temp changes

README.md

@@ -1,5 +1,5 @@
 ---
-title: Agentic FLow
+title: Agentic Assistant
 emoji: 🐠
 colorFrom: green
 colorTo: red

agent.py

@@ -1,17 +1,19 @@
-from langchain.agents import initialize_agent, Tool
-from langchain.llms import HuggingFaceHub
-from langchain.utilities import SerpAPIWrapper
 import os
+from langchain.agents import initialize_agent, Tool
+from langchain_community.utilities import SerpAPIWrapper
+from langchain_huggingface import HuggingFaceEndpoint
 
-# Load LLM from Hugging Face Hub
-llm = HuggingFaceHub(
-    repo_id="google/flan-t5-large",
-    huggingfacehub_api_token=os.environ["HUGGINGFACEHUB_API_TOKEN"],
-    model_kwargs={"temperature": 0.7, "max_length": 512},
-)
 
+llm = HuggingFaceEndpoint(
+    repo_id="microsoft/DialoGPT-small",
+    huggingfacehub_api_token='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',
+    task="text-generation",
+    temperature=0.7
+)
 # Optional: Use web search tool
-search = SerpAPIWrapper()  # Requires SERPAPI_API_KEY env var
+# search = SerpAPIWrapper(api_key=os.environ["SERPAPI_API_KEY"])
+search = SerpAPIWrapper(serpapi_api_key="308082f0c98a96a1b8dac63242122d5df8a96b65678b17cee9e8462c857ec5c8")
+#   # Requires SERPAPI_API_KEY env var
 
 tools = [
     Tool(
@@ -27,4 +29,6 @@ def run_agent(prompt: str) -> str:
     try:
         return agent.run(prompt)
     except Exception as e:
-        return f"[Agent Error] {str(e)}"
+        import traceback
+        error_details = traceback.format_exc()
+        return f"[Agent Error] {str(e)}\n\nDetails: {error_details}"

app.py

@@ -5,7 +5,7 @@ def respond(message, history):
     reply = run_agent(message)
     return reply
 
-chat = gr.ChatInterface(respond, title="🧠 Agentic Assistant")
+chat = gr.ChatInterface(respond, title="🤖 Agentic Helper")
 
 if __name__ == "__main__":
     chat.launch()

requirements.txt

@@ -1,6 +1,7 @@
 gradio
 langchain-core
 langchain-community
-langchain-huggingface
+langchain_huggingface
 transformers
 serpapi
+google-search-results