Update app.py

app.py

@@ -47,10 +47,10 @@ vectorstore.persist()
 # 🔐 Get HF token from env variable
 HF_API_KEY = os.getenv("HF_API_KEY")
 if HF_API_KEY is None:
-    raise ValueError("HUGGINGFACE_API_KEY environment variable is not set.")
+    raise ValueError("HF_API_KEY environment variable is not set.")
 
 # 🤖 Use HuggingFace Inference API (cloud) for LLM
-HF_MODEL = "deepseek-ai/deepseek-llm-7b-instruct"  # you can change this to another model if you like
+HF_MODEL = "deepseek-ai/deepseek-llm-7b-instruct"  # change if desired
 client = InferenceClient(token=HF_API_KEY)
 
 # 🔷 Wrap HF client into LangChain LLM interface
@@ -62,8 +62,8 @@ class HuggingFaceInferenceLLM(LLM):
 
     def _call(self, prompt, stop=None, run_manager=None, **kwargs):
         response = self.client.text_generation(
-            model=self.model,
-            inputs=prompt,
+            self.model,
+            prompt,
             max_new_tokens=512,
             temperature=0.7,
             do_sample=True,
@@ -104,4 +104,4 @@ with gr.Blocks() as demo:
     msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False)
     clear.click(lambda: None, None, chatbot, queue=False)
 
-demo.launch(debug=True)
+demo.launch(debug=True, share=True)  # share=True gives you a public link