Revert

README.md

@@ -1,3 +1,16 @@
+---
+title: DocAnalysis Qwen2.5 1.5B Instruct
+emoji: 📄
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 5.20.0
+app_file: app.py
+pinned: false
+license: mit
+short_description: Document Analysis using QWEN 2.5 1.5B Instruct model
+---
+
 # Specialist
 
 ## Install
@@ -17,19 +30,3 @@ bash run.sh
 ```
 
 ## Example
-
-## Hugging Face
----
-title: DocAnalysis Qwen2.5 1.5B Instruct
-emoji: 🏆
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 5.20.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: Document Analysis using QWEN 2.5 1.5B Instruct model
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

query.py

@@ -1,31 +0,0 @@
-# chat
-from QWEN import ChatQWEN
-from langchain_core.prompts import ChatPromptTemplate
-
-# prompt chat
-prompt = ChatPromptTemplate(
-    [
-        (
-            "system",
-            "You are Qwen, created by Alibaba Cloud. You are a helpful assistant that translates {input_language} to {output_language}.",
-        ),
-        ("human", "{input}"),
-    ]
-)
-
-# model creation
-llm = ChatQWEN()
-
-# pipeline
-chain = prompt | llm
-
-# query
-print(
-    chain.invoke(
-        {
-            "input_language": "English",
-            "output_language": "German",
-            "input": "I love programming",
-        }
-    ).content
-)

requirements.txt

@@ -7,8 +7,6 @@ unstructured==0.16.23
 unstructured[md]==0.16.23
 gradio==5.19.0
 # QWEN libs
-torch==2.4.1 
-langchain-deepseek==0.1.2
 torch==2.4.1
 triton==3.0.0
 transformers==4.46.3