save

app.py

@@ -23,15 +23,25 @@ uploaded_file_path = None
 
 # Chat functionality removed - focusing on file analysis
 
+def test_function():
+    """Simple test function to verify Gradio API binding works"""
+    return "✅ API binding test successful!"
+
 def handle_file_upload(file):
     """Handle file upload and store the path globally"""
     global uploaded_file_path
-    if file is not None:
-        uploaded_file_path = file.name
-        return f"✅ File uploaded successfully: {os.path.basename(file.name)}"
-    else:
+    try:
+        if file is not None:
+            # Gradio File component returns the file path directly
+            uploaded_file_path = file
+            filename = os.path.basename(file)
+            return f"✅ File uploaded successfully: {filename}"
+        else:
+            uploaded_file_path = None
+            return "❌ No file uploaded"
+    except Exception as e:
         uploaded_file_path = None
-        return "❌ No file uploaded"
+        return f"❌ Upload error: {str(e)}"
 
 def analyze_file_with_question(user_question):
     """
@@ -39,13 +49,13 @@ def analyze_file_with_question(user_question):
     """
     global uploaded_file_path
     
-    if not uploaded_file_path or not os.path.exists(uploaded_file_path):
-        return "❌ No file uploaded or file not found. Please upload a file first."
-    
-    if not user_question or user_question.strip() == "":
-        user_question = "Provide a comprehensive analysis of this file including security, performance, and data insights."
-    
     try:
+        if not uploaded_file_path or not os.path.exists(uploaded_file_path):
+            return "❌ No file uploaded or file not found. Please upload a file first."
+        
+        if not user_question or user_question.strip() == "":
+            user_question = "Provide a comprehensive analysis of this file including security, performance, and data insights."
+        
         # Use the new guided analysis approach
         result = analyze_file_with_guidance_sync(uploaded_file_path, user_question)
         return result
@@ -80,8 +90,7 @@ with gr.Blocks(title="DataForge - AI-Powered File Analysis") as demo:
             gr.Markdown("### 📤 File Upload")
             file_upload = gr.File(
                 label="Upload File for Analysis",
-                file_types=[".txt", ".log", ".csv", ".json", ".xml", ".py", ".js", ".html", ".md"],
-                type="filepath"
+                file_types=[".txt", ".log", ".csv", ".json", ".xml", ".py", ".js", ".html", ".md"]
             )
             upload_status = gr.Textbox(
                 label="Upload Status",
@@ -121,16 +130,16 @@ with gr.Blocks(title="DataForge - AI-Powered File Analysis") as demo:
             )
     
     # Event handlers
-    file_upload.change(
+    file_upload.upload(
         fn=handle_file_upload,
-        inputs=[file_upload],
-        outputs=[upload_status]
+        inputs=file_upload,
+        outputs=upload_status
     )
     
     analyze_btn.click(
         fn=analyze_file_with_question,
-        inputs=[user_question],
-        outputs=[analysis_output]
+        inputs=user_question,
+        outputs=analysis_output
     )
     
     gr.Markdown("---")
@@ -179,4 +188,10 @@ with gr.Blocks(title="DataForge - AI-Powered File Analysis") as demo:
         """)
 
 if __name__ == "__main__":
-    demo.launch()
+    print("Starting DataForge application...")
+    try:
+        demo.launch(server_name="127.0.0.1", server_port=7860)
+    except Exception as e:
+        print(f"Error launching app: {e}")
+        # Fallback launch
+        demo.launch()