Update app.py

app.py

@@ -2,48 +2,48 @@ import gradio as gr
 import pandas as pd
 import json
 
-# --- Your custom function ---
-def my_function(data_list):
-    # Example transformation – replace this with your logic
-    df = pd.DataFrame(data_list)
-    df["new_col"] = df.index + 1
-    return df
-
-# --- Wrapper for Gradio ---
-def process_json_list(json_text):
-    try:
-        # Parse JSON list input
-        data = json.loads(json_text)
-        if not isinstance(data, list):
-            return None, "Error: Input must be a JSON list of objects"
-        
-        # Apply your function
-        df = my_function(data)
-        
-        # Save to CSV
-        csv_path = "output.csv"
-        df.to_csv(csv_path, index=False)
-        
-        return df, csv_path
-    except Exception as e:
-        return None, f"Error: {str(e)}"
-
-# --- Gradio Interface ---
+def process_inputs(user_input_json, session_id_json, project_id_json, chat_url, update_vars_json, output_vars_json):
+    # Convert JSON strings into Python lists
+    user_input = json.loads(user_input_json)
+    session_id = json.loads(session_id_json)
+    project_id = json.loads(project_id_json)
+    update_vars = json.loads(update_vars_json)
+    output_vars = json.loads(output_vars_json)
+
+    # --- Your function logic here ---
+    df = pd.DataFrame({
+        "user_input": user_input,
+        "session_id": session_id,
+        "project_id": project_id,
+        "chat_url": [chat_url] * len(user_input),
+        "update_variables": update_vars,
+        "output_variables": output_vars
+    })
+
+    csv_path = "output.csv"
+    df.to_csv(csv_path, index=False)
+    return df, csv_path
+
+
 with gr.Blocks() as demo:
-    gr.Markdown("## 🧠 JSON → DataFrame → CSV Converter")
-    gr.Markdown("Paste your JSON list below and get both a table and downloadable CSV.")
-    
-    json_input = gr.Code(
-        label="Input JSON List",
-        language="json",
-        value='[{"name": "Alice", "age": 25}, {"name": "Bob", "age": 30}]'
-    )
+    gr.Markdown("## 💬 JSON Input ➜ DataFrame ➜ CSV Export")
+
+    user_input = gr.Code(label="user_input (list[str] or list[list[str]])", language="json", value='["Hello", ["Hi", "How are you?"]]')
+    session_id = gr.Code(label="session_id (list[str])", language="json", value='["s1", "s2"]')
+    project_id = gr.Code(label="project_id (list[str])", language="json", value='["p1", "p2"]')
+    chat_url = gr.Textbox(label="chat_url", value="https://example.com/chat")
+    update_vars = gr.Code(label="update_variables (list[str])", language="json", value='["update1", "update2"]')
+    output_vars = gr.Code(label="output_variables (list[str])", language="json", value='["out1", "out2"]')
 
-    run_btn = gr.Button("Convert")
+    run_btn = gr.Button("Run Function")
 
-    df_output = gr.Dataframe(label="Processed DataFrame", interactive=False)
+    df_output = gr.Dataframe(label="Output DataFrame", interactive=False)
     file_output = gr.File(label="Download CSV")
 
-    run_btn.click(fn=process_json_list, inputs=json_input, outputs=[df_output, file_output])
+    run_btn.click(
+        fn=process_inputs,
+        inputs=[user_input, session_id, project_id, chat_url, update_vars, output_vars],
+        outputs=[df_output, file_output]
+    )
 
 demo.launch()