kemiripan semantik antara dua teks")
@@ -622,7 +622,7 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
             sim_text2 = gr.Textbox(label="Text 2", placeholder="Teks kedua...", lines=2)
         sim_output = gr.JSON(label="Similarity Result")
         sim_btn = gr.Button("Calculate Similarity", variant="primary")
-        sim_btn.click(fn=calculate_similarity, inputs=[sim_text1, sim_text2], outputs=sim_output)
+        sim_btn.click(fn=calculate_similarity, inputs=[sim_text1, sim_text2], outputs=sim_output, api_name="calculate_similarity")
     
     with gr.Tab("💾 Database (Supabase)"):
         gr.Markdown("### Supabase Cache Operations")
@@ -632,14 +632,14 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         with gr.Row():
             db_check_btn = gr.Button("🔌 Check Connection", variant="secondary")
             db_check_output = gr.JSON(label="Connection Status")
-            db_check_btn.click(fn=db_check_connection, outputs=db_check_output)
+            db_check_btn.click(fn=db_check_connection, outputs=db_check_output, api_name="db_check_connection")
         
         gr.Markdown("---")
         
         gr.Markdown("#### Get All Cached Embeddings")
         db_all_btn = gr.Button("📥 Get All Embeddings", variant="primary")
         db_all_output = gr.JSON(label="All Embeddings")
-        db_all_btn.click(fn=db_get_all_embeddings, outputs=db_all_output)
+        db_all_btn.click(fn=db_get_all_embeddings, outputs=db_all_output, api_name="db_get_all_embeddings")
         
         gr.Markdown("---")
         
@@ -649,7 +649,7 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
             db_hash_input = gr.Textbox(label="Content Hash", placeholder="abc123...")
         db_get_btn = gr.Button("🔍 Get Embedding", variant="primary")
         db_get_output = gr.JSON(label="Embedding Result")
-        db_get_btn.click(fn=db_get_embedding, inputs=[db_nim_input, db_hash_input], outputs=db_get_output)
+        db_get_btn.click(fn=db_get_embedding, inputs=[db_nim_input, db_hash_input], outputs=db_get_output, api_name="db_get_embedding")
     
     with gr.Tab("🤖 LLM Analysis (Gemini)"):
         gr.Markdown("### Analisis Kemiripan dengan LLM")
@@ -658,7 +658,7 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         with gr.Row():
             llm_check_btn = gr.Button("🔌 Check Gemini Status", variant="secondary")
             llm_check_output = gr.JSON(label="Gemini Status")
-            llm_check_btn.click(fn=llm_check_status, outputs=llm_check_output)
+            llm_check_btn.click(fn=llm_check_status, outputs=llm_check_output, api_name="llm_check_status")
         
         gr.Markdown("---")
         
@@ -676,7 +676,8 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         llm_simple_btn.click(
             fn=llm_analyze_simple, 
             inputs=[llm_judul1, llm_judul2, llm_metode1, llm_metode2], 
-            outputs=llm_simple_output
+            outputs=llm_simple_output,
+            api_name="llm_analyze_simple"
         )
         
         gr.Markdown("---")
@@ -703,7 +704,8 @@ with gr.Blocks(title="Semantic Embedding API") as demo:
         llm_full_btn.click(
             fn=llm_analyze_pair, 
             inputs=[llm_proposal1, llm_proposal2, llm_use_cache], 
-            outputs=llm_full_output
+            outputs=llm_full_output,
+            api_name="llm_analyze_pair"
         )
         
         gr.Markdown("""
@@ -750,6 +752,13 @@ const dataResponse = await fetch(`YOUR_SPACE_URL/gradio_api/call/db_get_all_embe
     
     gr.Markdown("---")
     gr.Markdown("*Dibuat untuk Monitoring Proposal Skripsi KK E - UNIKOM*")
+    
+    # Hidden API-only endpoints (tidak tampil di UI, tapi bisa diakses via API)
+    with gr.Row(visible=False):
+        api_save_input = gr.Textbox()
+        api_save_output = gr.JSON()
+        api_save_btn = gr.Button()
+        api_save_btn.click(fn=db_save_embedding, inputs=api_save_input, outputs=api_save_output, api_name="db_save_embedding")
 
 # Launch dengan API enabled
 demo.launch()