Update app.py

app.py

@@ -1,34 +1,53 @@
+
+
 import os
 import gradio as gr
 from langchain.chat_models import ChatOpenAI
 from langchain import LLMChain, PromptTemplate
 from langchain.memory import ConversationBufferMemory
 
-OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')
+# ✅ Correct way to fetch the API key
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# ✅ This MUST be passed explicitly if running outside OpenAI-hosted envs
+if not OPENAI_API_KEY:
+    raise ValueError("OPENAI_API_KEY is not set in the environment variables.")
 
-template = """You are a helpful assistant to answer user queries and coding questions,act like a best programmer and explain evry thing like explaining it to a 5 year child.
+# ✅ Template
+template = """You are a helpful assistant to answer user queries and coding questions.
+Act like the best programmer and explain everything like explaining it to a 5-year-old.
 {chat_history}
 User: {user_message}
 Chatbot:"""
 
+# ✅ Prompt
 prompt = PromptTemplate(
     input_variables=["chat_history", "user_message"], template=template
 )
 
+# ✅ Memory
 memory = ConversationBufferMemory(memory_key="chat_history")
 
+# ❌ FIXED: temperature must be a float, not a string
 llm_chain = LLMChain(
-    llm=ChatOpenAI(temperature='0.5', model_name="gpt-3.5-turbo"),
+    llm=ChatOpenAI(temperature=0.5, model_name="gpt-3.5-turbo", openai_api_key=OPENAI_API_KEY),
     prompt=prompt,
     verbose=True,
     memory=memory,
 )
 
-def get_text_response(user_message,history):
-    response = llm_chain.predict(user_message = user_message)
+# ✅ Function needs to return a response AND history (for gr.ChatInterface)
+def get_text_response(user_message, history):
+    response = llm_chain.predict(user_message=user_message)
+    # History must be returned for the Gradio chat interface to maintain context
     return response
 
-demo = gr.ChatInterface(get_text_response)
+# ✅ Create interface
+demo = gr.ChatInterface(fn=get_text_response)
+
+# ✅ Required for Hugging Face Spaces (they call this file)
+demo.launch()
+
+
 
-if __name__ == "__main__":
-    demo.launch(share=True) #To create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`.
+