use env variables as inputs

.env.example

@@ -1,4 +0,0 @@
-SPACE_ID=
-HF_TOKEN=
-OPENAI_API_KEY=
-SERPAPI_API_KEY=

.gitignore

@@ -1 +0,0 @@
-.env

agents.py

@@ -1,21 +1,39 @@
 from smolagents import OpenAIServerModel, CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, VisitWebpageTool
 import markdownify
+import os
 
 import tools
 import prompts
 
-MANAGER_MODEL = "deepseek-ai/DeepSeek-R1"
-AGENT_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
-FINAL_ANSWER_MODEL = "deepseek-ai/DeepSeek-R1" # OpenAIServerModel
-WEB_SEARCH_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
-IMAGE_ANALYSIS_MODEL    = "HuggingFaceM4/idefics2-8b"
-AUDIO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
-VIDEO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
-YOUTUBE_ANALYSIS_MODEL  = "Qwen/Qwen2.5-Coder-32B-Instruct"
-DOCUMENT_ANALYSIS_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
-ARITHMETIC_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
-CODE_GENERATION_MODEL   = "Qwen/Qwen2.5-Coder-32B-Instruct"
-CODE_EXECUTION_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+if os.environ.get("OPENAI_API_KEY"):
+    MANAGER_MODEL = "deepseek-ai/DeepSeek-R1"
+    FINAL_ANSWER_MODEL = "deepseek-ai/DeepSeek-R1" # OpenAIServerModel
+else:
+    MANAGER_MODEL = "deepseek-ai/DeepSeek-R1"
+    FINAL_ANSWER_MODEL = "deepseek-ai/DeepSeek-R1" # OpenAIServerModel
+
+if os.environ.get("HF_TOKEN"):
+    AGENT_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    WEB_SEARCH_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    IMAGE_ANALYSIS_MODEL    = "HuggingFaceM4/idefics2-8b"
+    AUDIO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    VIDEO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    YOUTUBE_ANALYSIS_MODEL  = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    DOCUMENT_ANALYSIS_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    ARITHMETIC_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    CODE_GENERATION_MODEL   = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    CODE_EXECUTION_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+else:
+    AGENT_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    WEB_SEARCH_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    IMAGE_ANALYSIS_MODEL    = "HuggingFaceM4/idefics2-8b"
+    AUDIO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    VIDEO_ANALYSIS_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    YOUTUBE_ANALYSIS_MODEL  = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    DOCUMENT_ANALYSIS_MODEL = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    ARITHMETIC_MODEL        = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    CODE_GENERATION_MODEL   = "Qwen/Qwen2.5-Coder-32B-Instruct"
+    CODE_EXECUTION_MODEL    = "Qwen/Qwen2.5-Coder-32B-Instruct"
 
 # Agents
 

app.py

@@ -145,12 +145,47 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
-def test_init_agent_for_chat(text_input, history, file_name = ""):
+def test_init_agent_for_chat(question,
+                            openai_api_key,
+                            gemini_api_key,
+                            anthropic_api_key,
+                            space_id,
+                            hf_token,
+                            serpapi_api_key,
+                            file_name
+                            ):
 
     if file_name:
         file_name = f"data/{file_name}"
 
-    submitted_answer = orchestrate(text_input, file_name)
+    if not question:
+        raise gr.Error("Question is required.")
+    if not openai_api_key:
+        raise gr.Error("OpenAi Key is required.")
+    if not space_id:
+        raise gr.Error("Space Id is required.")
+    if not hf_token:
+        raise gr.Error("HF Token is required.")
+
+    try:
+        os.environ["OPENAI_API_KEY"] = openai_api_key
+        os.environ["GEMINI_API_KEY"] = gemini_api_key
+        os.environ["ANTHROPIC_API_KEY"] = anthropic_api_key
+        os.environ["SPACE_ID"] = space_id
+        os.environ["HF_TOKEN"] = hf_token
+        os.environ["SERPAPI_API_KEY"] = serpapi_api_key
+
+        submitted_answer = orchestrate(question, file_name)
+    
+    except Exception as e:
+        raise gr.Error(e)
+    finally:
+        del os.environ["OPENAI_API_KEY"]
+        del os.environ["GEMINI_API_KEY"]
+        del os.environ["ANTHROPIC_API_KEY"]
+        del os.environ["SPACE_ID"]
+        del os.environ["HF_TOKEN"]
+        del os.environ["OPENAI_API_KEY"]
 
     return submitted_answer
 
@@ -168,8 +203,83 @@ with gr.Blocks() as demo:
         """
     )
 
+    with gr.Row():
+        space_id = gr.Textbox(
+            label="space Id *",
+            type="password",
+            placeholder="sk‑...",
+            interactive=True
+        )
+        hf_token = gr.Textbox(
+            label="HF Token *",
+            type="password",
+            interactive=True
+        )
+        serpapi_api_key = gr.Textbox(
+            label="Serpapi API Key *",
+            type="password",
+            placeholder="sk-ant-...",
+            interactive=True
+        )
+
+    with gr.Row():
+        openai_api_key = gr.Textbox(
+            label="OpenAI API Key *",
+            type="password",
+            placeholder="sk‑...",
+            interactive=True
+        )
+        gemini_api_key = gr.Textbox(
+            label="Gemini API Key *",
+            type="password",
+            interactive=True
+        )
+        anthropic_api_key = gr.Textbox(
+            label="Anthropic API Key *",
+            type="password",
+            placeholder="sk-ant-...",
+            interactive=True
+        )
+    
+    with gr.Row():
+        question = gr.Textbox(
+            label="Question *",
+            placeholder="In the 2025 Gradio Agents & MCP Hackathon, what percentage of participants submitted a solution during the last 24 hours?",
+            interactive=True
+        )
+    
+    with gr.Row():
+        file_name = gr.Textbox(
+            label="File Name",
+            interactive=True,
+            scale=2
+        )
+    
+    with gr.Row():
+        answer = gr.Textbox(
+                label="Answer",
+                lines=1,
+                interactive=False
+        )
+
+    with gr.Row():
+        submit_btn = gr.Button("Submit", variant="primary")
+
     gr.LoginButton()
-    gr.ChatInterface(test_init_agent_for_chat, type="messages")
+    submit_btn.click(
+        fn=test_init_agent_for_chat,
+        inputs=[question, openai_api_key, gemini_api_key, anthropic_api_key, space_id, hf_token, serpapi_api_key, file_name],
+        outputs=answer
+    )
+    # gr.ChatInterface(test_init_agent_for_chat(
+    #                         question = question,
+    #                         openai_api_key = openai_api_key,
+    #                         gemini_api_key = gemini_api_key,
+    #                         anthropic_api_key = anthropic_api_key,
+    #                         space_id = space_id,
+    #                         hf_token = hf_token,
+    #                         serpapi_api_key = serpapi_api_key
+    #                     ), type="messages")
 
     # run_button = gr.Button("Run Evaluation & Submit All Answers")
 
@@ -183,32 +293,5 @@ with gr.Blocks() as demo:
     # )
 
 if __name__ == "__main__":
-    load_dotenv()
-    hf_token = os.getenv("HF_TOKEN")
-    if hf_token:
-        login(hf_token)
-    else:
-        print("ℹ️  HF_TOKEN environment variable not found (running locally?).")
-        
-    print("\n" + "-"*30 + " App Starting " + "-"*30)
-    # Check for SPACE_HOST and SPACE_ID at startup for information
-    space_host_startup = os.getenv("SPACE_HOST")
-    space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
-
-    if space_host_startup:
-        print(f"✅ SPACE_HOST found: {space_host_startup}")
-        print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
-    else:
-        print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
-
-    if space_id_startup: # Print repo URLs if SPACE_ID is found
-        print(f"✅ SPACE_ID found: {space_id_startup}")
-        print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
-        print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
-    else:
-        print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
-
-    print("-"*(60 + len(" App Starting ")) + "\n")
-
     print("Launching Gradio Interface for Basic Agent Evaluation...")
     demo.launch(debug=True, share=False)

multi_agent.py

@@ -15,15 +15,4 @@ def orchestrate(message, file_path):
 
     final_answer = agents.create_final_answer_agent(message).run(prompts.get_final_answer_prompt(message, initial_answer))
 
-    return final_answer
-    # def run_manager_workflow(message, file_path=None):
-    #     final_prompt = prompts.get_manager_prompt(message, file_path)
-    #     initial_answer = agents.create_simple_web_search_agent(message).run(message)
-
-    #     final_answer = agents.create_final_answer_agent(message).run(prompts.get_final_answer_prompt(message, initial_answer))
-
-    #     return final_answer
-
-    # final_answer =  run_manager_workflow(message)
-
-    # return final_answer
+    return final_answer